software-architecture.md

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# [software-architecture](https://hackernoon.com/tagged/software-architecture)
### Let's learn about [Software Architecture](https://hackernoon.com/tagged/software-architecture) via these 500 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the [/Learn](https://hackernoon.com/learn) or [LearnRepo.com](https://learnrepo.com) to find the most read blog posts about any technology.

Software architecture is important if we are to understand systems in their entirety. It is primordial for system structure and a seamless decision-making process.

### [1. Architectural Foundations for Startups: Translating Business Into Tech](https://hackernoon.com/architectural-foundations-for-startups-translating-business-into-tech)
![](https://cdn.hackernoon.com/images/hGmqlCAR5CPsRUVfNA0UOz6UAeC2-j3434vl.png)
Planning too far ahead can backfire. It can slow your time to market, reduce flexibility, and increase burn rate.

### [2. Applying Transitive Closure to Sort Products Into Categories, Considering Nesting and Overlaps](https://hackernoon.com/applying-transitive-closure-to-sort-products-into-categories-considering-nesting-and-overlaps)
![](https://cdn.hackernoon.com/images/MWmN0wFmKPXt2oTolXIvjS33rvA2-2e132f4.png)
A guide to efficiently managing nested categories and overlapping products, ensuring fast retrieval without duplicates in e-commerce systems.

### [3. What’s the Database Plus Concept and What Challenges Can It Solve?](https://hackernoon.com/whats-the-database-plus-concept-and-what-challenges-can-it-solve)
![](https://cdn.hackernoon.com/images/ARCWTrgYpoc531106B2eMedWoT42-6993oqj.jpeg)
Explaining the Database Plus concept, its impact on system architecture design, and its innovations: from Proxyless Service Mesh to microservice backend support

### [4. How to Build a Resilient Microservice Architecture With Java](https://hackernoon.com/how-to-build-a-resilient-microservice-architecture-with-java)
![](https://cdn.hackernoon.com/images/software-zijmwar237dz31as5j05el5f.png)
Learn how to build fault-tolerant, scalable microservices using Java programming and Docker containers. 

### [5. Automating App Architecture Diagrams: How I Built a Tool to Map Codebases from the Source](https://hackernoon.com/automating-app-architecture-diagrams-how-i-built-a-tool-to-map-codebases-from-the-source)
![](https://cdn.hackernoon.com/images/EgbcflnJ52QSu5zjHCT9Xao2qAg2-raj33kk.jpeg)
NoReDraw instantly turns your code into clear architecture diagrams, linking key components and keeping documentation up-to-date.

### [6. Mastering SOLID Principles Like the Back of Your Hand in Just 8 Minutes!](https://hackernoon.com/mastering-solid-principles-like-the-back-of-your-hand-in-just-8-minutes)
![](https://cdn.hackernoon.com/images/L79Bn4QauxVT0oBr1v6HT1hm9Sg1-19a3rx9.gif.webp)
Boost Performance, Maintainability, and Scalability with SOLID Principles in React Applications!

### [7. 5 Caching Mechanisms to Speed Up Your Application](https://hackernoon.com/5-caching-mechanisms-to-speed-up-your-application)
![](https://cdn.hackernoon.com/images/MUo6MihNAVUIcUvRBbcToKZ7MKh1-tr93or1.jpeg)
In this article, we will discuss the various Caching strategies available and how to choose the right one for your use case.

### [8. 10 Tips for Using Diagrams to Ace The System Design Interview](https://hackernoon.com/10-tips-for-using-diagrams-to-ace-the-system-design-interview-906p3609)
![](https://cdn.hackernoon.com/images/95l31t8.jpg)
If you’re a software engineer interviewing for a backend role, you’ll probably be tested on how well you can design a system architecture given some goals and constraints. It's one of the most high-signal interviews, because it’s open-ended, which presents more opportunities for both mistakes and flexes. An important detail is that these interviews test not only your knowledge of backend systems, but also how effectively you can communicate your ideas.

### [9. How To Create Golang REST API: Project Layout Configuration [Part 1]](https://hackernoon.com/how-to-create-golang-rest-api-project-layout-configuration-part-1-am733yi7)
![](https://cdn.hackernoon.com/images/VZCQ0e1Yv2eJAMyEidHksLMysJ73-3v3d35xg.jpeg)
During past couple of years I have worked on few projects written in GO. I noticed that the biggest challenge developers are facing is lack of constraints or standards when it comes to project layout. I'd like to share some findings and patterns that have worked best for me and my team. For better understanding I'll go through steps of creating a simple REST API.

### [10. Understanding WhatsApp Architecture ](https://hackernoon.com/understanding-whatsapp-architecture)
![](https://cdn.hackernoon.com/images/OQ8w9673DVgSKBLD5tvDpKrOj4J2-7z93o6s.jpeg)
WhatsApp is one of the most used platforms for messaging. Information is sent immediately, which is why more websites use it for communicating with their users.

### [11. Understanding Modern CPU Architecture (Part 1)](https://hackernoon.com/understanding-modern-cpu-architecture-part-1)
![](https://cdn.hackernoon.com/images/TFghsCpzyUd39BUWURqsicWHvzD3-4l437h4.jpeg)
Learn the architecture of a modern central processing unit (CPU).

### [12. How I Solved the WebSocket Scaling Problem Without Breaking the Bank](https://hackernoon.com/how-i-solved-the-websocket-scaling-problem-without-breaking-the-bank)
![](https://cdn.hackernoon.com/images/EUbQBEJ3uVcGvWy8vGTiMhE1pfl2-880316r.png)
A long time ago, I had to create a scalable system that could be capable of handling hundreds of simultaneous connections at not very high cost.

### [13. The Eleven Defining Characteristics of Modern Software Architecture](https://hackernoon.com/the-eleven-defining-characteristics-of-modern-software-architecture-o8113ehc)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2F49MzbwJgmAWCx90Wbc3NLFxo2ui2-xzu3thr.jpeg?alt=media&token=d12de585-dd45-4efd-9e9b-2024165fbd38)
Introduction

### [14. Kafka vs RabbitMQ: Find the Best Fit for Your Project](https://hackernoon.com/kafka-vs-rabbitmq-find-the-best-fit-for-your-project)
![](https://cdn.hackernoon.com/images/uDihKEWmU4gsXdVadiBPmcV0QnF2-hmd34lm.jpeg)
Explore the key differences, features, and use cases of Kafka and RabbitMQ in modern distributed systems and microservices.

### [15. From N-Tier to Clean Architecture with .NET](https://hackernoon.com/from-n-tier-to-clean-architecture-with-net)
![](https://cdn.hackernoon.com/images/XCbLxne4HhcBPlbrrFbTNz5DUGv1-f0a3g92.jpeg)
The evolution of n-tier architecture as clean architecture with reference to domain models domain and application services and other relevant parts of the topic

### [16. Creating Clean Architecture Using Golang](https://hackernoon.com/creating-clean-architecture-using-golang-9h5i3wgr)
![](https://cdn.hackernoon.com/images/in8332xn.jpg)
Hi guys, I’m a Front-End developer. Before there was a time 2 years working CMS Magento, I like CMS Magento because system clean, and architecture database EAV (Entity — Attribute — Value) but I don’t understand why present I’m dev front-end (I don’t know) in the 2-year current. And present I chance comeback working position Back-End that I like. 

### [17. IoT in Manufacturing: What you Need to Know](https://hackernoon.com/iot-in-manufacturing-what-you-need-to-know)
![](https://cdn.hackernoon.com/images/dtsFKqwL3KZ43BFFEoYwTdyns4r1-e0d3msv.jpeg)

Discover IoT applications in manufacturing and the challenges you could expect if you set your mind on giving your manufacturing facilities an IoT upgrade.


### [18. The Anatomy of an API Gateway in Golang](https://hackernoon.com/the-anatomy-of-an-api-gateway-in-golang)
![](https://cdn.hackernoon.com/images/WN0EfcecKvZDMjih7vzsQvzeZiW2-xl92pxg.jpeg)
Build your own API gateway in Go

### [19. Opinionated or Not: Choosing the Right Framework for the Job](https://hackernoon.com/opinionated-or-not-choosing-the-right-framework-for-the-job-6x1u2ga0)
![](https://cdn.hackernoon.com/images/jqi2giw.jpg)
There’s a foundational question that every project starts with: accept the freedom to roll your own solutions along with the burdens that go with it, or take the chance to use sensible defaults that allow you to move quickly, but hide a multitude of decisions and set you on a prescriptive path.

### [20. Understanding Feature-Sliced Design: Benefits and Real Code Examples](https://hackernoon.com/understanding-feature-sliced-design-benefits-and-real-code-examples)
![](https://cdn.hackernoon.com/images/bKYjS2C6Rxcv14egxakvrg8O65x1-o9e3t5a.jpeg)
We explore the Feature Sliced Design pattern, a new architectural approach that promises to make software development more efficient and flexible.

### [21. How to Design a Web Application: Software Architecture 101](https://hackernoon.com/how-to-design-a-web-application-software-architecture-101-eecy36o5)
![](https://cdn.hackernoon.com/images/pf27b34dk.jpg)
So you’ve embarked on the entrepreneurial journey to build your own web application. You’ve got the idea in place, but the significance of getting the architecture right is extremely important.

### [22. How to Get Started With a Clean Architecture Template for NodeJS, Ts.ED and TypeScript](https://hackernoon.com/how-to-get-started-with-a-clean-architecture-template-for-nodejs-tsed-and-typescript)
![](https://cdn.hackernoon.com/images/3rNvpQx9qUPzmpydCiVLDrKEaZ03-7n93nnj.jpeg)
🔰🦸 Template to start developing a REST API with Node.js (Express), TypeScript, Ts.ED, ESLint, Prettier, Husky, Prisma, etc.

### [23. Handling Custom Type Mapping in Kafka Listeners for Messages with "TypeId" Header](https://hackernoon.com/handling-custom-type-mapping-in-kafka-listeners-for-messages-with-typeid-header)
![](https://cdn.hackernoon.com/images/L9ZlYsuXuFSbcM7F4sVNIlc7eAt2-0ca3rqo.jpeg)
This article has provided a step-by-step guide to configuring and implementing the custom type mapper.

### [24. Designing a Social Media News Feed System ](https://hackernoon.com/designing-a-social-media-news-feed-system)
![](https://cdn.hackernoon.com/images/OAWNH2u4oMfvIQnqBHkGhGDHPN72-t4a3kdf.jpeg)
Social media newsfeeds must be generated in near real-time based on the feed activity from the people that a user follows.

### [25. The Idempotence Principle in Software Architecture](https://hackernoon.com/the-idempotence-principle-in-software-architecture)
![](https://cdn.hackernoon.com/images/4wWmJ0ILxuQniqJvu4ilUo9QxHB3-g9c3wlc.jpeg)
This article explains the idempotence principle in software engineering and provides some practical implementations for developers.

### [26. How to Connect Distributed Clients to a Private InfluxDB Database](https://hackernoon.com/how-to-connect-distributed-clients-to-a-private-influxdb-database)
![](https://cdn.hackernoon.com/images/46r7B36ZH3SbJMt0oevk5FjrjTH2-wd93phh.jpeg)
Ockam enables developers to securely connect clients to the InfluxDB database with exposing it to the public internet. 

### [27. Part 2: Developing Software Requirements, A Case Study](https://hackernoon.com/foo-xv1x3278)
![](https://cdn.hackernoon.com/drafts/9722s32bl.png)
This is Part 2 of a 4 part series. Part 1: Why Software Requirements In The Real World Are Hard discusses the challenges of developing requirements and what good ones might look like. This post looks at the requirements development process and its outputs on a real-world project.

### [28. Opside Tokenomics (Pre-Alpha Version) ](https://hackernoon.com/opside-tokenomics-pre-alpha-version)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-cm92grx.png)
By developing a sophisticated three-layer blockchain architecture, Opside combines the strengths of Proof-of-Stake (PoS) and Proof-of-Work (PoW) consensus.

### [29. State Machines Can Help You Solve Complex Programming Problems](https://hackernoon.com/state-machines-can-help-you-solve-complex-programming-problems)
![](https://cdn.hackernoon.com/images/MUo6MihNAVUIcUvRBbcToKZ7MKh1-wn93o21.jpeg)
The notion of state machines is extremely useful in programming. It streamlines the process of developing more complicated use case apps.

### [30. Deployment Choice: Code Promotion vs Artifact Promotion](https://hackernoon.com/deployment-choice-code-promotion-vs-artifact-promotion)
![](https://cdn.hackernoon.com/images/HlPvCR30lTOi2R07CBF2r1ubNx73-s093e4o.jpeg)
When it comes to deployment, a choice must be made. Find out what's the difference in code promotion and artifact promotion

### [31. With JSONB Data in PostgreSQL, You Can Get the Best of Both Worlds](https://hackernoon.com/with-jsonb-data-in-postgresql-you-can-get-the-best-of-both-worlds)
![](https://cdn.hackernoon.com/images/MSz5cItz5WUhsx70vpmOX33Ohai2-v40366j.jpeg)
JSONB in PostgreSQL offers the best of relational and NoSQL. Here are two techniques that we use at AppLand to make JSONB data even more effective. 

### [32. Breaking the Monolith: A Comprehensive Guide to Code Splitting Techniques](https://hackernoon.com/breaking-the-monolith-a-comprehensive-guide-to-code-splitting-techniques)
![](https://cdn.hackernoon.com/images/xc4tHTeTFVT2acicoza639IgwXu1-b493sob.jpeg)
Discover how to elevate your codebase by mastering code splitting techniques. Make your project stand out with efficient and scalable front-end architecture

### [33. Choosing a PHP Framework for Microservice Architecture  ](https://hackernoon.com/choosing-a-php-framework-for-microservice-architecture)
![](https://cdn.hackernoon.com/images/cloud-computing-l6qj7emb07jra7z2xl7nk8rz.png)
Comparison of PHP frameworks and how suitable they are for the microservice architecture

### [34. How To Orchestrate Event-Driven Microservices](https://hackernoon.com/how-to-orchestrate-event-driven-microservices-pr1737a8)
![](https://cdn.hackernoon.com/images/vpqXMpmI8bgqTtKhpk9DeyVrOOv1-y4835y7.jpeg)
Want to add better visibility and flexibility to your microservies architecture? Read on to find out how adding a Conductor can help!

### [35. Designing an On-Demand Video Streaming Service](https://hackernoon.com/designing-an-on-demand-video-streaming-service)
![](https://cdn.hackernoon.com/images/OAWNH2u4oMfvIQnqBHkGhGDHPN72-mfd3lsk.jpeg)
The popular implementations of an on-demand video streaming service are the following: YouTube, Netflix, Vimeo, and TikTok. The video files are stored in a mana

### [36. Frontend Architecture Pitfalls in Startups: Lessons From Experience](https://hackernoon.com/frontend-architecture-pitfalls-in-startups-lessons-from-experience)
![](https://cdn.hackernoon.com/images/zUe8sFM0dqeu1BbbVYzVvIhD5vw1-1ea32vo.png)
Architectural mistakes made in the early stages significantly contributed to the failure of several startups I’ve worked with. Let's learn how to avoid them

### [37. Designing API Contracts for Legacy System Modernization](https://hackernoon.com/designing-api-contracts-for-legacy-system-modernization)
![](https://cdn.hackernoon.com/images/2plPwQvhmqOT3YyY9bklYNC4Nh52-gn13dvq.png)
A practical look at designing API contracts during legacy system modernization, focusing on real production failures and strategies to prevent silent regression

### [38. How to Sell A Technical Debt From a DevOps Perspective?](https://hackernoon.com/how-to-sell-a-technical-debt-from-a-devops-perspective)
![](https://cdn.hackernoon.com/images/jxATC86KARbX8vedj5ZBj31IElB3-4d83qcl.png)
Don't know how to sell a technical debt from the DevOps perspective? My article describes this in detail.

### [39. Hammering at Clean Architecture](https://hackernoon.com/hammering-at-clean-architecture-1wbr3cgo)
![](https://cdn.hackernoon.com/drafts/iz1r3c8g.png)
Who doesn’t like sharpshooting wood elves, chaos infested wastes and dwarfs digging deep under the mountain for treasures? Daring Sigmarite warrior priests and armour-clad chaos Chosen and all manner of other fantastic creatures? I know this might sound weird, but this is an article about programming! I’ve recently gained interest in trying to understand a bit more about Uncle Bob’s clean architecture design and, to do that, I’ve created a small app that I believe showcases some of the main strengths that I believe it has. Disclaimer: All Warhammer references are the property of Games Workshop and I also do not claim to be some clean architecture guru. But maybe this will help someone else with their first steps in grasping the concepts of this cool new toy I’ve found.

### [40. DONT Use REST for Microservices, OK?](https://hackernoon.com/dont-use-rest-for-micro-services-ju7k328m)
![](https://images.unsplash.com/photo-1494367067577-502b2c602fcc?ixlib=rb-1.2.1&q=80&fm=jpg&crop=entropy&cs=tinysrgb&w=1080&fit=max&ixid=eyJhcHBfaWQiOjEwMDk2Mn0)
You shouldn't be using a REST or RESTful interface for communication between your microservices. I'm not saying that to be controversial, I'm saying it because that's not what REST was designed for, it's not what REST is good at and it's definitely not the best nor easiest option out there.

### [41. Why Data Quality Is Becoming a Core Developer Experience Metric](https://hackernoon.com/why-data-quality-is-becoming-a-core-developer-experience-metric)
![](https://cdn.hackernoon.com/images/4gOoQaka91ewwYaCgYp050hBTfu1-ye23dt2.jpeg)
Bad data secretly slows development. Learn why data quality APIs are becoming core DX infrastructure in API-first systems and how they accelerate teams.

### [42. Becoming a Blockchain Architect in 10 Steps](https://hackernoon.com/becoming-a-blockchain-architect-in-10-steps-b5945701e9cd)
![](https://cdn.hackernoon.com/drafts/xtr32my.png)
I managed to do it, you can too.

### [43. Step-by-Step Guide to Building and Launching your Chrome Extension](https://hackernoon.com/step-by-step-guide-to-building-and-launching-your-chrome-extension-th3h3tx1)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2Fmo6FDyqxsmNgBKjqW9MRvCl9vfI3-j7793tyr.jpeg?alt=media&token=d1680010-6af8-4f65-9a66-ee6f0699da8e)
While building my first chrome extension, Foragear- Quick Search Tool, I struggled to find an article that covered the entire ideating, building, and launching process of chrome extensions. To make the lives of future chrome extension builders easier, here is an all-in-one guide to help you through the process. 

### [44. Understanding Ownership and Access Control in Solidity [A Detailed Guide]](https://hackernoon.com/ownership-and-access-control-in-solidity-nn7g3xo3)
![](https://cdn.hackernoon.com/drafts/wq3aa3xmk.png)
From the simple to the complex, with the code to reuse.

### [45. An Introduction to Backend Architecture ](https://hackernoon.com/an-introduction-to-backend-architecture-541g3zze)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FylnGlTHPFrVo7g2hEomtk5C2j3d2-nx2u3z7x.jpeg?alt=media&token=52e6b4a9-88af-4eb0-a370-e9abf055826c)
Front-end seems to be one of the most popular developers’ niche over the last years. Front-enders create the front view of the web application. The code consists of HTML, CSS, and JavaScript. Three of them create the magic we all experience on the internet. But there is much more than a web application that needs to work. The back-end is the other side of the applications that we don’t see, but the experience. 

### [46. Data Contracts Won't Save You If Your AI Agent Can't Read Them](https://hackernoon.com/data-contracts-wont-save-you-if-your-ai-agent-cant-read-them)
![](https://cdn.hackernoon.com/images/nZUOsUekMgduRcTLAVIl3En9Zs23-hj83e6t.gif.webp)
We built data governance for a world where humans read the warning labels. AI agents don't read. They just query. That gap is now a production risk.

### [47. Transitioning From VSCode to NeoVim](https://hackernoon.com/transitioning-from-vscode-to-neovim)
![](https://cdn.hackernoon.com/images/IvJ8puRpCzbvib1VYeG8JSQfwE12-ap93lmt.jpeg)
As a DevOps engineer, I recently reached a significant milestone: I switched code editors for the fifth time in my career.

### [48. The Differences between Shared and Private Caching](https://hackernoon.com/the-differences-between-shared-and-private-caching)
![](https://cdn.hackernoon.com/images/TlU0qyilehYV4XrjqgkglSwSK413-jme3q1e.png)
Do you know the difference between private and shared caches ?

### [49. 7 Rules for Writing a Good Commit Message](https://hackernoon.com/7-rules-for-writing-a-good-commit-message)
![](https://cdn.hackernoon.com/images/MUo6MihNAVUIcUvRBbcToKZ7MKh1-iaa3pid.jpeg)
In this article, we’ll outline a widely accepted yet simple format for good commit messages.

### [50. Application Logic for Notifications with Courier Automations](https://hackernoon.com/application-logic-for-notifications-with-courier-automations)
![](https://cdn.hackernoon.com/images/7OHSNWE6pKYVHaleLrssNcNVlPe2-lu93lfx.jpeg)
Courier Automations is a toolset that includes both an API and a visual builder that allows anyone to easily configure logic for notification workflows.

### [51. Optimal Communication Between Microfrontends and Cross-microfrontend Optimization](https://hackernoon.com/optimal-communication-between-microfrontends-and-cross-microfrontend-optimization)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-op92ied.jpeg)
In this article, we will discuss different options for sharing state and code between micro-frontends and highlight the benefits and drawbacks of each approach.

### [52. The Best Way to Use Timers in .NET C#](https://hackernoon.com/the-best-way-to-use-timers-in-net-c)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-7zc3q0s.jpeg)
Best Practice Using Timers in DotNet (.NET) CSharp (C#), Dependency Injection (DI), Inversion of Control (IoC), Test Driven Development (TDD), Unit Testing

### [53. How to Modify Private Network Information in Oracle Clusterware 19c](https://hackernoon.com/how-to-modify-private-network-information-in-oracle-clusterware-19c)
![](https://cdn.hackernoon.com/images/y8NpJmORWIQxyPvYCy7MXmsUZq53-g5b3pi8.jpeg)
How to Modify Private Network Information in Oracle Clusterware 19c.

### [54. How To Choreograph Event-Driven Microservices](https://hackernoon.com/how-to-choreoghraph-event-driven-microservices-l7p34v9)
![](https://cdn.hackernoon.com/images/vpqXMpmI8bgqTtKhpk9DeyVrOOv1-pj834lx.jpeg)
Don't get trapped in the Death Star! Choreographed microservices have all the benefits of a loosely coupled architecture, and only some of the pitfalls.

### [55. The Microservices Maestro](https://hackernoon.com/the-microservices-maestro-6t1dj372y)
![](https://cdn.hackernoon.com/drafts/ir1ct37ub.png)
Something I really like about living in the city is the fact that it is made for the masses. Despite its many defects (the rain not being one), Seattle is architected to enable hundreds of thousands of people to go through their busy days. It has a transportation system that interconnects different areas, it mandates different land usage policies for parks, residences, commerces and schools, and it provides restricted parking zones. It is designed for walking (assuming you like hills), it provides easy access to hospitals and it is guarded by police and fire departments.

### [56. Fully Covering .NET C# Console Application With Unit Tests](https://hackernoon.com/fully-covering-net-c-console-application-with-unit-tests)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-li93qjs.jpeg)
Best Practice Cover DotNet (.NET) CSharp (C#) with unit tests with Test Driven Development TDD Dependency Injection DI Inversion of Control IoC Containers

### [57. Hexagonal Architecture: Introduction  Part I](https://hackernoon.com/hexagonal-architecture-introduction-part-i-e51h36id)
![](https://cdn.hackernoon.com/drafts/3e1yl2mtm.png)
This article is for sharing my understanding about Ports & Adapters pattern (also known as Hexagonal Architecture), hoping it can be helpful to someone interested in this subject.

### [58. Software Architecture Basics: From Developer to Software Architect](https://hackernoon.com/software-architecture-basics-from-developer-to-software-architect)
![](https://cdn.hackernoon.com/images/f8ChYF2U4MRmYNmy61YoItMITZl2-00h3qet.jpeg)
Journey from a Developer to an Architect Role by expanding the focus and understanding of Software Engineering and solving problems in a group.

### [59. Microservices vs Monoliths: What is the Future of Software Architecture?](https://hackernoon.com/microservices-vs-monoliths-what-is-the-future-of-software-architecture)
![](https://cdn.hackernoon.com/images/UywsNzGrcbOcmVisJks2dZBSiNT2-mv93qby.jpeg)
 In today's fast-evolving tech landscape, two contrasting architectural patterns have emerged at the forefront: Microservices and Monoliths.

### [60. Staging Environments are Too Important to be Overlooked: Here's Why](https://hackernoon.com/staging-environments-are-overlooked-heres-why-they-matter-5jp2gm0)
![](https://cdn.hackernoon.com/images/bw163zv7.jpg)
Many development teams skip having a staging environment for their applications. They often submit a PR, potentially run tests in a CI system, merge to master, and then deploy to production. This is a risky pipeline because there is no true integration environment or integration testing being performed. What’s worse is that if there is an issue they may engage in “cowboy coding” to try to resolve the issue on their live production environment. 

### [61. Why Testing in Production Will Transform Your Success Game](https://hackernoon.com/why-testing-in-production-will-transform-your-success-game)
![](https://cdn.hackernoon.com/images/M6msD6vUdrTjVouQfJWkKhtvOem2-mk93up2.jpeg)
Supercharge success: Discover how testing in production could revolutionize your test strategy!

### [62. Introduction to Circuit Breaker Pattern: How to Build Better Software](https://hackernoon.com/introduction-to-circuit-breaker-pattern-how-to-build-better-software-d11g3t7g)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2F8dezzY1GzzORsFXtSs0lFy5AfNP2-iq43ywt.jpeg?alt=media&token=bd7cdeeb-ab31-4158-a70d-9c2ad5c2fe0a)
In any application, different sets of services/third-party APIs communicate either asynchronously (out of score from current context) or synchronously or sometimes both (rare cases).

### [63. Concurrency in Golang And WorkerPool [Part 2]](https://hackernoon.com/concurrency-in-golang-and-workerpool-part-2-l3w31q7)
![](https://cdn.hackernoon.com/images/3Ur17PtJhkV5UkAAJFu6z8t0fKg1-xq2l32ve.jpeg)
Project Link: https://github.com/Joker666/goworkerpool

### [64. Engineering Teams Can Ship Assignment Submission Portals in Hours: How You Can Do It Too](https://hackernoon.com/engineering-teams-can-ship-assignment-submission-portals-in-hours-how-you-can-do-it-too)
![](https://cdn.hackernoon.com/images/0sm1KIKmbZhu9AD2GAr4cKywoN43-yp43ebu.jpeg)
This guide is for engineering leaders who want to avoid this situation. Instead of building file handling from scratch, you can use ready-made file services

### [65. Model-View-Controller Architecture Pattern: Usage, Advantages, Examples](https://hackernoon.com/model-view-controller-architecture-pattern-usage-advantages-examples)
![](https://cdn.hackernoon.com/images/aBBfgZPPZyb0YobTc0dCp6i6p7V2-oma3kmt.jpeg)
How the MVC architecture is built, how the code is structured and it can benefit your work. 

### [66. How to Rollback to An Older Version of an App Without Building from Sources](https://hackernoon.com/how-to-rollback-to-an-older-version-of-an-app-without-building-from-sources)
![](https://cdn.hackernoon.com/images/imTOi6TzD2acj6NBGngoIn24v6x2-m5i3s9w.jpeg)
In today's blog post, we'll delve into an essential aspect of the mobile application realm: Testing Older Production Versions of an App.

### [67. The Best Free Online Tools to Compile, Format, and Even Convert Your Code (Plus More!)](https://hackernoon.com/the-best-free-online-tools-to-compile-format-and-even-convert-your-code-plus-more)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-smm3qf1.jpeg)
Free online tools for developers to help them with daily tasks. 

### [68. How to Cook WorkManager with Dagger 2](https://hackernoon.com/how-to-cook-workmanager-with-dagger-2)
![](https://cdn.hackernoon.com/images/MHLlbX9elwTYFzCpXCZEQwOJ2c92-611358w.png)
How to properly work with android's work manager library in the presence of dependency injection, with the example of integrating the Dagger 2 library. 

### [69. We Replaced 3 Senior Devs with AI Agents: One Year Later](https://hackernoon.com/we-replaced-3-senior-devs-with-ai-agents-one-year-later)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-va023i2.jpeg)
A Software Architect's account of replacing senior devs with AI. $238K savings became $254K in real costs. Why human judgment still matters.

### [70. Why Is Git So Complicated](https://hackernoon.com/why-is-git-so-complicated)
![](https://cdn.hackernoon.com/images/cPKBkmirofPe9l3sgbPBAqdKwGF3-k3a2ea1.jpeg)
Git is meant to always give you back the data exactly as it was saved OR let you know the repository is corrupted. And it does an amazing job with it.

### [71. A Guide to API Versioning Best Practices](https://hackernoon.com/a-guide-to-api-versioning-best-practices)
![](https://cdn.hackernoon.com/images/MUo6MihNAVUIcUvRBbcToKZ7MKh1-sfa3rp2.jpeg)
In this article, we will be discussing some of the best practices for API versioning for ease of user consumption and flexibility.

### [72. Using an Enum-Based Event Bus Pattern In Unity](https://hackernoon.com/using-an-enum-based-event-bus-pattern-in-unity)
![](https://cdn.hackernoon.com/images/rrt6IgK8skZjRRFXMecCXxLN5Pm1-8e94rja.jpeg)
The event bus pattern is a popular software design pattern used for exchanging messages between system components that are not directly linked to each other. 

### [73. Let's Automate Version Number Updates - NOT!](https://hackernoon.com/lets-automate-version-number-updates-not-a91q3x7n)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FMJpFVUEItkSdoh38rYo60VT7RfH3-wpw28cr.jpeg?alt=media&token=607179ec-5a87-41bc-b4d8-8bbc67d69fb0)
Say you need to update (bump) your software. It’s currently at version 1.2, all the required changes have been merged, and it’s time to publish version 1.3. That’s really easy, right? Change the version in one file, commit, tag, and push. Done!

### [74. "Unless you’ve been developing software in a cave"](https://hackernoon.com/unless-youve-been-developing-software-in-a-cave)
![](https://cdn.hackernoon.com/images/M6G22rxQzLTqx37eMqcSVG1Ybvj2-xo13ozy.jpeg)
In this article, we’ll look at some microservices best practices and suggest a few proven ways to help with your microservices architecture. 

### [75. Building Microservice Architecture With ASP.NET Core](https://hackernoon.com/building-microservice-architecture-with-aspnet-core)
![](https://cdn.hackernoon.com/images/computer-programming-clazf4gfu000001s64of39wy3.png)
 In this article, we provide you with an introduction to designing and maintaining microservices-based applications using ASP.NET Core.

### [76. The Difference Between Covariance and Contravariance in .NET C#](https://hackernoon.com/the-difference-between-covariance-and-contravariance-in-net-c)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-wmi3q62.jpeg)
Simple explanation of DotNet (.NET) CSharp (C#) Variance, Invariance, Covariance, and Contravariance. Providing a Cheat Sheet.

### [77. An Overview of Database Indexing for Beginners](https://hackernoon.com/an-overview-of-database-indexing-for-beginners)
![](https://cdn.hackernoon.com/images/MUo6MihNAVUIcUvRBbcToKZ7MKh1-zkb3p40.jpeg)
Database Indexing is the most common way known and utilized by backend developers to optimize database queries.

### [78. Beyond the Demo: Why LLM Applications Crash in Production](https://hackernoon.com/beyond-the-demo-why-llm-applications-crash-in-production)
![](https://cdn.hackernoon.com/images/ZaUoF8KpR5XpJCS96n75HJMcWQP2-sr03drd.jpeg)
 Production is the unmarked minefield that begins the moment you accept arbitrary user input and promise reliability.

### [79. Senior Engineers Are Becoming Failure Designers](https://hackernoon.com/senior-engineers-are-becoming-failure-designers)
![](https://cdn.hackernoon.com/images/ZaUoF8KpR5XpJCS96n75HJMcWQP2-2o03vx2.jpeg)
That's the mark of a modern senior engineer: not just writing code that works when everything goes right, but designing resilience into every line

### [80. A Deep Dive Into The Architecture of React: Structure and Dependencies (feat. Eunice)](https://hackernoon.com/eunice-analysis-of-react-2k1y32tl)
![](https://cdn.hackernoon.com/images/lu2x32lm.jpg)
This case study investigates and demonstrates the capabilities of Eunice, by using Eunice on the JavaScript library React.

### [81. Error Handling Strategies for Serverless Event-Driven Architecture](https://hackernoon.com/error-handling-strategies-for-serverless-event-driven-architecture)
![](https://cdn.hackernoon.com/images/QoikHTEYk2X2QLu7ERYPhujeyRU2-qjg3nc5.jpeg)
Designing the error handling for event driven architecture. 

### [82. Improving C# Software Design Using Plugin Architectures](https://hackernoon.com/improving-c-software-design-using-plugin-architectures)
![](https://cdn.hackernoon.com/images/FA4UT4FgGUfOjEjkcSYA2tYPEyG2-lm834u5.jpeg)
Learn about plugin architecture in C# to create extensible apps! This article provides examples with code snippets to explain how to start with C# plugins.


### [83. 3 Software Ownership Models and Joint Care for Dev Teams](https://hackernoon.com/3-software-ownership-models-and-joint-care-for-dev-teams-nd1u3z5l)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2Fwo54vA4dRXXTVVJQcL3vwFOoOn22-9h11s3t7w.jpeg?alt=media&token=ddd8acc2-6a8e-4b9a-bc8f-5ed56b2d5b3d)
In traditional software operations, software would be "thrown over the fence" to operations teams. Technical operations teams would be aided in operating a service using Standard Operating Procedures (SOPs). 

### [84. How To Handle Form and Validation with React?](https://hackernoon.com/how-to-handle-form-and-validation-with-react-9v143yfs)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FZhjIbvXP3nepA31GUobJFO0r40C3-aok2con.png?alt=media&token=8198199e-5bf5-44dc-b0a6-5caa159f6ddf)
Overview

### [85. An Essential Guide to Observer Design Pattern in .NET C#](https://hackernoon.com/an-essential-guide-to-observer-design-pattern-in-net-c)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-3pf3qvi.jpeg)
The Observer Design Pattern is one of the most important and commonly used design patterns.

### [86. Hexagonal Architecture: Use Case Part II](https://hackernoon.com/hexagonal-architecture-use-case-part-ii-se64339k)
![](https://cdn.hackernoon.com/drafts/4f2xb2l5y.png)
First of all, if you didn't read the previous post, please read first part before you jump into this section

### [87. The Ultimate Guide to C# and C++ Interoperability Using C++/CLI](https://hackernoon.com/the-ultimate-guide-to-c-and-c-interoperability-using-ccli)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-xa02wzd.png)
Learn how to efficiently bridge .NET (C#) and native C++ using P/Invoke and C++/CLI, with benchmarks and real-world integration tips.

### [88. How to Design a Kanban Board](https://hackernoon.com/how-to-design-a-kanban-board)
![](https://cdn.hackernoon.com/images/OAWNH2u4oMfvIQnqBHkGhGDHPN72-kpb3lvr.jpeg)
Some of the popular implementations of a Kanban board are the following: Trello, JIRA, Microsoft Planner, and Asana. The changes on the board are synchronized i

### [89. Is Go faster than Java? - The Wrong Question to Ask](https://hackernoon.com/is-go-faster-than-java-the-wrong-question-to-ask-y022348f)
![](https://cdn.hackernoon.com/images/g16lGoHgQzUa1mS5lR4hYuvO5VX2-u3b28ce.jpeg)
This means to compare programming languages on what really matters, which in most cases, specifically in the enterprise world, is how efficient it is to develop

### [90. Difference Between a Platform and a Framework](https://hackernoon.com/difference-between-a-platform-and-a-framework)
![](https://cdn.hackernoon.com/images/f8ChYF2U4MRmYNmy61YoItMITZl2-pq93psg.jpeg)
Difference between Platform and Framework.

### [91. Fixing Button CornerRadius in .NET MAUI](https://hackernoon.com/fixing-button-cornerradius-in-net-maui)
![](https://cdn.hackernoon.com/images/lczQKGMR4bMPiFOVKUaMudxC6iW2-aje3y0x.jpeg)
With .NET MAUI I tried to implement square 90 degree corners on buttons. Sadly I encountered a bug. I looked under the hood and fixed the issue including tests.

### [92. Writing an Event Bus for React](https://hackernoon.com/writing-an-event-bus-for-react)
![](https://cdn.hackernoon.com/images/XyqHIwK0xDMOGdIf5iTNW4CrLjb2-kg93vru.png)
Event Bus is great for lightweight event systems. We'll discover its use case in React and build an Event Bus from scratch with TypeScript.

### [93. Serverless Vs Microservices Architecture - A Deep Dive](https://hackernoon.com/serverless-vs-microservices-architecture-a-deep-dive-lw2u3w0b)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FMJpFVUEItkSdoh38rYo60VT7RfH3-qud28yb.jpeg?alt=media&token=84629b9b-c691-4154-a4d2-15fde67798b2)
Companies need to be thinking long-term before even starting a software development project. These needs are solved at the level of architecture: business owners want to assure agility, scalability, and performance. 

### [94. Dependency Management in Microservice Architecture: Creating Your Own Parent POM](https://hackernoon.com/dependency-management-in-microservice-architecture-creating-your-own-parent-pom)
![](https://cdn.hackernoon.com/images/m1niFilZlGUYAN3blcOrJ7nMPqh2-0ja3xqp.jpeg)
Simplify version management in microservices with a custom parent POM, ensuring consistent library versions across projects.

### [95. The A-Z Of Email Development And Sending Emails](https://hackernoon.com/the-a-z-of-email-development-and-sending-d9w33h4)
![](https://hackernoon.com/images/H19FxvSXXPdcpEVkInplMSIDxH82-cree33o6.jpeg)
All email fundamentals that every developer must know. What an email consists of, how it gets from sender to recipient, and other basics.

### [96. Webhooks Are Not the Same as APIs](https://hackernoon.com/webhooks-are-not-the-same-as-apis)
![](https://cdn.hackernoon.com/images/MUo6MihNAVUIcUvRBbcToKZ7MKh1-43b3r3v.jpeg)
In this article, we will discuss what makes them different from one another and what is the best case where they should be used.

### [97. ChatGPT in Software Engineering: A Glimpse Into the Future](https://hackernoon.com/chatgpt-in-software-engineering-a-glimpse-into-the-future)
![](https://cdn.hackernoon.com/images/uUy2hcEeUBUzpB2avIU9bM9u8Gt2-1093lqc.jpeg)
How ChatGPT can support the software development lifecycle and provide a glimpse into the future of human-AI collaboration in software engineering

### [98. Cracking System Design Interviews: Answers to Top 25 Interview Questions for Software Developers](https://hackernoon.com/cracking-system-design-interviews-answers-to-top-25-interview-questions-for-software-developers)
![](https://cdn.hackernoon.com/images/MQzhgEvAeOXyPo3IjFRz4IZU3K83-ome347f.jpeg)
Explore 25 key system design interview questions with detailed answers, covering topics like scalability, load balancing, proxies, database sharding, and more. 

### [99. A Linked List Implementation for Ethereum [Deep Dive]](https://hackernoon.com/a-linked-list-implementation-for-ethereum-deep-dive-oy9432pa)
![](https://cdn.hackernoon.com/drafts/j9cg22p2.png)
In this article I’ll introduce an implementation for Singly and Doubly Linked Lists, which you can reuse or modify for your own purposes. All the code is available in github or as an npm package.

### [100. Software Design Patterns Explained](https://hackernoon.com/software-design-patterns-explained)
![](https://cdn.hackernoon.com/images/B9T1IUJcMIUtnDyj3ZT2HrbhQmj1-32n3ilj.jpeg)
Software design patterns have been used to package solutions to many common design conundrums. Each one has its own advantages and drawbacks to consider.

### [101. Software Architecture Basics: What, How & Why](https://hackernoon.com/software-architecture-primer)
![](https://cdn.hackernoon.com/images/f8ChYF2U4MRmYNmy61YoItMITZl2-xqf3pg7.jpeg)
Software architecture, design and process of architecting explained using a case study.

### [102. Qwen3.5-9b-uncensored-hauhaucs-Aggressive Model: A Beginner's Guide to Get You Started](https://hackernoon.com/qwen35-9b-uncensored-hauhaucs-aggressive-model-a-beginners-guide-to-get-you-started)
![](https://cdn.hackernoon.com/images/an-inventor-tinkering-with-a-robot-lion-sketch-color-bd5guav02clct3guy50b4h0t.png)
Qwen3.5-9B-Uncensored-HauhauCS-Aggressive is an uncensored variant of the base Qwen3.5-9B model created by HauhauCS.

### [103. Event-Driven Architecture: Automatic DTO Generation From Event Documentation](https://hackernoon.com/event-driven-architecture-automatic-dto-generation-from-event-documentation)
![](https://cdn.hackernoon.com/images/L9ZlYsuXuFSbcM7F4sVNIlc7eAt2-7t93ppf.jpeg)
In this article, I would like to tell you how I solved the following task, namely the generation of DTOs using the JSON documentation that springwolf generates.

### [104. Database Connection Pooling With pgbouncer](https://hackernoon.com/database-connection-pooling-with-pgbouncer-wu323wly)
![](https://cdn.hackernoon.com/images/601f4xcz.jpg)
Introduction: The Postgres Connection Pool Problem

### [105. The Last Responsible Moment in Strategic Decision-Making](https://hackernoon.com/the-last-responsible-moment-in-strategic-decision-making)
![](https://cdn.hackernoon.com/images/rTGkuSmEEIdJxS4Bj7H8MUxQhOg2-vm93uki.jpeg)
Explore the Last Responsible Moment (LRM) in software architecture. Learn how strategic delay in decision-making fosters adaptability, minimizes risks, and boos

### [106. Beginners Guide to Docker for Ruby on Rails, PostgreSQL Development](https://hackernoon.com/beginners-guide-to-docker-for-ruby-on-rails-postgresql-development)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-si92fdi.jpeg)
In this beginner's guide, we will walk you through the process of dockerizing a Ruby on Rails application with PostgreSQL.

### [107. How to Use the Whiteboard in System Design Interviews ](https://hackernoon.com/how-to-use-the-whiteboard-in-system-design-interviews)
![](https://cdn.hackernoon.com/images/oVU0uCtWW5gjRJb1mX6oMC5dHc42-fd92clu.jpeg)
You'll likely be asked some system design questions when interviewing at many tech companies today. Here's how to use the whiteboard to answer them effectively.

### [108. A Deep Dive into Chat Architectures & Chat Engines that Enable You to Send Cat GIFs to Your Friends](https://hackernoon.com/how-to-send-a-cat-via-a-chat-or-chat-architecture-in-a-nutshell-3o2v32jl)
![](https://cdn.hackernoon.com/images/i4ms32c2.jpg)
Chatting is the most popular way to communicate and get things done today. Seriously, does anyone still make calls or send emails in the era of messengers?

### [109. How to Build Multi-Tenant Internal Services in AWS and CDK (Part 1): API Gateway and AppSync](https://hackernoon.com/how-to-build-multi-tenant-internal-services-in-aws-and-cdk-part-1-api-gateway-and-appsync)
![](https://cdn.hackernoon.com/images/26kpRt3PknayS6IXNzG41mCoU6V2-8fc3v3s.jpeg)
Build multi-tenant architecture for internal service with API Gateway and AppSync using AWS CDK

### [110. Which Database Is Right For You? HarperDB vs. MongoDB vs. PostgreSQL](https://hackernoon.com/which-database-is-right-for-you-harperdb-vs-mongodb-vs-postgresql-8m6a35uf)
![](https://cdn.hackernoon.com/images/W8O8r27oUwUryhNHNMOvKfQBLNn2-nb1e33jt.jpeg)
The purpose of this article is not to determine which database is the best but to help determine which is a fit for your specific project. 

### [111. How Atoms Fixed Flux](https://hackernoon.com/how-atoms-fixed-flux)
![](https://cdn.hackernoon.com/images/dgMWclIH0hOQrGwUJQcwZOCc97j1-r2d3pzt.jpeg)
The Flux architecture echoes throughout modern React state managers. Atomic libraries fulfill the original vision of Flux better than Flux ever could.

### [112. A Deep Dive into Styles and Structure Partitioning in Software Architecture](https://hackernoon.com/a-deep-dive-into-styles-and-structure-partitioning-in-software-architecture)
![](https://cdn.hackernoon.com/images/zEt3iwq2jkXsfmxS274Xbr9grdk1-7893q3v.jpeg)
Learn about software architecture styles and structure partitioning, their implementation, use cases, and a practical TODO example system.

### [113. The Thundering Herd Problem: Taming the Stampede in Distributed Systems](https://hackernoon.com/the-thundering-herd-problem-taming-the-stampede-in-distributed-systems)
![](https://cdn.hackernoon.com/images/qqJUWE2Dfggdwfx8DZKsjRWoOLC3-48134kv.png)
The thundering herd problem occurs when numerous processes simultaneously access a shared resource, overwhelming distributed systems.

### [114. Updating a .NET MAUI Canvas with Messaging events](https://hackernoon.com/updating-a-net-maui-canvas-with-messaging-events)
![](https://cdn.hackernoon.com/images/lczQKGMR4bMPiFOVKUaMudxC6iW2-yeb3uwn.jpeg)
In .NET MAUI the Canvas element can be used for drawing.
For a Chip 8 emulator I implemented publish/subscribe messaging to redraw the Canvas, in the game loop

### [115. Taking Your First Steps Towards Guix Home](https://hackernoon.com/taking-your-first-steps-towards-guix-home)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-cr92d32.jpeg)
A step by step guide on installing and configuring software for use with Guix Home.

### [116. The Complete Guide to Becoming a Software Architect](https://hackernoon.com/the-complete-guide-to-becoming-a-software-architect)
![](https://cdn.hackernoon.com/images/W5K8IGEqppYPrutFLaq1xe6VfAs2-7yg29zf.jpeg)
"I want to become a solution architect. What are the resources to learn more about architecture?" - We are all asking the wrong question.

### [117. How to Build a Scalable Tech Stack for a Growing SaaS Product](https://hackernoon.com/how-to-build-a-scalable-tech-stack-for-a-growing-saas-product-kq1i316q)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FjlpGX08AGNaYOud6XCP4xjgIk512-fn4h3wbx.jpeg?alt=media&token=cfbac15f-0724-42d7-842b-4737122af8c0)
In this article, I describe the main technical components of a SaaS product, and best practices around each one of them. 

### [118. Programmatic S3 Object Storage Integration With NodeJS](https://hackernoon.com/programmatic-s3-object-storage-integration-with-nodejs)
![](https://cdn.hackernoon.com/images/cF7mu2NOvjhw93apYPWBBmsndEM2-a893oww.jpeg)
Guide demonstrating how to programmatically integrate with a S3 compatible storage service for file upload.

### [119. Using Rate Limiting Algorithms for Data Processing Pipelines](https://hackernoon.com/using-rate-limiting-algorithms-for-data-processing-pipelines)
![](https://cdn.hackernoon.com/images/pDUI21JXq3hUt99Uzg6NBXjyGOB2-c2d3iyq.jpeg)
You may have already heard of rate limiting associated with REST API consumption. In this article I’ll show you a more complex use of this component...

### [120. 3 Top Resources To Learn About Apache Kafka](https://hackernoon.com/3-top-resources-to-learn-about-apache-kafka-1e3832xp)
![](https://cdn.hackernoon.com/images/fVfa2TQXUNWuqi5cY6GtYJfgb1k2-46683fo2.jpeg)
Top 3 books and tutorials on Apache Kafka

### [121. Hexagonal Architecture: the practical guide for a clean architecture](https://hackernoon.com/decoupling-your-technical-code-from-your-business-logic-with-the-hexagonal-architecture-c73y23zs4)
![](https://cdn.hackernoon.com/drafts/la3zn3zgh.png)
Did you ever face problems when comes the time to upgrade the stack of your software? Are you able to distinguish your functional tests from your integration ones? Migrating your legacy means rewriting everything from scratch?
Discover how the Hexagonal Architecture, a clean architecture pattern also known as Ports and Adapters, can help!

### [122. Monolith vs Composite UI - Future of UI Development?](https://hackernoon.com/monolith-vs-composite-ui-future-of-ui-development)
![](https://cdn.hackernoon.com/images/ARCWTrgYpoc531106B2eMedWoT42-fn93kjd.jpeg)
Using Composite UI in angular is one way to use a multiservice application in the backend that has a few advantages over the conventional, Monolith architecture

### [123. Crystal Programming Language is Slick Like Ruby and Fast Like C [An Overview]](https://hackernoon.com/crystal-programming-language-is-slick-like-ruby-and-fast-like-c-an-overview-p88838qx)
![](https://cdn.hackernoon.com/drafts/wusu330y.png)
In my never-ending quest to find harmony between speed of doing things (development speed) and speed of the thing (performance), I came across a project in its incubation phases which had me thinking: “This could be the one language for me.”

### [124. Explaining Clean Architecture in Flutter [Part 2: Practice]](https://hackernoon.com/explaining-clean-architecture-in-flutter-part-2-practice)
![](https://cdn.hackernoon.com/images/o7di6srkiYgC0zRYYUawjHy1wFf2-t4439l7.jpeg)
Part two of an explanation on creating Clean Architecture in Flutter with the development of a simple app that works with a NASA API for a demonstration.

### [125. Building Efficient Crypto Trading Software With Python](https://hackernoon.com/building-efficient-crypto-trading-software-with-python)
![](https://cdn.hackernoon.com/images/EoZlJheKCUSXBF4gIxl56zp7oyg1-yri3u2z.jpeg)
Learn about building efficient trading software principles, such as event-driven approach, microservices, and asynchronous programming.

### [126. How to Use Next.js to Implement the Backends-for-Frontends Pattern](https://hackernoon.com/how-to-use-nextjs-to-implement-the-backends-for-frontends-pattern)
![](https://cdn.hackernoon.com/images/g6d7uBnJu9SKvFzrtcQcdoIYCzW2-ntf3ljt.jpeg)
The Backends-for-Frontends pattern might be exactly what you need to avoid monolithic Backend APIs and Frontends bloated with business logic. 

### [127. Using the Builder Design Pattern in .NET C# to Develop a Fluent API ](https://hackernoon.com/using-the-builder-design-pattern-in-net-c-to-develop-a-fluent-api)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-5la3qa1.jpeg)
A step-by-step guide to developing a Fluent API from scratch in .NET C# using the Builder Design Pattern.

### [128. Monolithic vs Microservice Architecture: All You Need To Know](https://hackernoon.com/monolithic-and-microservice-architecture-all-you-need-to-know-hk17c32m0)
![](https://cdn.hackernoon.com/images/by2rl32g3.jpg)
The problem that enormous scale venture applications a work in progress bring to the table of programming designers was excessively. There was no arrangement at all to this issue that is the reason an alternate building style was required. Henceforth the expression "microservices" appeared after the economical advancement in distributed computing space, it was first utilized by Dr Peter Rogers in a meeting on distributed computing in 2005. 

### [129. 4 Software Engineering Principles You Should Know](https://hackernoon.com/4-software-engineering-principles-you-should-know-auv37bf)
![](https://cdn.hackernoon.com/images/SWuYxmBe5WPlAjznGj5Fb05Thnl1-y17b1azg.png)
Engineering principles that lead to better, robust and maintainable codebases.

### [130. Detecting Architectural Gaps with Automation - Proposed Solution](https://hackernoon.com/detecting-architectural-gaps-with-automation-proposed-solution)
![](https://cdn.hackernoon.com/images/Q0MEkqIRMhRChD3jYstuKKZtQhQ2-o38324d.jpeg)
Detecting Architectural Gaps with Automation: Comprehensive Overview of Proposed Software Solution's Architecture and Integration

### [131. Implementing Domain Driven Design For Microservices](https://hackernoon.com/implementing-domain-driven-design-for-microservices-dy1l31iw)
![](https://cdn.hackernoon.com/images/eZJ5yw2MSiY9lPKHcPJwv4aQ15i2-my493x7k.png)
Have you been finding it difficult to model boundaries of your system’s microservices? Have you been slowed down by the Technical complexity of your codebase? Has your team been stepping on each other’s toes ?

### [132. Five Architectures You Can Quickly Prototype on PaaS](https://hackernoon.com/five-architectures-you-can-quickly-prototype-on-paas-lz1432ky)
![](https://images.unsplash.com/photo-1531403009284-440f080d1e12?ixlib=rb-1.2.1&q=80&fm=jpg&crop=entropy&cs=tinysrgb&w=1080&fit=max&ixid=eyJhcHBfaWQiOjEwMDk2Mn0)
Sometimes, as an architect or developer, you want to try a new architecture or technical solution but just can't seem to find the time to install, configure, debug, and figure out an entirely new concept. Experimentation is a lot of work, project deadlines come first, and new tech is often one of your last priorities. 

### [133. Using MariaDB as a MongoDB NoSQL Database](https://hackernoon.com/using-mariadb-as-a-mongodb-nosql-database)
![](https://cdn.hackernoon.com/images/RLmwLcqcgCQhlcbhuqLdzf7ASis1-abm3st4.jpeg)
Using an intelligent database proxy, we'll demonstrate how you can perform complex SQL joins between a MariaDB and a MongoDB database.

### [134. My System Design Interview Checklist in 8 Simple Steps](https://hackernoon.com/my-system-design-interview-checklist-in-8-simple-steps-tr3a3ull)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FP6N5C82yLwaPjqveX0UELz6HmdZ2-tl373th9.png?alt=media&token=1f75b987-36b7-48f1-8e3f-6bc21fa5993f)
That dreaded system design interview. I remember the first system design question I was asked. “Design WhatsApp”, he said. I didn’t know where to start!  I was a fresher. Data structures and algorithms were the only things I knew. I am sure you can guess how that interview went. Then after enough research, I made myself a checklist of components, of sorts, to navigate me through my next system design interviews. And I sh*t you not, it works!

### [135. What is Software Development Life Cycle (SDLC)](https://hackernoon.com/what-is-software-development-life-cycle-sdlc)
![](https://cdn.hackernoon.com/images/XxaplhXavESMVtZUDKdex1reAit1-wf93ruj.jpeg)
Software Development Life Cycle (SDLC) Models are a set of guidelines to help developers manage the process.

### [136. Broken Windows Theory in Software Development: Why Details Matter](https://hackernoon.com/broken-windows-theory-in-software-development-why-details-matter)
![](https://cdn.hackernoon.com/images/U5DOZJ252selvmscTu9FCRgEi0v1-zh9368x.jpeg)
While some problems in the software development world may seem inconsequential, they can have serious side effects and costs on people and society

### [137. Design Pattern: Strategy Pattern in Practice](https://hackernoon.com/design-pattern-strategy-pattern-in-practice)
![](https://cdn.hackernoon.com/images/v04CI6R7scfhvbgfXuv9YsOLnx03-pnc3hry.jpeg)
Learn strategy design patterns with practical examples. Why and how to use strategy patterns in software design.

### [138. Cloud Architects Need More than Certifications](https://hackernoon.com/cloud-architects-need-certifications-plus)
![](https://cdn.hackernoon.com/images/125QJTRDxBYOCF63KJz9mn0Vqcg2-wb93ves.jpeg)
Are you AWS certified, Azure certified, or Google certified and struggling to get your first cloud architect or solution architect job? If so, I have some information that can help you.

### [139. Developer or Engineer? Does It Make a Difference?](https://hackernoon.com/developer-or-engineer-does-it-make-a-difference-ss4s3tk4)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FV9J0kJWT15dwSuG3CLQTn9lZjeE3-dqj3u4j.png?alt=media&token=7a864507-c796-400b-bf4a-6292fb836dd2)
From the desk of a brilliant weirdo #1:

### [140. Deep Dive Into Creating Node Project With Clean Architecture](https://hackernoon.com/node-clean-architecture-deep-dive-kp3y32gt)
![](https://cdn.hackernoon.com/drafts/c7jw32iu.png)
(Photo by Bench Accounting on Unsplash)

### [141. Memory Safe Strategy: Mastering the Language Architecture Matrix](https://hackernoon.com/memory-safe-strategy-mastering-the-language-architecture-matrix)
![](https://cdn.hackernoon.com/images/RHANbxrXjsYoxIMTyKJFleCFJyC3-7d83gq8.jpeg)
Discover the Language Architecture Matrix: Navigate programming language evolution and its impact on software projects.

### [142. Digging into Postgres's Lesser Known Features ](https://hackernoon.com/postgres-handles-more-than-you-think-yob124vl)
![](https://cdn.hackernoon.com/drafts/mw21l2anc.png)
Postgres Handles More than You Think

### [143. Data Loaders in a GraphQL Server](https://hackernoon.com/data-loaders-in-a-graphql-server)
![](https://cdn.hackernoon.com/images/CVJVmFJTS8XYIUScIq16e6cdB0t1-bzf3ldz.jpeg)
Learn how to optimize data fetching in a GraphQL server for queries, mutations and subscriptions, by using data loaders.

### [144. How to Implement Multi-Tenant Authentication with Keycloak in an Angular Spring Boot Stack](https://hackernoon.com/how-to-implement-multi-tenant-authentication-with-keycloak-in-an-angular-spring-boot-stack)
![](https://cdn.hackernoon.com/images/WBQpkGh5LQe6Os7jW7lmsAqCplw1-o503ue5.webp)
This article explores the implementation of multi-tenant authentication using Keycloak in a SaaS environment, specifically for an Angular and Spring Boot stack.

### [145. 10 Ways to Optimize Your Database](https://hackernoon.com/10-ways-to-optimize-your-database-zz2q3753)
![](https://cdn.hackernoon.com/images/M6G22rxQzLTqx37eMqcSVG1Ybvj2-z0n3550.jpeg)
Take these 10 steps to optimize your database.

### [146. 11 Key Design Patterns: An Essential Guide](https://hackernoon.com/11-key-design-patterns-an-essential-guide)
![](https://cdn.hackernoon.com/images/0Pc2dcjd4hh3TXkrjgio5gRxVFu2-m5133g1.jpeg)
There are 11 design patterns that can be used to create a factory for creating factories.

### [147. Battle of the Automatic Trade Signal Execution Architectures: 3Commas, Alertatron, Plurex](https://hackernoon.com/battle-of-the-automatic-trade-signal-execution-architectures-3commas-alertatron-plurex)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-4d92a92.jpeg)
You want Automatic Execution that suits the needs of your Trading Bot. A comparison of 3Commas, Alertatron and Plurex architectures and their pros and cons.

### [148. How to Deploy a Django Application on AWS with Terraform](https://hackernoon.com/how-to-deploy-a-django-application-on-aws-with-terraform)
![](https://cdn.hackernoon.com/images/noMC4PWra3fs1CNXxQJPvNIj8uQ2-oa93zvs.png)
The final goal of this guide is to create a scalable and reproducible setup of the Django Web Application on AWS using Terraform.

### [149. A Deep Dive Into Market-Leading Blockchain Analytic Solutions](https://hackernoon.com/a-deep-dive-into-market-leading-blockchain-analytic-solutions)
![](https://cdn.hackernoon.com/images/RnMZwfsSDPZG9OBXlKwd37WEDsH3-n593y84.jpeg)
Explore the pros and cons of industry-leading blockchain analytic tools, examining how each solution handles data across the blockchain network.


### [150. Using a REST API with Python](https://hackernoon.com/using-a-rest-api-with-python)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-oa93pps.jpeg)
Requesting fitness data (backlog) from Terra requires HTTP requests, so I’m writing an essential guide here on using a REST API with Python.

### [151. WTF is Commercial Open Source Software?](https://hackernoon.com/wtf-is-commercial-open-source-software-ep143e5t)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FZkfENnt2LdcfkiwMm6iukaGEHnB3-p31u30yu.jpeg?alt=media&token=2dcba042-bb57-495e-adab-a109b150e266)
Open-source evolution

### [152. Postman Collection for Salesforce: Mock Servers and Code Snippets](https://hackernoon.com/postman-collection-for-salesforce-mock-servers-and-code-snippets)
![](https://cdn.hackernoon.com/images/ZXvwWhuaiAY0BoWkm8U7fJ1XTLI2-l80369n.jpeg)
Whether you’re a longtime Salesforce developer or you’re new, Postman brings you all the tools you need to streamline the Salesforce API integration process.

### [153. Musings On Software Architecture: Monoliths to Microservices ](https://hackernoon.com/thoughts-on-software-architecture-monolith-to-microservices-2o7x2tqi)
![](https://cdn.hackernoon.com/drafts/ubbg2tgd.png)
I've been planning some of my personal projects lately and this subject kind of caught my mind. I've seen so much hype about microservices, that I need to put my thoughts into perspective... I know that microservices is a very valid architectural model and perhaps an inevitable stage of cloud software development once it scales…

### [154. Scalability: the Lost Level of React State Management](https://hackernoon.com/scalability-the-lost-level-of-react-state-management)
![](https://cdn.hackernoon.com/images/dgMWclIH0hOQrGwUJQcwZOCc97j1-qva3p6x.jpeg)
Apps grow. The React world often recommends half-baked solutions for state management. Prefer tools that scale well instead.

### [155. What is (wrong with) software?](https://hackernoon.com/what-is-wrong-with-software-uh8j3y7k)
![](https://cdn.hackernoon.com/images/meec26go.jpg)
Software is eating the world. Those of us who work, live and love software do not usually stop by to think about its meaning.

### [156. Demystifying SOLID Programming (Part 1): Single Responsibility Principle](https://hackernoon.com/demystifying-solid-programming-part-1-single-responsibility-principle)
![](https://cdn.hackernoon.com/images/rjEfNJmRsHbRtEujPZtEwxsM1vb2-p993qpf.jpeg)
We dive deep into the first principle of SOLID programming, the Single responsible principle. It states "A class should have one and only one reason to change"

### [157. Hauhaucs' Qwen3.5-27b-uncensored-hauhaucs-Aggressive Model on Huggingface: What You Need to Know](https://hackernoon.com/hauhaucs-qwen35-27b-uncensored-hauhaucs-aggressive-model-on-huggingface-what-you-need-to-know)
![](https://cdn.hackernoon.com/images/a-tiger-robot-sketch-scary-mithc894cbogbz2cweqwpume.png)
Qwen3.5-27B-Uncensored-HauhauCS-Aggressive is an uncensored variant of the original Qwen3.5-27B model, maintained by HauhauCS.

### [158. Scale Your Data Pipelines with Airflow and Kubernetes](https://hackernoon.com/scale-your-data-pipelines-with-airflow-and-kubernetes-go7r3y85)
![](https://cdn.hackernoon.com/images/b01293y07.jpg)
It doesn’t matter if you are running background tasks, preprocessing jobs or ML pipelines. Writing tasks is the easy part. The hard part is the orchestration— Managing dependencies among tasks, scheduling workflows and monitor their execution is tedious.

### [159. Rule-Based Prompts: How to Streamline Error Handling and Boost Team Efficiency with ChatGPT](https://hackernoon.com/rule-based-prompts-how-to-streamline-error-handling-and-boost-team-efficiency-with-chatgpt)
![](https://cdn.hackernoon.com/images/OSUTmJJtiXasM5DCthbFVDc3uBi1-xk123v3b.jpeg)
Here I’ll share how ChatGPT helped us to simplify the preparation of user stories and technical documentation, decrease our dependence on analysts etc.

### [160. Identifying Smart Contract Orchestration Patterns in Solidity](https://hackernoon.com/identifying-smart-contract-orchestration-patterns-in-solidity-pd223x20)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2F9nMyFjQNicRJ5HwksmBytJBySMi2-ln112x17.jpeg?alt=media&token=d441f833-56af-4efc-9339-879fb2cdc433)
All but the simplest of Ethereum applications are composed of several smart contracts. This is because of a hard limit of 24KB in any deployed contract, and because your sanity will slip away as the complexity of a smart contract grows.

### [161. Exception Handling with Examples](https://hackernoon.com/exception-handling-with-examples-wby3t1y)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2Ff8ChYF2U4MRmYNmy61YoItMITZl2-pm53u83.jpeg?alt=media&token=5a732e3a-800b-421b-8206-7b5727b647e7)
Exception handling is common to most programming languages, and the mechanism and behaviors are similar in most languages: try\catch\finally. It is well documented. We are not going to discuss that.

### [162. The Tech Stack of a Solo-Developer to build a SaaS With React and AWS](https://hackernoon.com/the-tech-stack-of-a-solo-developer-to-build-a-saas-with-react-and-aws)
![](https://cdn.hackernoon.com/images/Z7ZkCzqpkBdXJ4DMKYwft6zCe9q1-ga873568.jpeg)
My stack to build a SaaS with Next JS and serverless backend. A full-stack react SaaS boilerplate template to kickstart any project.

### [163. Android: An Effective Approach to Building Caches](https://hackernoon.com/android-an-effective-approach-to-building-caches)
![](https://cdn.hackernoon.com/images/c3L0820fReS37PRjnAKh6ZjRzMk1-6vd3yc4.jpeg)
Enhancing App Performance with Data Caching: A Step-by-Step Guide for Implementing Runtime and Persistent Cache in Your Android App

### [164. MCP is Already Dying](https://hackernoon.com/mcp-is-already-dying)
![](https://cdn.hackernoon.com/images/eu5dIKsHPOb7HcxKVW5fEwA0U0X2-b103ep4.png)
Is the Model Context Protocol a step backward? Explore why the traditional command line is still the most powerful & transparent interface for AI agents in 2026

### [165. Less Time Learning, More Time Building: A Quest for Secure Microservices ](https://hackernoon.com/less-time-learning-more-time-building-a-quest-for-secure-microservices)
![](https://cdn.hackernoon.com/images/cINIFbqqBHP6eJ0PSVZp9TroFeI3-c583dsx.jpeg)
Find out how cloud adoption alternatives like Heroku offer a strategic advantage in the evolving cloud landscape.

### [166. Fixing Oracle DGMGRL Error During Switchover to a Standby Database](https://hackernoon.com/fixing-oracle-dgmgrl-error-during-switchover-to-a-standby-database)
![](https://cdn.hackernoon.com/images/y8NpJmORWIQxyPvYCy7MXmsUZq53-8oc3pg1.jpeg)
Fixing DGMGRL error during switchover.

### [167. How Loop Is Building A Virtual Restaurant Operating System](https://hackernoon.com/how-we-built-a-virtual-restaurant-operating-system)
![](https://cdn.hackernoon.com/images/88uWqVknF7VJRL9QFgBe8kS59O53-yg93sk6.jpeg)
Sundar Annamalai and Vinod Pachipulusu about starting Loop as a virtual restaurant platform to help restaurants with their business.

### [168. How a Unicorn Startup in Japan Leveraged the Power of Microservices](https://hackernoon.com/how-a-unicorn-startup-in-japan-leveraged-the-power-of-microservices)
![](https://cdn.hackernoon.com/images/wsK39AH4s7c37tdGn7EIJk4L9mv2-oz93gyg.jpeg)
Startup experience in Mercari. Road to microservices from monolith.

### [169. Technical Debt or Technical Fraud](https://hackernoon.com/technical-debt-or-technical-fraud)
![](https://cdn.hackernoon.com/images/ueYYzQmNOge6YlmErl2oY9Lo6y53-3x92kd9.jpeg)
Technical Debt is one thing, but when let to fester for too long, it can become Technical Fraud. A much more dangerous and much more insidious predator.

### [170. Memory Mastery: Comparing Unity and .NET Garbage Collection](https://hackernoon.com/memory-mastery-comparing-unity-and-net-garbage-collection)
![](https://cdn.hackernoon.com/images/rrt6IgK8skZjRRFXMecCXxLN5Pm1-hre4rrg.jpeg)
Learn the differences between garbage collection in Unity and .NET, then go deep into the specifics of memory management in Unity.

### [171. Why Monolithic Architecture has a Bad Reputation](https://hackernoon.com/why-monolithic-architecture-has-a-bad-reputation)
![](https://cdn.hackernoon.com/images/8Pgwf9zh8ofcrVpyJ48U91QqZjk1-k2d3n3h.jpeg)
Pros and Cons of Monolithic Architecture in its traditional incarnation or as a Distributed Monolith.

### [172. Hacking Backward and Forward-Compatible Application Releases](https://hackernoon.com/hacking-backward-and-forward-compatible-application-releases)
![](https://cdn.hackernoon.com/images/4wWmJ0ILxuQniqJvu4ilUo9QxHB3-mhb34vn.jpeg)
Discover effective strategies and best practices for maintaining backward and forward compatibility in microservices architectures.

### [173. Clean Code: Interface Segregation, Dependency Inversion, SOLID Principles in TS [Part 5]](https://hackernoon.com/clean-code-interface-segregation-dependency-inversion-solid-principles-in-ts-part-5)
![](https://cdn.hackernoon.com/images/erom0wkF6nZC8UOvFBqlbSeNR4J2-n4831b1.jpeg)
Dive into the advanced concepts of clean code in TypeScript, focusing on the Interface Segregation Principle and Dependency Inversion Principle.

### [174. Microservices Architecture, The Decision Maker: Book Review ](https://hackernoon.com/microservices-architecture-the-decision-maker-book-review)
![](https://cdn.hackernoon.com/images/kntoEa6cB8QLavecNsk8B01UbLa2-x393oot.jpeg)
This book assists Architects and Engineers involved in the development of software in assessing whether a Microservice Architecture meets business needs.

### [175. This Web IDE Runs Your Code in the Cloud—Without Melting Your Laptop](https://hackernoon.com/this-web-ide-runs-your-code-in-the-cloudwithout-melting-your-laptop)
![](https://cdn.hackernoon.com/images/sAd13E0eNAPXnl8EkBslX1JTeSB2-i223dee.png)
The project is built on the principle of microservice architecture, which allows you to divide functionality into independent services. 

### [176. A Critical Detail about Kafka Partitioners](https://hackernoon.com/a-critical-detail-about-kafka-partitioners)
![](https://cdn.hackernoon.com/images/cute-monsters-partitioned-in-a-room-while-bystanders-look-by-clgm0qb99000001s63ocs8zyc.png)
Kafka works with key-value pairs, so getting records with the same key on the same partition is essential.

### [177. All the Coolest Trends Coming to the Agile Methodology in 2022](https://hackernoon.com/all-the-coolest-trends-coming-to-the-agile-methodology-in-2022)
![](https://cdn.hackernoon.com/images/aj3xbFpstic3cuoNnxwYiHpBNyj2-hp3373l.jpeg)
Agile Software Development can give companies versatility and help them navigate through change and complexities of the software space, improving efficiency.

### [178. Road to Simplicity: Hexagonal Architecture [Part One]](https://hackernoon.com/road-to-simplicity-hexagonal-architecture-part-one-6m123u0z)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FoIZ6zbypp5XdOfvNWimTAhHLpGC2-iy8u13p8.jpeg?alt=media&token=9b166fb9-fdb1-4ff9-afa5-85362f0b0dcd)
Software writing taught me that: a well written software is a simple software.

### [179. Software Development Life Cycle, Phases, Methodologies & Practices Explained!](https://hackernoon.com/software-development-life-cycle-phases-methodologies-and-practices-explained-4k1z35bj)
![](https://hackernoon.com/images/nGCDBifcc2NgIG6gQkfcTGqCAwJ3-nl1w33kr.jpeg)
The Software Development Life Cycle (SDLC) refers to a methodology with clearly defined processes for creating high-quality software. 

### [180. Importance and Method of Naming in Software Engineering](https://hackernoon.com/3-approaches-to-naming-in-software-engineering)
![](https://cdn.hackernoon.com/images/f8ChYF2U4MRmYNmy61YoItMITZl2-fv93qg9.jpeg)
Having self-explanatory names can significantly improve the maintainability of a software without putting any significant effort.

### [181. An Introduction to Micro-Frontends in Enterprise Applications (part 1)](https://hackernoon.com/an-introduction-to-micro-frontends-in-enterprise-applications-part-1-uy3333fr)
![](https://cdn.hackernoon.com/images/wU5YZ1o0hJWcQIfBB9iHVX1KJou2-4c6137s7.jpeg)
Leverage webpack module federation to build a scalable micro-frontends architecture.

### [182. Senior Web Developers Are Using These 11 Design Patterns to Write Squeaky Clean React Code](https://hackernoon.com/senior-web-developers-are-using-these-11-design-patterns-to-write-squeaky-clean-react-code)
![](https://cdn.hackernoon.com/images/YpXxsUjOJbVehoteB0eyPeom5do1-oy03c2q.png)
Discover 11 React Design Patterns You Need to Know to improve your code efficiency, scalability, and maintainability. Perfect for all React developers!

### [183. One Off to One Data Platform: Designing Data Platforms with Scalable Intent [Part 2] ](https://hackernoon.com/one-off-to-one-data-platform-designing-data-platforms-with-scalable-intent-part-2)
![](https://cdn.hackernoon.com/images/a-bunch-of-numbers-scatter-atop-a-scale-feq88iyfk6zyzps54hweff9p.png)
Introducing a data platform architecture framework that enables organizations to systematically design and implement scalable data platform.

### [184. How to Become a Better Engineer: Steel Threads](https://hackernoon.com/how-to-become-a-better-engineer-steel-threads)
![](https://cdn.hackernoon.com/images/Rb23uaREMkalhM7X3fdN0xnYgsT2-d3a3691.jpeg)
Learn a software design approach that will make you a better engineer.

### [185. How to Prepare for System Design Interview in 2024?](https://hackernoon.com/how-to-prepare-for-system-design-interview-in-2024)
![](https://cdn.hackernoon.com/images/MQzhgEvAeOXyPo3IjFRz4IZU3K83-bq836n9.jpeg)
 In the Software Engineering world, if you are applying for a Senior Engineer/Lead/Architect or a more senior role, System Design is the most sought-after skill

### [186. The 6 Core Concepts for HTTP Caching](https://hackernoon.com/the-6-core-concepts-for-http-caching)
![](https://cdn.hackernoon.com/images/TlU0qyilehYV4XrjqgkglSwSK413-lci3q6u.png)
The 6 core concepts you need to know to understand HTTP caching.

Don’t want to spend hours and hours reading RFCs and documentation ? Read this guide instead!

### [187. The 3 Levels of Clean Event-Driven Architecture](https://hackernoon.com/the-3-levels-of-clean-event-driven-architecture)
![](https://cdn.hackernoon.com/images/8Pgwf9zh8ofcrVpyJ48U91QqZjk1-27336ua.jpeg)
How do you define a Clean Event-Driven Architecture? Are there some patterns to help? How do you build it? Have you got any more questions? Let's answer them!

### [188. Thinking Critically About Monorepos and Why Its an Unhealthy Engineering Practice](https://hackernoon.com/thinking-critically-about-monorepos-and-why-its-an-unhealthy-engineering-practice)
![](https://cdn.hackernoon.com/images/wo54vA4dRXXTVVJQcL3vwFOoOn22-lua3foj.jpeg)
Over the past few months, I've seen more and more engineering teams move away from using monoliths. In this blog I explain why this is a good thing.

### [189. How to Use Domain-Driven Design in Micro-frontend Architecture](https://hackernoon.com/how-to-use-domain-driven-design-in-micro-frontend-architecture)
![](https://cdn.hackernoon.com/images/zz3g1E514SPvE9SAaiBerWs9THs2-zn930jj.jpeg)
Discover how to apply Domain-Driven Design principles to decompose micro-frontends. Improve your front-end architecture and enhance your development workflow.

### [190. How to Reduce AWS Lambda Costs](https://hackernoon.com/how-to-reduce-aws-lambda-costs)
![](https://cdn.hackernoon.com/images/ZXvwWhuaiAY0BoWkm8U7fJ1XTLI2-169o35be.jpeg)
There are many ways to reduce AWS Lambda costs. In this article, we'll take you through the AWS Lambda cost optimization strategies that have worked for us.

### [191. A Comprehensive Guide to Approaching Package Organization in Go](https://hackernoon.com/a-comprehensive-guide-to-approaching-package-organization-in-go)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-7192e1m.png)
Let's find out together how to structure Go code according to the best software engineering practices.

### [192. 5 Essential Software Architecture Design Principles ](https://hackernoon.com/5-essential-software-architecture-design-principles-l73x3win)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FnhqEdP9ERCRp7J5czNOC8UWdo1R2-h59c3wuw.jpeg?alt=media&token=56d525b0-d4ca-4d44-9bc8-34ac495902b7)
This post will talk about popular design principles used in the software architecture world. Architecture is about the decisions you wish you could get right early in a product or project lifecycle.

### [193. GraphQL is a Misunderstood Framework](https://hackernoon.com/graphql-is-a-misunderstood-framework)
![](https://cdn.hackernoon.com/images/jc0nBkgSMzVNJDxEJvqmX3jn4JY2-4202q6k.png)
GraphQL is an often misunderstood framework that went from being one of the most popular development innovations to an unfairly maligned one.

### [194. 5 Important Lessons I Learnt As A Software Engineer](https://hackernoon.com/5-important-lessons-i-learnt-as-a-software-engineer-mqn43a91)
![](https://cdn.hackernoon.com/drafts/rd9d3apd.png)
Recently I completed 2 years as a full-time software engineer. I started working since December 2017 at a company name Hullo.ai which was a small 10 people startup where I had to work on a multitude of things. In my first month, I had to write a Go server and dockerize it. My learning curve for the first month was something like this.

### [195. Important Caching Strategies: How to Create Resilient Caching in Symfony](https://hackernoon.com/important-caching-strategies-how-to-create-resilient-caching-in-symfony)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-zx03bcq.jpeg)
This article explores important caching strategies that solve expensive architectural problems: latency, concurrency (thundering herds), and security (GDPR)

### [196. The Code is No Longer the Source of Truth: Why Documentation is the New "Source Code"](https://hackernoon.com/the-code-is-no-longer-the-source-of-truth-why-documentation-is-the-new-source-code)
![](https://cdn.hackernoon.com/images/an-ancien-rolled-up-scroll-ct969y429a9vqorpepz6vn6e.png)
In an agentic world, your documentation—specifically your structured API contracts—has replaced your implementation as the actual source code.

### [197. Refactoring 019 - How to Reify Email Addresses](https://hackernoon.com/refactoring-019-how-to-reify-email-addresses)
![](https://cdn.hackernoon.com/images/RIiBoPtpMiRsMKX3dnzl5gb1Urj1-3k034ks.jpeg)
Here's how to avoid duplicate email validations.

### [198. How To Use Scrum With More Productivity And Less Pain](https://hackernoon.com/how-to-use-scrum-with-more-productivity-and-less-pain)
![](https://cdn.hackernoon.com/images/RRGB3HkLa0YNe09Q5nFeVo77v1K2-n6e3rtq.jpeg)
How to make the best of the Scrum methodology framework to improve productivity without being overwhelmed by rules and ceremonies.

### [199. Why You Shouldn’t Be Afraid of Rebases in Git](https://hackernoon.com/why-you-shouldnt-be-afraid-of-rebases-in-git)
![](https://cdn.hackernoon.com/images/cPKBkmirofPe9l3sgbPBAqdKwGF3-zn92duv.jpeg)
Rebases are a way of making your crude commit history into something you’ll want to share with the rest of your team.

### [200. Software Architects' headache - the Integration Point](https://hackernoon.com/software-architects-headache-the-integration-point)
![](https://cdn.hackernoon.com/images/u0oH89Eo5TRSzQ55Xm6hulaWJ0s2-6h93o1b.jpeg)
Today we will talk about a software architecture pattern of Architecture Points. Architects might find this knowledge interesting in solving their problems.

### [201. How to Build Progressive Web Apps with Lightning Web Components](https://hackernoon.com/how-to-build-progressive-web-apps-with-lightning-web-components-2u133wi5)
![](https://cdn.hackernoon.com/images/nTMgodFHH4evRjSdNFNz3dacaM23-l1cx36zq.jpeg)
Earlier this year, a post came out on the Salesforce Developers Blog, entitled “How to Build Progressive Web Apps with Offline Support using Lightning Web Components.” During the post's discussion about using Lightning Web Components (LWC) to build progressive web apps, it mentioned push notifications. My interest was piqued. How simple would it be to use LWC to build an app for push notifications? It turns out — really simple.

### [202. Qwen3.5-35B-A3B Uncensored Guide: Features, Capabilities, and Setup](https://hackernoon.com/qwen35-35b-a3b-uncensored-guide-features-capabilities-and-setup)
![](https://cdn.hackernoon.com/images/1773296377096_gcs4g1mo.png)
Explore Qwen3.5-35B-A3B Uncensored, a multimodal AI model with no refusals, advanced reasoning, and support for local deployment.

### [203. From Proposal to Platform: A Framework for Scaling Software](https://hackernoon.com/from-proposal-to-platform-a-framework-for-scaling-software)
![](https://cdn.hackernoon.com/images/QaRcy28d7AhdVOYEledsPN6rdwX2-c8037ke.jpeg)
Ever find yourself maintaining a prototype in production? Or struggling to scale siloed products? In this article, we explore a framework for scaling software.

### [204. Why I Don't Think TDD Is Essential ](https://hackernoon.com/why-i-dont-think-tdd-is-essential)
![](https://cdn.hackernoon.com/images/PVJZAra3SJb106HGMWMnMsiHUCk1-5n92eni.jpeg)
Test Driven Development puts emphasis on unit over integration tests. The result can be lower quality featuring bugs that are baked into the product.

### [205. An Analysis of Key Players in the Software Defined Storage (SDS) Market for 2022](https://hackernoon.com/an-analysis-of-key-players-in-the-software-defined-storage-sds-market-for-2022)
![](https://cdn.hackernoon.com/images/YqzNjVX0nYVlCUWqv4gnCWnKpey1-4c93om2.jpeg)
This blog examines the top Software-Defined-Storage (SDS) market players for 2022 and highlights the importance of each one as an enterprise solution. 

### [206. Build on Top: Using Open Source Platforms to Increase Productivity](https://hackernoon.com/build-on-top-saving-productivity-with-open-source-platforms)
![](https://cdn.hackernoon.com/images/sRDNsyX0c4TCCEJoPDTSzoNbnUD3-x8b3p9y.gif.webp)
Open source is the modern-day realization of that utopian dream.

### [207. I Test, Therefore it Works](https://hackernoon.com/i-test-therefore-it-works)
![](https://cdn.hackernoon.com/images/dFW9aLMnLpgfjylixlaQdWQLp2C3-zda3ov2.jpeg)
To put it simply, programmers make it work and testers make it break. The benefits beat the costs in the long run.

### [208. The Only Decoupling Checklist You Need To Know About](https://hackernoon.com/the-only-decoupling-checklist-you-need-to-know-about-e25232sz)
![](https://cdn.hackernoon.com/drafts/ewi3yfw.png)
My team has recently successfully decoupled one of the critical business domains of the company. The initial integration had such a tough deadline that the only way to meet it was to add code to the monolith. And… The feature that went from conception to production in three weeks ended up taking almost one year to decouple.

### [209. How to Set Up an Experiment Environment for Data-Driven Product Development](https://hackernoon.com/how-to-set-up-an-experiment-environment-for-data-driven-product-development)
![](https://cdn.hackernoon.com/images/cSAKd5lHO1h1I7FCHCKEDqY2Uoj1-faf36kx.jpeg)
Designing the experiment environment to enable A B testing for your product or service. Assign users to different groups and measure results of experiment 

### [210. How to Build a Microservices Architecture with Node.js and RabbitMQ ](https://hackernoon.com/how-to-build-a-microservices-architecture-with-nodejs-and-rabbitmq)
![](https://cdn.hackernoon.com/images/eQHzh6rz7ETBHLjs0KzCl1Dooqp2-6q0361n.png)
In this article, we will be exploring the concept of Microservice Architecture, and implementing basic microservices-driven software using Node.js and RabbitMQ.

### [211. 3 Reasons Webhooks Are Better than Regular HTTP Requests](https://hackernoon.com/3-reasons-webhooks-are-better-than-regular-http-requests)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-2793ppp.jpeg)
A guide on why Webhooks are often considered better than regular HTTP requests for a few reasons.

### [212. Software is a House: Unveiling the Parallels Between Product and Property](https://hackernoon.com/software-is-a-house-unveiling-the-parallels-between-product-and-property)
![](https://cdn.hackernoon.com/images/D5MApSvD1Rb0MhjW31WuVbcdLTO2-m894wjl.jpeg)
An extended analogy of software to home ownership 

### [213. Five Big Myths Surrounding Technical Debt](https://hackernoon.com/five-big-myths-surrounding-technical-debt-v53j32fd)
![](https://cdn.hackernoon.com/drafts/snx63ymp.png)
In a software company, people often talk about tech debt, usually blaming it for something bad that is happening, such as

### [214. 5 responsibilities of a Tech Lead and 17 Metrics to Track Their Performance](https://hackernoon.com/5-responsibilities-of-a-tech-lead-and-17-metrics-to-track-their-performance-fe203xmr)
![](https://cdn.hackernoon.com/drafts/t74m3wap.png)
Tech lead, team lead, software architects, and engineering managers — as any developer already knows, naming is hard. Throughout the industry, those roles are as fuzzy as their responsibilities.

### [215. Microservices for Humans: A No-Nonsense Introduction](https://hackernoon.com/microservices-for-humans-a-no-nonsense-introduction)
![](https://cdn.hackernoon.com/images/RX8xMnl8Q5fsB6oGTIzeeX6BLfh1-4q92kkk.jpeg)
This introduction to microservices teaches the core concepts with plain English explanations and examples. 

### [216. Modularity Concept in Java and .Net](https://hackernoon.com/modularity-concept-in-java-and-net-fwh3u1t)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FMJpFVUEItkSdoh38rYo60VT7RfH3-iv1n28xr.jpeg?alt=media&token=e4f3593f-60f6-4c20-a8d1-0282047cd8e9)
Modularity is central to modern software engineering - or may be all type of engineering not just software. We’ll explore support for modularity in Java and .Net platforms, but before that let’s first try to find answers for what and why of modularity.

### [217. 5 Ways that Microservices can be Deployed Effectively](https://hackernoon.com/5-ways-that-microservices-can-be-deployed-effectively)
![](https://cdn.hackernoon.com/images/deUGkuJB9Ggm3EcvgqnpHgqWZkX2-8f92hw4.jpeg)
The perfect place to host a microservice application is largely determined by its size and scaling requirements. So, let’s go over the 5 main ways we can deploy

### [218. Dreading a System Design Interview? Here Are Five Resources That Can Help🏅](https://hackernoon.com/dreading-a-system-design-interview-here-are-five-resources-that-can-help)
![](https://cdn.hackernoon.com/images/IzGq6ZjAP5bDH89ofBqoSUWRLuy1-9y93lbl.jpeg)
Top 5 resources to get yourself ready for system design interviews, including books, courses, and interview practice platforms.

### [219. When the Official Theming Path Was Not Enough: Making Kendo Behave in a Mixed Stack](https://hackernoon.com/when-the-official-theming-path-was-not-enough-making-kendo-behave-in-a-mixed-stack)
![](https://cdn.hackernoon.com/images/making-kendo-css-framework-behave-in-a-mixed-stack-fubv75o6xgt9ggr501glue0o.png)
Why theming breaks in mixed frontend stacks and how to fix it with isolation, render control, and strict composition rules.

### [220. DevOps in a Nutshell](https://hackernoon.com/devops-in-a-nutshell)
![](https://cdn.hackernoon.com/images/8TYrRgo0HFPExnKBzEy9yKwK4W12-owc3r0h.jpeg)
A snapshot of DevOps is a look at some of the process, best practices and mindset required to apply DevOps effectively.

### [221. Spring Boot - Annotation Cheatsheet Pt. 1](https://hackernoon.com/spring-boot-annotation-cheatsheet-pt-1)
![](https://cdn.hackernoon.com/images/413euGpz9JcvX40wUDuWJVtHdMz1-s2e3ooq.jpeg)
One-Place Reference with Code Samples for Spring Boot Annotations.

### [222. Why Distributed Systems Can’t Have It All](https://hackernoon.com/why-distributed-systems-cant-have-it-all)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-pw02toj.jpeg)
Modern distributed systems are all about tradeoffs. Performance, reliability, scalability, and consistency don't come for free—you always pay a price somewhere.

### [223. Building with PHP in the Era of Microservices and API-Driven Architectures](https://hackernoon.com/building-with-php-in-the-era-of-microservices-and-api-driven-architectures)
![](https://cdn.hackernoon.com/images/oTZ8b9FUzDSBeVCoipwJ5IEuU823-bd93t0d.jpeg)
Microservices can be made using lightweight PHP frameworks like Slim or Lumen, providing minimalistic setups that allow developers focus on core functionalities

### [224. Python as the Core of a Social Fintech Service](https://hackernoon.com/python-as-the-core-of-a-social-fintech-service)
![](https://cdn.hackernoon.com/images/QrMnmxqNYWcVX1tdZpiiZOE5DLM2-84m3to2.png)
Python is the go-to software for many niche applications, especially in Data Science and Machine learning. But it can also be used for niches like Fintech

### [225. As Software Eats the World, Game Engines Eat Software ](https://hackernoon.com/as-software-eats-the-world-game-engines-eat-software)
![](https://cdn.hackernoon.com/images/eq19l5PqMQRSgs9JQdEoeaQh7Su1-9193lv0.jpeg)
Marc Andreessen famously claimed “software is eating the world,” a decade later I claim "game engines are eating software"

### [226. The Work You Defer Only Accumulates Tech Debt](https://hackernoon.com/the-work-you-defer-only-accumulates-tech-debt)
![](https://cdn.hackernoon.com/images/8S7YTEYJyrdVGKzKgPKnA471tYm1-cw93pzc.jpeg)
Tech debt is deferred work for later. Think of technical debt as analogous to financial debt. It's not just the way they are named. If you have a debt — there i

### [227. When Should You Move to Microservices?](https://hackernoon.com/when-should-you-move-to-microservices)
![](https://cdn.hackernoon.com/images/PVJZAra3SJb106HGMWMnMsiHUCk1-yg92hox.jpeg)
Avoiding the small monolith antipattern. At what scale do Microservices make sense? Avoid a solution worse than the problem and understand the tradeoffs. 

### [228. UMA (User-Managed Access) 2.0: How It Works And What It Can Be Used For ](https://hackernoon.com/uma-user-managed-access-20-how-it-works-and-what-it-can-be-used-for-eh2834lu)
![](https://cdn.hackernoon.com/images/6kyWRUf5yVh84FRLRMec4J2o2rj1-6c1o34ri.jpeg)
User-Managed Access (UMA) is an OAuth-based access management protocol standard. Introduction to UMA and where it can be used.

### [229. Making the Single Responsibility Principle Practical](https://hackernoon.com/making-the-single-responsibility-principle-practical)
![](https://cdn.hackernoon.com/images/FUmMuBwNhpPp6qgj0iLHAWTb8SH3-y983u5t.jpeg)
Explore the Single Responsibility Principle through the prism of 'reasons to change' and cost balancing.

### [230. How to Accelerate App Performance by Performance Engineering? [Best Practices Inside]](https://hackernoon.com/how-to-accelerate-app-performance-by-performance-engineering-best-practices-inside)
![](https://cdn.hackernoon.com/images/C9EsKR37QbhulXhxzVP6McyHlXw1-ipa3pcn.jpeg)
Performance Engineering is one of the ways to enhance the quality and performance of an application. Check out the best practices to take advantage of it.

### [231. Use Database Transaction Logs to Implement Observer Pattern](https://hackernoon.com/use-database-transaction-logs-to-implement-observer-pattern)
![](https://cdn.hackernoon.com/images/INL4cGxrwnR0r7FDyWTj45Z5Oxy1-qha2nep.jpeg)
The best way to implement the observer pattern - using transaction logs of databases.

### [232. A Principal Architect's Learnings From Using AWS Step Functions For One Year in Production](https://hackernoon.com/a-principal-architects-learnings-from-using-aws-step-functions-for-one-year-in-production-later)
![](https://cdn.hackernoon.com/images/N0ENUd29UdNJCFcl7GnmZHdk2fA2-wt039yg.jpeg)
This article summarizes our learnings at SSENSE in applying WAS' Step Functions; what worked, what didn’t, and what should be improved in its ecosystem.

### [233. FLUX.2 klein Trainer (Edit): Fine-Tune LoRAs on a Lean 4B Base](https://hackernoon.com/flux2-klein-trainer-edit-fine-tune-loras-on-a-lean-4b-base)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-m5024hw.jpeg)
A simplified guide to fal-ai’s FLUX.2 klein LoRA trainer for editing.

### [234. Pool Architecture for Saas](https://hackernoon.com/pool-architecture-for-saas-qil3ur3)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2F5pQpZNSj2mO0Oi9X4Lrj7YIqfHE2-ap2s285o.jpeg?alt=media&token=89deeb94-1a93-4ed8-b818-f974228f3045)
Most of the startups facing scaling problems move to microservices. Inspired by cell-based architecture, it split services per function and scale only specific features. It works especially well for B2C where traffic is uniformly spread across users. However, B2B can face a different type of scaling issue where only one user is scaling. A pool architecture is a simpler yet powerful solution, used both by GAFA and fast-growing startups.

### [235. The Core Principle of Separation of Concerns & Twitter's Value-Driven Approach](https://hackernoon.com/the-core-principle-of-separation-of-concerns-and-twitters-value-driven-approach)
![](https://cdn.hackernoon.com/images/XYu0WezGWxdmhX7srGTJNzN8hHj2-df93rp1.jpeg)
Achieving scalability and robustness in system design requires careful consideration of business and architectural needs, and a deep understanding of technology

### [236. How I Used Raspberry Pi to Detect Water Leaks in My Home](https://hackernoon.com/how-i-used-raspberry-pi-to-detect-water-leaks-in-my-home)
![](https://cdn.hackernoon.com/images/7OHSNWE6pKYVHaleLrssNcNVlPe2-r293mzt.jpeg)
I decided to invest in a Raspberry Pi and Courier to make sure that I would get a notification any time there was even a small leak in my home. 

### [237. The Basics of Secure Application Architectures - Separation, Configuration, and Access](https://hackernoon.com/secure-application-architecture-basics-separation-configuration-and-access-nc1fo2884)
![](https://cdn.hackernoon.com/images/x81f328lz.jpg)
A starting point for building secure application architecture for busy developers

### [238. Beyond Microservices: Why Platform Engineering is the Key to Future-Proofing Software Architectures](https://hackernoon.com/beyond-microservices-why-platform-engineering-is-the-key-to-future-proofing-software-architectures)
![](https://cdn.hackernoon.com/images/WtWxvvG7CQcT3EqVUXpTUVpIt9a2-d3033xl.png)
Platform engineering offers scalable, efficient, and integrated solutions to overcome microservices' operational complexities.

### [239. Top 6 Software Development Methodologies of 2022](https://hackernoon.com/top-6-software-development-methodologies-of-2022)
![](https://cdn.hackernoon.com/images/mjVy8NoBG6dO0Aewhy3sHk9nAo63-cg5373e.jpeg)
Here are the top 6 software development methodologies that the project manager and the team must follow throughout the software development process.

### [240. To Sp or Not To Sp](https://hackernoon.com/to-sp-or-not-to-sp)
![](https://cdn.hackernoon.com/images/iGSqmZjHpicjQeKy6B9FikRSS8l2-k333yzo.jpeg)
Harmless-looking EF Core code can bottleneck performance. Let’s unpack why stored procedures might be better and how team habits play a role.

### [241. Understanding Caching in Distributed Systems ](https://hackernoon.com/understanding-caching-in-distributed-systems)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-us93rv2.jpeg)
Speed up your Distributed System by adding a High Available and Highly Consistent Caching Layer

### [242. Spring Boot - Annotation Cheatsheet Pt. 1b](https://hackernoon.com/spring-boot-annotation-cheatsheet-pt-1b)
![](https://cdn.hackernoon.com/images/413euGpz9JcvX40wUDuWJVtHdMz1-qra3o2f.jpeg)
Spring/Boot REST API and Stereotype Annotations Reference for Learning and for Daily Development.

### [243. An Introduction to Microservice Messaging in Kubernetes](https://hackernoon.com/an-introduction-to-microservice-messaging-in-kubernetes-863k33bc)
![](https://cdn.hackernoon.com/images/nTMgodFHH4evRjSdNFNz3dacaM23-c82231b0.jpeg)
In this article, I’ll share the benefits of messaging in Kubernetes and the difficulties that can come with legacy solutions.

### [244. You’re Building AI Agents Wrong. Here’s How to Fix That with AAC](https://hackernoon.com/youre-building-ai-agents-wrong-heres-how-to-fix-that-with-aac)
![](https://cdn.hackernoon.com/images/KKgJo9L6i5hBlUxP8D37SD3t8tl2-in13b2h.jpeg)
Fragile, chaotic AI agents are everywhere. AAC is a simple yet powerful architecture that brings structure, scalability, and reliability to your agent systems.

### [245. Rule Engine + LLM Hybrid Architectures for Safer Code Generation](https://hackernoon.com/rule-engine-llm-hybrid-architectures-for-safer-code-generation)
![](https://cdn.hackernoon.com/images/futuristic-engine-o52swkxva4c1dgv2pe0lqfm7.png)
AI-generated code is no longer science fiction—it’s part of the modern developer’s toolkit. 

### [246. Why you Should Build your Next Fintech App in Python](https://hackernoon.com/why-you-should-build-your-next-fintech-app-in-python)
![](https://cdn.hackernoon.com/images/rIYlUN7E69TlksljteFpvH2i1v12-mc93ks4.jpeg)
Get to know about the top reasons to choose Python for Fintech app development. Check out popular apps built with Python along with the use cases.

### [247. All You Need To Know About Model View Controller](https://hackernoon.com/all-you-need-to-know-about-model-view-controller-exi3ti3)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FvJ5Oq0ac5kNWepKGQrNIgp5csQ52-i653umh.jpeg?alt=media&token=97e0edb9-b057-4526-b8d2-3a954124454a)
In this article we're talking about MVC also known as Model View Controller. Everywhere in the software engineering taking about MVC. So let's jump on to the content.

### [248. The Design of Model Productionization Architecture in Data Science](https://hackernoon.com/the-design-of-model-productionization-architecture-in-data-science)
![](https://cdn.hackernoon.com/images/lsDIIdQCayYoreyVyKVsDN2UpdV2-mp93r73.jpeg)
A lot of companies struggle to bring their data science projects into production.
It is mainly because there is a huge knowledge gap.

### [249. Transforming Legacy with Domain-Driven Design, I: Preconditions](https://hackernoon.com/transforming-legacy-with-domain-driven-design-i-preconditions)
![](https://cdn.hackernoon.com/images/3L1CP4liRQQ55QjQn3vJVyA00H52-wj23d9r.jpeg)
In this series of articles, I would like to share my practical experience implementing Domain-Driven Design to a complex legacy project.

### [250. Reference Architecture for Network Secured Azure Web App](https://hackernoon.com/reference-architecture-for-network-secured-azure-web-app)
![](https://cdn.hackernoon.com/images/Kyp42ELBfSQFE0BBbuHmr7Pm1862-sg93w9z.jpeg)
Cloud solution architecture of Azure hosted web application from Network Security perspective using Azure App Service, Azure SQL using Private Endpoints

### [251. Finding Product of Array Except Self](https://hackernoon.com/finding-product-of-array-except-self)
![](https://cdn.hackernoon.com/images/WyL2V0Nj20amUlioe5bpd0cPHF92-9lb3pvx.jpeg)
Sergei Golitsyn. Find the product of all the elements of nums except nums[i].
The product of any prefix or suffix of nums is guaranteed to fit in a 32-bit int

### [252. Ultimate Guide To Building an Unbeatable Multi-Tenant SaaS Startup With Heroku [Part 1]](https://hackernoon.com/ultimate-guide-to-building-an-unbeatable-multi-tenant-saas-startup-with-heroku-part-1-1iw3ttj)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FMJpFVUEItkSdoh38rYo60VT7RfH3-bk144xl1.jpeg?alt=media&token=47ec2ca8-c162-4b5d-ad9b-e5540bd22011)
In this multi-part series, I'll transform a new application into a multi-tenant experience running in the Heroku ecosystem. This article focuses on the object model, design, architecture, and security.

### [253. Load Balancing Strategies for Applications: From Infrastructure to Code](https://hackernoon.com/load-balancing-strategies-for-applications-from-infrastructure-to-code)
![](https://cdn.hackernoon.com/images/4wWmJ0ILxuQniqJvu4ilUo9QxHB3-a99348a.jpeg)
Selecting the right load balancing strategy can be a game-changer for your application's performance, scalability, and user experience.

### [254. When You Shouldn't Use Async in Python](https://hackernoon.com/when-you-shouldnt-use-async-in-python)
![](https://cdn.hackernoon.com/images/da7H4NzOhAdhje46xkTgaLorF5m2-m1931xl.jpeg)
What comes to a Python developer’s mind when he needs to write an I/O bound application? Of course async. Why? Usually, because it’s a trend. And I’ve seen this

### [255. 5 Best Practices for Effective Log Management](https://hackernoon.com/5-best-practices-for-effective-log-management)
![](https://cdn.hackernoon.com/images/h3xSiiZTmOSTZyrfzYGqw7Pe3rC2-qf93q06.jpeg)
What Are Log Files? And how can they be managed in a cloud-native infrastructure?

### [256. Record-Replay Strategy for Testing Event-Driven Architecture](https://hackernoon.com/record-replay-strategy-for-testing-event-driven-architecture)
![](https://cdn.hackernoon.com/images/cgWjp7zgWNd0KxKT11wmoUahkLg1-dpa3ooy.jpeg)
Testing event-driven architectures like kafka based systems using record-replay strategy.  

### [257. Starting Web Development? Remember These 5 Things](https://hackernoon.com/5-things-to-decide-on-before-web-development-nbd1329t)
![](https://cdn.hackernoon.com/drafts/7wbf32by.png)
Originally I shared this story to Syndicode blog, and now I'm making a summary with small additions.

### [258. I Built a Platform to Help Users Practice Programming Challenges Guided by AI](https://hackernoon.com/i-built-a-platform-to-help-users-practice-programming-challenges-guided-by-ai)
![](https://cdn.hackernoon.com/images/JvjCOSrRbJTj3eDxmY8zFRxYoRF3-op8344j.jpeg)
Walking  through the process of building a platform leveraging AI to help users practice for interviews; integrating feedback from the first few live user tests

### [259. How to Design a Functional Pastebin](https://hackernoon.com/how-to-design-a-functional-pastebin)
![](https://cdn.hackernoon.com/images/OAWNH2u4oMfvIQnqBHkGhGDHPN72-6ud3lqv.jpeg)
This article gives a skeletal guide for designing your very own pastebin.

### [260. Efficiently Manage Data with Hierarchical Tree Structure in .NET C#](https://hackernoon.com/efficiently-manage-data-with-hierarchical-tree-structure-in-net-c)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-yr93qp9.jpeg)
Learn how to represent Hierarchical Tree (Parent, Child) form data and its related operations in DotNet (.NET) CSharp (C#) Coding Programming Best Practices

### [261. Symfony 7.4: 10 Advanced Logging Patterns You Should Know About](https://hackernoon.com/symfony-74-10-advanced-logging-patterns-you-should-know-about)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-cr83el9.jpeg)
Master Symfony 7.4 logging: 10 advanced Monolog patterns. Use FingersCrossed, JSON & Attributes to turn text logs into actionable observability data

### [262. "DevOps Engineers Boost the Efficiency and Profitability of High-Tech Business" - Vasilii Angapov](https://hackernoon.com/devops-engineers-boost-the-efficiency-and-profitability-of-high-tech-business-vasilii-angapov)
![](https://cdn.hackernoon.com/images/IymvKKTnYPZ9oRrN7IjNRPC4QKr1-29a3y80.jpeg)
DevOps guru Vasilii Angapov discusses enhancing tech business efficiency. With expertise in cloud tech, he underscores the value of lifelong learning in IT.

### [263. Thread Communication in Java using Lock and Condition; A Tutorial ](https://hackernoon.com/thread-communication-in-java-using-lock-and-condition-a-tutorial)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-1fa3ou1.jpeg)


### [264. Destination Heroku: Changing My Tech Stack](https://hackernoon.com/destination-heroku-changing-my-tech-stack-52493wn1)
![](https://images.unsplash.com/photo-1531976283823-ff4d70a477ab?ixlib=rb-1.2.1&q=80&fm=jpg&crop=entropy&cs=tinysrgb&w=1080&fit=max&ixid=eyJhcHBfaWQiOjEwMDk2Mn0)
In the "Moving Away From AWS and Onto Heroku" article, I provided an introduction of the application I wanted to migrate from Amazon's popular AWS solution to Heroku. While AWS is certainly meeting the needs of my customer (my mother-in-law), I am hoping for a solution that allows my limited time to be focused on providing business solutions instead of getting up to speed with DevOps processes.

### [265. A Better Implementation of Enhanced Repository Pattern in .NET C#](https://hackernoon.com/a-better-implementation-of-enhanced-repository-pattern-in-net-c)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-5w93qq6.jpeg)
Implement a better enhanced Repository Pattern in DotNet (.NET ) CSharp (C# ) following best practices Dependency Injection (DI) Inversion of Control (IoC)

### [266. How to Effectively Apply TDD in Enterprise Application Development](https://hackernoon.com/how-to-effectively-apply-tdd-in-enterprise-application-development)
![](https://cdn.hackernoon.com/images/jrL36De9COMj7uaDoJ1in7NRwOA2-qb93l1r.jpeg)
Methodology to enable fast development of robust enterprise applications applying Test-Driven Development (TDD) and Hexagonal Architecture.

### [267. Here's How I Moved From AWS To Heroku](https://hackernoon.com/heres-how-i-moved-from-aws-to-heroku-n86p3zvl)
![](https://cdn.hackernoon.com/images/2rnj3y7i.jpg)
In the fall of 2018, I decided it was time to put my application design and development knowledge to use in order to provide a modernized solution for my mother-in-law’s small business. 

### [268. DevOps vs SDLC: Optimizing the Software Development Cycle](https://hackernoon.com/devops-vs-sdlc-optimizing-the-software-development-cycle)
![](https://cdn.hackernoon.com/images/BjV1EHGAKkRon4HOuee3REIX49i2-j6b3os0.jpeg)
If you're using a traditional software development life cycle (SDLC) you may have questions about where DevOps fits in. 

### [269. Understanding Domain Driven Design (DDD)](https://hackernoon.com/understanding-domain-driven-design-ddd)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-yb93ppg.jpeg)
DDD is not about technology. Instead, it's about understanding the problem you’re trying to solve in a business context.

### [270. How to Leverage LLMs for Effective and Scalable Software Development](https://hackernoon.com/how-to-leverage-llms-for-effective-and-scalable-software-development)
![](https://cdn.hackernoon.com/images/2-robots-on-a-see-saw-g23userx0d1htalfgrr4b1d7.png)
The following are some key coding principles and development practices that can be applied to LLM-assisted software development

### [271. Financial Damage Caused by Software Bugs](https://hackernoon.com/financial-damage-caused-by-software-bugs-n41k35g6)
![](https://cdn.hackernoon.com/images/ftUCnMhOe2XTZI6pMhyPHKIZ3Ip1-6m5621sm.jpeg)
The damage caused by software bugs is undermined. Here's a look at the issue of technical debt caused by bugs, with example cases.

### [272. Native JSON Streaming in Symfony: How to Bypass Memory Limits and More](https://hackernoon.com/native-json-streaming-in-symfony-how-to-bypass-memory-limits-and-more)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-6383bs6.jpeg)
Handling massive JSON payloads no longer requires architectural gymnastics, batch processing scripts, or adding third-party dependencies to your composer.json.

### [273. Unpacking Cinnamon — A New Resiliency Approach at Uber](https://hackernoon.com/unpacking-cinnamon-a-new-resiliency-approach-at-uber)
![](https://cdn.hackernoon.com/images/h42pozfm4scRLxV00TWDEetyEPJ3-55c3s0g.jpeg)

Curious about Uber's new approach to scale resiliency in their microservices architecture? Stick with me for some ideas to enhance yours!

### [274. Write Symfony Commands Like You Write Controllers—Finally](https://hackernoon.com/write-symfony-commands-like-you-write-controllersfinally)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-lw03dom.jpeg)
Symfony 7.4 makes Console commands expressive and type-safe.

### [275. Micro-frontend Migration Journey - Part 1: Design](https://hackernoon.com/taking-a-journey-into-micro-frontend-migration-part-1-design)
![](https://cdn.hackernoon.com/images/zz3g1E514SPvE9SAaiBerWs9THs2-ya93xcf.jpeg)
Explore the journey of migrating from a monolithic architecture to a micro-frontend. Gain valuable insights and strategies for micro-frontend migration!

### [276. The Secret Guide To Choosing Between Monolith And Microservices ](https://hackernoon.com/the-secret-guide-to-choosing-between-monolith-and-microservices-4gx3tiw)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FMJpFVUEItkSdoh38rYo60VT7RfH3-x9z4xem.jpeg?alt=media&token=73fd1c50-a8bb-48fe-822a-aba1a33fcab1)
Monolith or microservices? Both architectures have pros and cons, and each particular case should be investigated. UppLabs had a project with a concrete goal — optimization of application performance by migration from a monolithic system to the new microservices’ infrastructure. We came up with a solution that we’re happy to share with you in detail.

### [277. The 8GB VRAM Image Model That Feels Instant: Meet FLUX.2 Klein 4B](https://hackernoon.com/the-8gb-vram-image-model-that-feels-instant-meet-flux2-klein-4b)
![](https://tjzk.replicate.delivery/models_models_featured_image/e32c60b0-a5e4-4846-b5e9-752df87ed6c5/replicate-klein-cover.jpg)
Meet FLUX.2 Klein 4B: a sub-second image generator and editor that runs on consumer GPUs.

### [278. 66 Stories To Learn About Software Design](https://hackernoon.com/66-stories-to-learn-about-software-design)
![](https://cdn.hackernoon.com/images/github/software-design-205.png)
Learn everything you need to know about Software Design via these 66 free HackerNoon stories.

### [279. The Cost of Using Open Source Software as a Developer: A Tech Lawyer's Perspective](https://hackernoon.com/the-cost-of-using-open-source-software-as-a-developer-a-tech-lawyers-perspective)
![](https://cdn.hackernoon.com/images/vFtavd329Idu4kMQWv0UubgTkSt1-qt93bj3.png)
The Price You Pay As A Developer For Using Open Source Software - A Tech Lawyers View

### [280. 10x Programmers: The True Way to Increase Software Engineering Productivity](https://hackernoon.com/10x-programmers-the-true-way-to-increase-software-engineering-productivity)
![](https://cdn.hackernoon.com/images/1y22to9sYcWwGb96WoaR1M5DauS2-gm93gkt.jpeg)
A 10x programmer is a software developer that outperforms the average programmer in terms of productivity by at least 10x. 

### [281. Top 7 Software Quality Engineering Trends to Attain Positive Business Outcomes in 2023 — Part 1](https://hackernoon.com/top-7-software-quality-engineering-trends-to-attain-positive-business-outcomes-in-2023-part-1)
![](https://cdn.hackernoon.com/images/NexxBo1gTUUt3hNSdYgaZSKNEzU2-tw93ooj.jpeg)
It’s time to know about vital QA trends helping organizations stay ahead of competitors, enhance operational efficiency, and improve end-user satisfaction.

### [282. 3 Things You Will Love About Micro Frontends](https://hackernoon.com/3-things-you-will-love-about-micro-frontends)
![](https://cdn.hackernoon.com/images/lmcwhIPXHyPIgqoOoDrA9xd8umf1-dyb3ok6.jpeg)
3 cool things that will make you love micro frontend architecture - flexibility in managing codebase, a wide choice of frameworks, and independent deployments.

### [283. Problem Solving in Software Development: Specialization Vs. Generalization](https://hackernoon.com/problem-solving-in-software-development-specialization-vs-generalization)
![](https://cdn.hackernoon.com/images/BXZKrZJ52TYblw95jd0y2qErCY13-eb0260u.jpeg)
What types of issues should you really spend your time on in software development - specialized or generalized? 

### [284. Why Boring Software Migration Projects Could Be Your Secret Weapon](https://hackernoon.com/why-boring-software-migration-projects-could-be-your-secret-weapon)
![](https://cdn.hackernoon.com/images/8kENfcn2gsOf7RRriudjWxNBIA62-26036px.jpeg)
Migration projects are inherently hard because they have to meet an existing bar on  customer experience.But they will provide several years worth of learning. 

### [285. 3 Great Tech Features of Node.js](https://hackernoon.com/3-great-tech-features-of-nodejs)
![](https://cdn.hackernoon.com/images/xWx1eln9Ida9r216TnPyHFrKw1J2-np93sh0.jpeg)
Want to know why Node.js suits data-intensive and real-time apps? Dive in to consider the runtime environment for the next software project!

### [286. When Driving Adoption for a Low-Code Platform, Does One Target Developers or No-Coders?](https://hackernoon.com/when-driving-adoption-for-a-low-code-platform-does-one-target-developers-or-no-coders)
![](https://cdn.hackernoon.com/images/5ZZ01s5G8fVi9qZZgKASB8y6gGt2-9a93qqg.jpeg)
Is the future of software development low-code? Or is it no code at all?

### [287. Building a Secure, Cost-Efficient Authentication System for Millions of Users](https://hackernoon.com/building-a-secure-cost-efficient-authentication-system-for-millions-of-users)
![](https://cdn.hackernoon.com/images/TRxJl07Fhpd0o4ajtmz2LeXBaCu1-1t13byx.png)
How a global ride-hailing app scaled authentication to 40 countries, cut costs by millions, and boosted login security.

### [288. 8 NO/LOW Code Tools Even Programmers Will Love](https://hackernoon.com/8-nolow-code-tools-even-programmers-will-love)
![](https://cdn.hackernoon.com/images/EQE4btnh5YZLc9ybRlVhg3Xthkk2-sz93rje.jpeg)
Hey, developers! I get a huge kick out of tools — so today I'm sharing the ones that have made my life easier and my work more efficient. 

### [289. 3 Architectural Design Patterns for Software Development](https://hackernoon.com/3-architectural-design-patterns-for-software-development)
![](https://cdn.hackernoon.com/images/B9T1IUJcMIUtnDyj3ZT2HrbhQmj1-we93p84.jpeg)
Learn about software architectural patterns and their benefits and drawbacks.An architectural pattern is a general, reusable solution to a commonly  problem

### [290. Why YAGNI matters in Software Development and Architecture](https://hackernoon.com/why-yagni-matters-in-software-development-and-architecture)
![](https://cdn.hackernoon.com/images/FofupIFGD3VoZ78iCSZoZSD15e63-6k22t0j.webp)
Adopting YAGNI in Software Development and Architecture

### [291. How I'm Building an AI for Analytics Service](https://hackernoon.com/how-im-building-an-ai-for-analytics-service)
![](https://cdn.hackernoon.com/images/bK6famsVejQnj0vqeEXJK8YRaZX2-srh30e7.jpeg)
In this article I want to share my experience with developing an AI service for a web analytics platform called Swetrix.

### [292. What Is the Difference Between Continuous Delivery and Continuous Deployment?](https://hackernoon.com/what-is-the-difference-between-continuous-delivery-and-continuous-deployment)
![](https://cdn.hackernoon.com/images/Ue2WsVZ3b5N6Mq5kzuAJ85bVGYD2-wl93o1q.jpeg)
Continuous Delivery and Continuous Deployment are two complementary practices that help teams get their software into the hands of users faster.

### [293. Why ENV Variables are no Good Anymore](https://hackernoon.com/why-env-variables-are-no-good-anymore)
![](https://cdn.hackernoon.com/images/MUo6MihNAVUIcUvRBbcToKZ7MKh1-44a3q2m.jpeg)
In this article, we’ll discuss the threats that using .env files poses for secret management while application development and uncover the ways to combat them.

### [294. Objects vs. Actors](https://hackernoon.com/objects-vs-actors-6l1g3ex4)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FMJpFVUEItkSdoh38rYo60VT7RfH3-bkl4xb3.jpeg?alt=media&token=12fca5c2-6391-43ca-8aae-200996c80dcf)
Readers are assumed to have at least a passing familiarity with an object-oriented language and an actor-oriented language (e.g. Erlang,
Pony). Note that objects and actors are orthogonal abstractions and
therefore a language may implement both – Pony is an example.
Language abstractions orthogonal to both objects and actors will not
be considered here, e.g. static vs. dynamic typing. Because Pony
mixes objects and actors, this paper will use Erlang as the prototype
for actors in order to draw a sharper contrast between objects and
actors. Further exposition of Pony will require its own paper.

### [295. Microservices and CQRS: Why Business Should Care](https://hackernoon.com/microservices-and-cqrs-why-business-should-care-et6g3ycb)
![](https://cdn.hackernoon.com/drafts/cdh3y0m.png)
We have created this blog post for business stakeholders managing the development of a software system or product, those looking to find ways to reduce cost and time to market. This post will be useful for those whose technical background is a bit outdated or isn’t sufficient to make that judgment call. We will look at how to approach architecture planning so that the product is scalable and the money is spent wisely. Also, we will show the example of how CQRS can help in the implementation of client applications and whether microservices is indeed the panacea.

### [296. Salesforce Functions for Caching Expensive Queries](https://hackernoon.com/salesforce-functions-for-caching-expensive-queries)
![](https://cdn.hackernoon.com/images/eQHzh6rz7ETBHLjs0KzCl1Dooqp2-rw93q9q.jpeg)
In this article, we will walk through the use of Salesforce Functions to cache expensive queries. 

### [297. An Introduction to Domain-Driven Design](https://hackernoon.com/domain-specific-programming-what-is-it-and-how-to-live-with-it-part-1)
![](https://cdn.hackernoon.com/images/WyL2V0Nj20amUlioe5bpd0cPHF92-3e137kd.jpeg)
Have you come across DDD (domain-driven design)? Domain-specific programming - what is it and how to live with it?

### [298. Designing an API Rate Limiter ](https://hackernoon.com/designing-an-api-rate-limiter)
![](https://cdn.hackernoon.com/images/OAWNH2u4oMfvIQnqBHkGhGDHPN72-1ga3l58.jpeg)
Distributed systems implement an API rate limiter for high availability and security.

### [299. Face the Facts: There is no Kubectl Restart Pod Command. Here's What You Can Try Instead](https://hackernoon.com/face-the-facts-there-is-no-kubectl-restart-pod-command-heres-what-you-can-try-instead)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-a592ci7.jpeg)
Many Kubernetes operators search for a command like “kubectl restart pod." Sadly, there is no such command in Kubernetes. But workarounds exist.

### [300. Python Interfaces: Abandon ABC and Switch to Protocols](https://hackernoon.com/python-interfaces-abandon-abc-and-switch-to-protocols)
![](https://cdn.hackernoon.com/images/TTXSsm8ACRUrHYRwy3IksZJUgDk1-a693lxi.jpeg)
Reasons to use Python Protocols instead of ABC library for Python interfaces.

### [301. The 5 Stages of LLM Systems: From Playground Hacks to Real Architecture](https://hackernoon.com/the-5-stages-of-llm-systems-from-playground-hacks-to-real-architecture)
![](https://cdn.hackernoon.com/images/KKgJo9L6i5hBlUxP8D37SD3t8tl2-we13cdt.jpeg)
Discover the LLM maturity model: from simple prompts to orchestrated systems. Why spaghetti flows fail - and how real architecture wins.

### [302. Application Testing In Go: Do It Right And Don't Create a Mess](https://hackernoon.com/application-testing-in-go-do-it-right-and-dont-create-a-mess-xwfc3y19)
![](https://cdn.hackernoon.com/drafts/spgx3yra.png)
Problem - How many times have we faced this problem of worrying about cleaning up after running test cases. When some of our test cases run, they might add data to our database or add files to our directory which we don’t want to worry about every time.

### [303. The "API First" Illusion: Why Your "Simple" Endpoints Turn Into Technical Debt (And How to Fix It)](https://hackernoon.com/the-api-first-illusion-why-your-simple-endpoints-turn-into-technical-debt-and-how-to-fix-it)
![](https://cdn.hackernoon.com/images/4QQhIuTcGWPBcSXw0KTQbpwavoG2-0r039k4.png)
Stop treating API design like a plumbing task. Use this system prompt to enforce Richardson Maturity Model Level 3 and build endpoints that actually scale.

### [304. Dictionaries in Python: What You Should Know](https://hackernoon.com/dictionaries-in-python-what-you-should-know)
![](https://cdn.hackernoon.com/images/e4cwcBBfPIYqCiH6kehr6SpkmAT2-uf93poh.jpeg)
Everything you have to know to safely Implement Dictionaries and Sets in Python.


### [305. Google Calendar’s Secret Engineering Weapon: Restraint](https://hackernoon.com/google-calendars-secret-engineering-weapon-restraint)
![](https://cdn.hackernoon.com/images/G5bBwLJImBOVigYEVxRwchJ9SBz1-rr03bh0.png)
Google Calendar is a simple CRUD calendar app with a powerful REST API. The client is a masterpiece of restraint, with a simple frontend framework. 

### [306. From Monoliths to Microservices: Migration in Practice](https://hackernoon.com/from-monoliths-to-microservices-migration-in-practice)
![](https://cdn.hackernoon.com/images/PVJZAra3SJb106HGMWMnMsiHUCk1-pb92d7s.jpeg)
This isn't another "break down the monolith" article. This post is about making the applicable decisions, measuring and verifying the results

### [307. Building a Data Warehouse for Traditional Industry: Hadoop is Overkill](https://hackernoon.com/building-a-data-warehouse-for-traditional-industry-hadoop-is-overkill)
![](https://cdn.hackernoon.com/images/sVs8ZGbVV9P8sBY1B5UnwwxICYn2-8ma2kvh.jpeg)
This is a part of the digital transformation of a real estate giant. 

### [308. The Limits of Spec-Driven Development](https://hackernoon.com/the-limits-of-spec-driven-development)
![](https://cdn.hackernoon.com/images/zBXxcwvoVaRtQU8HdKE4pejuUzW2-2b03hna.png)
Spec-Driven Development can't deliver the promise of production-ready code. Because it's expensive to maintain and doesn't have all context.

### [309. A Production Level Architecture for Android Apps [Part 1]](https://hackernoon.com/a-production-level-architecture-for-android-apps-part-1-5j2z3a11)
![](https://cdn.hackernoon.com/images/ja7sn3961.jpg)
Context

### [310. Understanding Database Plus Concepts and the Challenges It Can Solve](https://hackernoon.com/understanding-database-plus-concepts-and-the-challenges-it-can-solve)
![](https://cdn.hackernoon.com/images/4VS8OUqMU2OVjiLkl1gVM8UKbAv2-1w93oq4.jpeg)
Explaining the Database Plus concept, its impact on system architecture design, and its innovations  from Proxyless Service Mesh to microservice backend support

### [311. Actor Model For Object Oriented Programmers](https://hackernoon.com/actor-model-for-object-oriented-programmers)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-0n830z1.png)
Actor model introduction to object oriented programmers. Rethink your software development model with fault tolerant, concurrent and scalable by architecture. 

### [312. I Fell in Love With My Code, Then I Had to Kill It](https://hackernoon.com/i-fell-in-love-with-my-code-then-i-had-to-kill-it)
![](https://cdn.hackernoon.com/images/oUS9HxHnMOackh1UhEDoXjMokWv1-7z22qhg.png)
Sometimes the best code is the code you delete. Don't love your code and do what's best for the codebase.

### [313. MongoDB vs. DocumentDB: Which Is A Better Choice for You?](https://hackernoon.com/mongodb-vs-documentdb-which-is-right-for-you-dcr368i)
![](https://cdn.hackernoon.com/drafts/0312q3668.png)
Are you trying to decide if you should use MongoDB or DocumentDB? With the recent controversy surrounding licensing with MongoDB, it can be confusing to decide which option is right for your company or project. Amazon decided the core MongoDB code is challenging to scale while remaining highly available. Amazon wrote their implementation, which is compatible with the Apache 2.0 open source MongoDB 3.6 API. MongoDB, Inc. has also recently changed their license to make future imitations more difficult. To do this, they created an entirely new license called the Server Side Public License.

### [314. Using Rust For Monitoring 30k API Calls Per Minute](https://hackernoon.com/using-rust-for-monitoring-30k-api-calls-per-minute-ec193u37)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FMPW1SNFYvZT6pkCy8ULu38u2cht1-8z1p3u5m.jpeg?alt=media&token=4245c91b-4f78-4881-99d9-69ec4c94b3e3)
At Bearer, we are a polyglot engineering team. Both in spoken languages and programming languages. Our stack is made up of services written in Node.js, Ruby, Elixir, and a handful of others in addition to all the languages our agent library supports. Like most teams, we balance using the right tool for the job with using the right tool for the time. 

### [315. Regionalize APIs Like a Pro: Achieve Global Compliance and Scalability](https://hackernoon.com/regionalize-apis-like-a-pro-achieve-global-compliance-and-scalability)
![](https://cdn.hackernoon.com/images/wZD7pUgY3NTniseP9Mer59jXJL82-xj238v1.jpeg)
Learn how to master API regionalization with strategies for global compliance, low latency, and scalable cloud solutions. Achieve seamless performance worldwide

### [316. A Sustainable Code Review Process for Busy Teams (PERFECT)](https://hackernoon.com/a-sustainable-code-review-process-for-busy-teams-perfect)
![](https://cdn.hackernoon.com/images/Sdbrzz1XJ2QNnkhrhkRvzgk2deC3-ly2231a.png)
A clear, practical guide to code review: why it matters, the PERFECT principles, and how to build an effective review process.

### [317. 13 Questions and Answers for Google Cloud Reference Architectures](https://hackernoon.com/13-questions-and-answers-for-google-cloud-reference-architectures-dg7d3zo0)
![](https://cdn.hackernoon.com/images/lvji4zvd.gif)
Google Cloud is a cloud computing platform that can be used to build and deploy applications.  It allows you to take advantage of the flexibility of development while scaling the infrastructure as needed.

### [318. How Technological Approaches and Engineering Transform Construction and Architecture](https://hackernoon.com/how-technological-approaches-and-engineering-transform-construction-and-architecture)
![](https://cdn.hackernoon.com/images/Ea0oHjcqNPVIp6CabrAXJylVX8G3-to93ofy.jpeg)
Digitalization is one of the major things in today’s dynamic business environment. Most industries are adopting technology at a breakneck pace.

### [319. Optimizing Database Operations With OpenTelemetry ](https://hackernoon.com/optimizing-database-operations-with-opentelemetry)
![](https://cdn.hackernoon.com/images/ehWe6W1brvOg54RdOFs1MR4dMPF2-j193gmk.jpeg)
Learn to use OpenTelemetry to monitor and identify the database issues in your application and remediate them to optimise your database operations quickly.

### [320. How Observability and Monitoring Produces Better Software](https://hackernoon.com/how-observability-and-monitoring-produces-better-software)
![](https://cdn.hackernoon.com/images/da7H4NzOhAdhje46xkTgaLorF5m2-pp930hk.jpeg)
An article focused on deep diving into observability and its significance in software. Its history, goals, the importance of observability, and the issues that 

### [321. Choosing Between Enterprise Messaging and Event Streaming For Your Architecture](https://hackernoon.com/choosing-between-enterprise-messaging-and-event-streaming-for-your-architecture-br1e3178)
![](https://cdn.hackernoon.com/images/IV0JQLsMeUPtnTkzLruhJAkpC5F2-cu303119.jpeg)
Comparing Enterprise messaging and event streaming across different dimensions to see  how they excel at solving different but related messaging problems

### [322. The 1MB Challenge: Can You Build a Modern App with Zero Dependencies?](https://hackernoon.com/the-1mb-challenge-can-you-build-a-modern-app-with-zero-dependencies)
![](https://cdn.hackernoon.com/images/4C9XGbBXTfWCpZ7icj0NdFe3DYE2-jz8241u.jpeg)
Tired of massive node_modules? Learn how to build a modern, reactive SPA using zero dependencies with native Web Components, Proxies, and the History API.

### [323. Chat Is a Terrible Interface for Agents—and 2026 Will Prove It](https://hackernoon.com/chat-is-a-terrible-interface-for-agentsand-2026-will-prove-it)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-3j023i6.png)
Building AI Agents? I tried Angular, HTMX & Python. They failed. Discover why A2UI is the declarative protocol to replace basic chatbots.

### [324. Navigating the Age-Old Software Architecture Dilemma With NATS](https://hackernoon.com/navigating-the-age-old-software-architecture-dilemma-with-nats)
![](https://cdn.hackernoon.com/images/4KVcyNb7LINHvyfnYyiFg5shhzc2-g7d31pk.jpeg)
Exploring monolithic vs. microservice designs, the article unveils 'Flex Architecture'—melding cost-efficiency with scalability for future software needs.

### [325. To Log Or Not To Log, Is The (Eternal) Question](https://hackernoon.com/to-log-or-not-to-log-is-the-eternal-question-qj1k3xoy)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FhQBwqEo8ONbruArF3hRXLWVANjA3-zx3v39ez.webp?alt=media&token=ce13c2be-3db4-4ba4-b68b-dac9a15ae79f)
An alternative logging strategy to make loggers your friends, not enemies

### [326. Poor Network Conditions? No Problem! gRPC and WebRTC for Robots Can Help](https://hackernoon.com/poor-network-conditions-no-problem-grpc-and-webrtc-for-robots-can-help)
![](https://cdn.hackernoon.com/images/V756WvybKoYSAbWK7ImZyX0AkHw1-a5g32rv.webp)
Discover how Viam's open-source robotics software leverages gRPC and WebRTC for real-time robot control and machine communication. 

### [327. The Effect of Multiple Switching to and From Compose on Application Performance](https://hackernoon.com/the-effect-of-multiple-switching-to-and-from-compose-on-application-performance)
![](https://cdn.hackernoon.com/images/EeX35fKg9SMcjCyjLf6mn4qpi7X2-qab3j3o.jpeg)
In this article I want to evaluate the impact on performance of multiple switching from xml to compose and back.

### [328. Turn Any Image Into Anything (Fast): A Guide to PrunaAI’s z-image-turbo-img2img](https://hackernoon.com/turn-any-image-into-anything-fast-a-guide-to-prunaais-z-image-turbo-img2img)
![](https://replicate.delivery/xezq/cA5Tibf0XN0Dd6e9BKXtfa4YwLfaIDWM0fwBwWafURP3mvRdF/output_342060241_0.jpeg)
z-image-turbo-img2img makes image iteration fast: prompt an edit, tune strength, pick steps, set a seed, and export PNG/JPG/WebP.

### [329. Understanding L4 and L7 Load Balancers for Efficient Traffic Management](https://hackernoon.com/understanding-l4-and-l7-load-balancers-for-efficient-traffic-management)
![](https://cdn.hackernoon.com/images/sHlS9kz5JWgDC6Irc6Iw1ZTwUGE2-gwa32l6.jpeg)
Learn the differences between L4 and L7 Load Balancers, optimize traffic, secure apps, and enhance performance for efficient network management.

### [330. How to Migrate from Monolith to Microservices: Challenges and Best Practices](https://hackernoon.com/how-to-migrate-from-monolith-to-microservices-challenges-and-best-practices)
![](https://cdn.hackernoon.com/images/HxX5zpJrSjbKoBatGSx5asOP36H2-fl93vu8.jpeg)
Learn what to consider when moving from monolith to microservices, including data management, team organization, and infrastructure implementation. 

### [331. Cache: What It Is, and How to Overcome It As A Beginner Dev](https://hackernoon.com/cache-what-it-is-and-how-to-overcome-it-as-a-beginner-dev-fr4y3tri)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FbEQD24qLHgPFML0RCgzwiVvGwMM2-th7t3xb1.jpeg?alt=media&token=e18b37ec-90f2-407b-b33e-9928969cb2de)
Let me set the context with this quote

### [332. Beware the Real-Time Trap: Your Fresh Data Could Be Slowing Down Your Dashboards](https://hackernoon.com/beware-the-real-time-trap-your-fresh-data-could-be-slowing-down-your-dashboards)
![](https://cdn.hackernoon.com/images/tfe24J6CMKPLs2KUS0rMCBANAQf1-8a03dvf.png)
Stop chasing "speed" as a monolith. Data latency and query latency are fundamentally different problems. Optimizing for fresh data often degrades dashboard responsiveness, and vice versa. The real challenge isn't building the fastest system—it's aligning your architecture with actual business needs while managing exponential costs.

### [333. Industrial IoT and DevOps: How To Get Started](https://hackernoon.com/industrial-iot-and-devops-how-to-get-started-lf25345w)
![](https://cdn.hackernoon.com/images/miB88BPVahfVYAbDq8M1r2mExvn2-osm31t3.jpeg)
As the Industrial IoT segment is facing many challenges, DevOps for Industrial IoT is helping companies become more efficient. Here's how.


### [334. How to Find the Stinky Parts of Your Code [Part XIX]](https://hackernoon.com/how-to-find-the-stinky-parts-of-your-code-part-xix)
![](https://cdn.hackernoon.com/images/RIiBoPtpMiRsMKX3dnzl5gb1Urj1-mr93k72.jpeg)
New code smells arriving!

### [335. Benefits of Using WebAssembly for Your Applications](https://hackernoon.com/benefits-of-using-webassembly-for-your-applications)
![](https://cdn.hackernoon.com/images/bJmCjBFKDCdFyOp2WyArQwy7BiF3-c2a34cz.jpeg)
Learn the top advantages of using WebAssembly for your applications.

### [336. The Game AI Problem Computers Were Never Built to Solve](https://hackernoon.com/the-game-ai-problem-computers-were-never-built-to-solve)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-b2023yz.jpeg)
An explainer on why brute-force AI fails at grand strategy games, and how hybrid LLM architectures enable long-horizon strategic reasoning.

### [337. An Introduction to Firefox’s new Site Isolation Security Architecture](https://hackernoon.com/an-introduction-to-firefoxs-new-site-isolation-security-architecture)
![](https://cdn.hackernoon.com/images/PpYbbOApcoT249C1okeO6P5loPR2-th33k2i.jpeg)
Without Site Isolation, Firefox might load a malicious site in the same process as a site that is handling sensitive information.

### [338. Sending UDP Messages on Linux: What is the Condition to Packets Being Lost?](https://hackernoon.com/sending-udp-messages-on-linux-what-is-the-condition-to-packets-being-lost)
![](https://cdn.hackernoon.com/images/ARCWTrgYpoc531106B2eMedWoT42-gs93hr0.jpeg)
In developing the distributed software system it might be reasonable to use exchange data over the UDP protocol to minimize exchange time.

### [339. Code to an Interface: Everything You Need to Know](https://hackernoon.com/code-to-an-interface-everything-you-need-to-know)
![](https://cdn.hackernoon.com/images/yZi53v9tVybsXwdXldRGugWuUiE3-l382404.jpeg)
How often have you heard "Code to an interface"? I'm sure, at least a few times, and I know it can be hard to understand at first. So let's see what it means.

### [340. Bugsnag's Diagnostics Tools Benefits Eventbrite](https://hackernoon.com/bugsnags-diagnostics-tools-benefits-eventbrite)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-9x92bkj.jpeg)
As Eventbrite neared the release of their rewritten platform in React.js, they knew observability on the frontend was a problem they needed to solve.

### [341. Should i Build An Analyzer for C# or .NET?](https://hackernoon.com/should-i-build-an-analyzer-for-c-or-net-4f4c328x)
![](https://cdn.hackernoon.com/images/6j2p3zgt.jpg)
edit: Unlike the conclusion of the post below, I based the analyzer on C# CaaS and not .NET IL. Its now available to use https://devsnicket.com/eunice/#csharp. The latter doesn't preserve the order of members of a class either in the dll or pdb. Although, after looking at some open source C# projects, this capability wasn't used by default.

### [342. Spec-Driven Development: Why Writing the Manual Before Building the Machine Makes Sense](https://hackernoon.com/spec-driven-development-why-writing-the-manual-before-building-the-machine-makes-sense)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-46022sl.jpeg)
A good spec helps you understand the context of the system you're building.

### [343. Is Dry Code Still Relevant Today?](https://hackernoon.com/is-dry-code-still-relevant-today)
![](https://cdn.hackernoon.com/images/akEBIg10DrPMiavDpnZxfHb098y2-1x93pt6.jpeg)


### [344. Data Management and Consolidation in the Integration of Corporate Information Systems](https://hackernoon.com/data-management-and-consolidation-in-the-integration-of-corporate-information-systems)
![](https://cdn.hackernoon.com/images/nY4WXFXgxfVZOFZRtpUzFU9rv6g2-4qa3cp7.jpeg)
Explore ETL and Kafka Streams architecture for advanced data management and real-time processing and analytics in corporate systems.

### [345. Data-Driven Architecture: Patterns for Production](https://hackernoon.com/data-driven-architecture-patterns-for-production)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-o6824u8.jpeg)
What it is, why it scales—and how to run it in production with clear lineage and observability.

### [346. What is Code Refactoring? - Use Cases, Applications, and Benefits](https://hackernoon.com/what-is-code-refactoring-use-cases-applications-and-benefits-ji4533c2)
![](https://cdn.hackernoon.com/images/NYBPo1pUSlRjASBA5qBKX0J3gBO2-oeb3fw7.jpeg)
The importance of code refactoring is immeasurable since its purpose is to simplify the code for better performance. ⚡Use all the benefits now.

### [347. Symfony 8 on PHP 8.4: FrankenPHP vs RoadRunner Benchmarked](https://hackernoon.com/symfony-8-on-php-84-frankenphp-vs-roadrunner-benchmarked)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-em83cji.jpeg)
Discover which PHP runtime leads the pack in Symfony 8. Compare FrankenPHP and RoadRunner benchmarks to optimize your application’s performance.  

### [348. Fully Covering I/O File Based Applications in .NET C# Using Unit Tests](https://hackernoon.com/fully-covering-io-file-based-applications-in-net-c-using-unit-tests)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-eg93q44.jpeg)
How to achieve 100% coverage of I/O file based applications in DotNet (.NET) CSharp (C#) Test Driven Development (TDD) Development Software Best Practices

### [349. Choosing the Right Redis Library for Microservices: Go-Redis vs. RedisPipe](https://hackernoon.com/choosing-the-right-redis-library-for-microservices-go-redis-vs-redispipe)
![](https://cdn.hackernoon.com/images/illustrate-a-diagrammatic-representation-of-a-microservices-software-architecture-te-fpybotcmm8tikykamarhj285.png)
Explore the strengths and considerations of Go-Redis and RedisPipe, two popular Redis libraries for microservices.

### [350. Figuring Out When Not To Use DI, IoC, and IoC Containers in .NET C#](https://hackernoon.com/figuring-out-when-not-to-use-di-ioc-and-ioc-containers-in-net-c)
![](https://cdn.hackernoon.com/images/xRVOalNFPncXbrkPOPL6HNKgUvw1-8h93qpk.jpeg)
Learn the best practice on when to use Dependency Injection (DI), Inversion of Control (IoC) and IoC Containers. DotNet .NET CSharp C# Design Architecture

### [351. Modular Monoliths: The Future of Efficient Software Architecture in Fintech Payment Systems](https://hackernoon.com/modular-monoliths-the-future-of-efficient-software-architecture-in-fintech-payment-systems)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-lu83zf3.png)
Explore the pros and cons of monolithic, microservices, and modular monolith architectures in software development to make informed decisions for your projects.

### [352. Microservices vs. Monolithic Architecture](https://hackernoon.com/microservices-vs-monolithic-architecture)
![](https://cdn.hackernoon.com/images/dtsFKqwL3KZ43BFFEoYwTdyns4r1-4z337v2.jpeg)
The concept of microservices, an approach to designing a software application as a set of small services, has been around since at least 2015.Delivering benefits such as the independent deployability and scalability of components, microservices are all the rage today. This is because these microservices benefits translate into incredibly faster software development speeds. With consumers being quick to change their preferences and behaviors, microservices adopters are able to keep up. Life is now great, they say.As much as 56% of companies participating in a recent IMB survey plan to adopt a microservices approach in the next 24 months. Almost 80% of current users say their business will likely step up investment in microservices.Microservices advantages have prompted Netflix, Amazon, eBay, Twitter, and many other tech giants to migrate from monolithic to microservices architecture.But should your company use microservices?It depends on the context and if microservices pros outweigh the cons for your application.This blog provides an overview of a microservices vs. monolithic approach and five key benefits of using a microservices architecture. It also shares some of ITRex’s microservices experience and offers tips on when business should (not) use microservices. Dive in.

### [353. Hype Driven Development: A Case For Punishing This Abomination](https://hackernoon.com/hype-driven-development-a-case-for-punishing-this-abomination-ks333z29)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FDBmwq0SteFQHHX3MAHWlSX4NC1X2-zzf321j.jpeg?alt=media&token=7c231b84-3ef3-45ac-9741-95a501a9a81f)
Disclaimer: long read. About the painful stuff, what I want to share for more than a month. Also does not claim to be complete, it is more about how I try to deal with it. 

### [354. How I Deployed My Own Lil' Private Internet (a.k.a. VPC)](https://hackernoon.com/how-i-deployed-my-own-lil-private-internet-aka-vpc)
![](https://cdn.hackernoon.com/images/cmnTEZUbXRUusNv7GD8Q0C1Kgzb2-zw83syg.png)
This post covers what I've learned about Akamai's VPC, how I deployed one with Terraform, and why it's good for security.


### [355. A Beginner's Guide to IServiceCollection in C#](https://hackernoon.com/a-beginners-guide-to-iservicecollection-in-c)
![](https://cdn.hackernoon.com/images/FA4UT4FgGUfOjEjkcSYA2tYPEyG2-aq834sd.jpeg)
Learn about IServiceCollection in C# and dependency injection. See how Dependency Inversion, Single Responsibility, and Open/Closed Principles fit together!

### [356. Quantum Computing Needs More Software Engineers](https://hackernoon.com/quantum-computing-needs-more-software-engineers)
![](https://cdn.hackernoon.com/images/CKaVHZqE7ZR84bJkMLuXNRhCEdB2-9b83etd.jpeg)
Explore the software stack in Quantum Computing, from high-level programming languages down to the hardware systems (and... start your quantum career).

### [357. The Goals of Software Design ](https://hackernoon.com/the-goals-of-software-design)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-3e93o8q.jpeg)
A misguided software design can hurt both the business and the technology. It is therefore vital to understand an organizations goals and optimize accordingly. 

### [358. NVIDIA’s Nemotron-3 Super 120B FP8 Targets Agentic Workflows at Scale](https://hackernoon.com/nvidias-nemotron-3-super-120b-fp8-targets-agentic-workflows-at-scale)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-9x0246k.jpeg)
NVIDIA Nemotron-3 Super 120B FP8 combines MoE, Mamba-2, and tool use for long-context reasoning, automation, and high-volume AI workloads.

### [359. How to Build a Hybrid Passkey Strategy in Symfony 7.4: Navigating Beyond the Passwordless Fortress](https://hackernoon.com/how-to-build-a-hybrid-passkey-strategy-in-symfony-74-navigating-beyond-the-passwordless-fortress)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-r283eoc.jpeg)
Master Symfony 7.4 auth! Build a Smart Unified Login flow that seamlessly blends traditional passwords with modern Passkeys for a frictionless UX

### [360. How I Created My Own Telegram Bot - Pt. 1](https://hackernoon.com/how-i-created-my-own-telegram-bot-pt-1)
![](https://cdn.hackernoon.com/images/C6BDdo0xaFcPBRk1mqlMRJFj4Ug2-yt83aje.jpeg)
how I built a powerful Telegram bot and API library using NestJS.

### [361. Habits to Improve Engineering Team Efficiency (Part 1): Design Documents](https://hackernoon.com/habits-to-improve-engineering-team-efficiency-part-1-design-documents)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-3502yex.jpeg)
A design document is a shared file among engineers that describes a feature to be implemented. 

### [362. How to Use Components in Playwright](https://hackernoon.com/how-to-use-components-in-playwright)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-vt92iaq.jpeg)
Today I'll speak about a beta feature in Playwright: Components.

### [363. Senior Engineers Know the Hardest Part Isn’t Coding](https://hackernoon.com/senior-engineers-know-the-hardest-part-isnt-coding)
![](https://substackcdn.com/image/fetch/$s_!bczD!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9742e34b-9170-4421-a373-ce9c8377b5a4_1024x608.png)
The most expensive code I ever wrote solved the wrong problem perfectly. 

### [364. The One Tool You Absolutely Need to Efficiently Scale Retrieval-Augmented Generation](https://hackernoon.com/the-one-tool-you-absolutely-need-to-efficiently-scale-retrieval-augmented-generation)
![](https://cdn.hackernoon.com/images/3msc2eMd3GQDyk2Wgg5I2BP5BHb2-wj024l3.jpeg)
Achieve efficiency and reliability in your GenAI RAG workflows with KubeMQ for seamless message handling and FalkorDB for fast, scalable data storage/retrieval.

### [365. AI at Scale: Cloud or Bare Metal](https://hackernoon.com/ai-at-scale-cloud-or-bare-metal)
![](https://cdn.hackernoon.com/images/lDyCMCsyg4bxRB0xC7XR8vYAbso2-9bc2kpl.jpeg)
Big Data processing, BI analysis and AI involve heavy usage of ML, including neural networks. How to scale a Kubernets cluster with AI-heavy workload?

### [366. How to Use the Iterator Pattern in C#](https://hackernoon.com/how-to-use-the-iterator-pattern-in-c-f2j3635)
![](https://cdn.hackernoon.com/images/0Pc2dcjd4hh3TXkrjgio5gRxVFu2-v36e35qs.jpeg)
According to Gang of Four, the iterator pattern provides a process to obtain the aggregator object without knowing its implementation.

### [367. 3 Software Development Principles I Wish I Knew Earlier in my Career](https://hackernoon.com/3-software-development-principles-i-wish-i-knew-earlier-in-my-career)
![](https://cdn.hackernoon.com/images/vcD13i99K4XmTIiC7XSvgIe6kfp1-9m233gu.png)
Many software development principles are worth exploring and applying. However, I found 3 of them to be extremely helpful and powerful throughout my career.

### [368. Solar Architecture:  A New Perspective on Enterprise Software Development](https://hackernoon.com/solar-architecture-a-new-perspective-on-enterprise-software-development-5o5m32rc)
![](https://images.unsplash.com/photo-1506703719100-a0f3a48c0f86?ixlib=rb-1.2.1&q=80&fm=jpg&crop=entropy&cs=tinysrgb&w=1080&fit=max&ixid=eyJhcHBfaWQiOjEwMDk2Mn0)
The development life cycles of applications in an enterprise environment often follow a common theme. An application begins life with a clear purpose in mind and over time has requirements brought in that cause incremental additions to the scope of the original concept. These additions could either be completely in sync with the original concept or perhaps the requirement just had no better home to belong in. As the application matures to an end-of-life state it has now grown far past its original intended purpose and is in dire need of a refactor — breaking down the monolithic beast into smaller and more succinct components.

### [369. How to Become a Software Architect: Keith Casey™️ on His Career Learnings at Twilio, Okta and Beyond](https://hackernoon.com/how-to-become-a-software-architect-keith-caseytm-on-his-career-learnings-at-twilio-okta-and-beyond)
![](https://cdn.hackernoon.com/images/N0ENUd29UdNJCFcl7GnmZHdk2fA2-d2039ph.jpeg)
Software architects are really the linchpin for creating exceptional, world-changing software—and having the wrong person in that seat can be disastrous.

### [370. A Senior Engineer’s Guide to Scalable & Reliable System Design](https://hackernoon.com/a-senior-engineers-guide-to-scalable-and-reliable-system-design)
![](https://cdn.hackernoon.com/images/system-design-vdmuv8bxtso89p4cy35h3q07.png)


### [371. Launching Docker Desktop with Spring Boot](https://hackernoon.com/launching-docker-desktop-with-spring-boot)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-4092bk6.jpeg)
Explanation and Example of a Real-World Spring Boot and Docker Desktop based Deployment. Code Samples are provided Inline and via Git Repo.

### [372. Building Software Using the Software Development Lifecycle](https://hackernoon.com/building-software-using-the-software-development-lifecycle)
![](https://cdn.hackernoon.com/images/8ZtrelZljMZcuVax2JHFBBLgfvJ3-hr93o2n.jpeg)
Software development is the process computer programmers use to write programs. The procedure also referred to as the Software Development Life Cycle (SDLC), 

### [373. AI for Enterprise:  A Practitioner's Guide](https://hackernoon.com/ai-for-enterprise-a-practitioners-guide)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-sx824iu.jpeg)
Most enterprise problems are still best solved with good engineering and automation. 

### [374. Building a Production-Ready Multi-Agent FinOps System with FastAPI, LLMs, and React](https://hackernoon.com/building-a-production-ready-multi-agent-finops-system-with-fastapi-llms-and-react)
![](https://cdn.hackernoon.com/images/a-sleek-futuristic-factory-uwrlkafxsmda6w531xw4dcje.png)
What teams need is not another dashboard.
They need an intelligent control plane. This is implementation-focused. Minimal theory. Real architecture.

### [375. Network Security vs. Cybersecurity: What's the Difference?](https://hackernoon.com/network-security-vs-cybersecurity-whats-the-difference)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-c592b7r.jpeg)
While network security is a separate and important subset, cybersecurity covers a broader whole in terms of security. 

### [376. An Introduction to Web Stacks](https://hackernoon.com/an-introduction-to-web-stacks-9x243z8g)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FV8rHe34LNFY72hur3KxuNqnmW3D3-357i279v.jpeg?alt=media&token=869bb898-a469-44f4-b5d9-49ad34211d21)
Having recently worked with young web developers who were exposed for the first time to proper production infrastructure, I received many questions about the various components that one can find in the architecture of a "Web service". These questions clearly expressed the 
confusion (and sometimes the frustration) of developers who understand 
how to create endpoints in a high-level language such as Node.js or Python, but were never introduced to the complexity of what happens 
between the user's browser and their framework of choice. Most of the 
time they don't know why the framework itself is there in the first place.

### [377. Microservice Architecture in Application Development: Advantages and Disadvantages](https://hackernoon.com/microservice-architecture-in-application-development-advantages-and-disadvantages)
![](https://cdn.hackernoon.com/images/Lg3GSwToPlQKlwwujXA8JQtg9cm1-yu93ns8.jpeg)
Microservice architecture is the optimal approach to software development. 

### [378. Keyword-First Search Can’t Scale to AI. Here’s What Replaces It.](https://hackernoon.com/keyword-first-search-cant-scale-to-ai-heres-what-replaces-it)
![](https://cdn.hackernoon.com/images/mpDOI8AQeYeu5cc9VGleWjM9xvB2-up0370f.png)
Algolia & Elasticsearch added vector search, but hybrid retrieval is harder than it looks. Where keyword-first architecture breaks and what actually works.

### [379. Microservices? Why Not!](https://hackernoon.com/microservices-why-not)
![](https://cdn.hackernoon.com/images/1jP4AN8YLrbDBYfB3aT5eoM6KS02-r9d31db.jpeg)
The cost of microservices from a developer's perspective.

### [380. I Built an AI That Autonomously Penetration Tests a Target, Then Writes Its Own SIEM Defense Rules](https://hackernoon.com/i-built-an-ai-that-autonomously-penetration-tests-a-target-then-writes-its-own-siem-defense-rules)
![](https://cdn.hackernoon.com/images/RvBNiV6VQaTRf3RpoEmAVP5gYJA2-tj83e6y.png)
VANGUARD is an open-source AI agent that autonomously pen-tests targets, explains its reasoning in real-time, and writes its own SIEM detection rules. 

### [381. Understanding Application Architecture that Scales](https://hackernoon.com/understanding-application-architecture-that-scales)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-ln93pti.jpeg)
This article makes a fundamental analysis of the applications development life-cycle, identifies the main contradiction, and suggests a solution. 

### [382. Scaling Your Compute Resources on Salesforce](https://hackernoon.com/scaling-your-compute-resources-on-salesforce)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-e492c0l.jpeg)
How might Salesforce developers build apps that execute long-running commands which can scale with user growth while not impacting performance?

### [383. Symfony 7.4’s Share Directory Solves the Cache Problem for Kubernetes Apps](https://hackernoon.com/symfony-74s-share-directory-solves-the-cache-problem-for-kubernetes-apps)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-nm03dds.jpeg)
Symfony 7.4 introduces var/share to separate local system cache from shared application data—solving cache inconsistency in Kubernetes without the NFS hit.

### [384. Trends We Are Watching: API Democratization and API Management](https://hackernoon.com/trends-we-are-watching-api-democratization-and-api-management)
![](https://cdn.hackernoon.com/images/ZXvwWhuaiAY0BoWkm8U7fJ1XTLI2-yl93ruw.jpeg)
If you’re a developer of any type of modern application, then you’re likely more than just familiar with APIs—you’re probably a power user.

### [385. Hope Is Not a Strategy in Fintech](https://hackernoon.com/hope-is-not-a-strategy-in-fintech)
![](https://substackcdn.com/image/fetch/$s_!g0ic!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0a0dbbed-f90a-4ba0-bd4a-6b139f505186_1024x1024.png)
The shift from mid-level to senior engineering thinking happens when you stop asking “will this work?”

### [386. How Finite State Machines Made My RTS Game Smarter — and My Code Cleaner](https://hackernoon.com/how-finite-state-machines-made-my-rts-game-smarter-and-my-code-cleaner)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-ob022ih.jpeg)
Real-time strategy (RTS) games often need predictable yet flexible patterns.

### [387. Our SaaS Contract Renewal Came In 18% Higher.
We Paid It. Then We Built the Exit Plan.](https://hackernoon.com/our-saas-contract-renewal-came-in-18percent-higher-we-paid-it-then-we-built-the-exit-plan)
![](https://cdn.hackernoon.com/images/q45GRmhBZNQ6cMCcRPEgHIU1o762-gc23emt.png)
An 18% SaaS renewal forced an honest reckoning: vendors know your switching cost better than you do. Here's the math, the exit, and the lessons.

### [388. Difference Between Inheritance And Composition](https://hackernoon.com/difference-between-inheritance-and-composition-cc1h3wnl)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FMJpFVUEItkSdoh38rYo60VT7RfH3-mr1b287b.jpeg?alt=media&token=9fff512e-4d76-4a8c-9bce-b8794b645a59)
With the introduction of OOPs, Inheritance and Composition entered our senses and still confusing us.

### [389. The Moment Your LLM Stops Being an API—and Starts Being Infrastructure](https://hackernoon.com/the-moment-your-llm-stops-being-an-apiand-starts-being-infrastructure)
![](https://cdn.hackernoon.com/images/1clJ8yJ939UWqmKEv2D02kTjKmF2-k863rta.png)
AI gateways explained: why direct LLM API calls fail in production, how gateways handle cost, reliability, and observability, and when teams actually need one.

### [390. Policy-Driven AI: Designing Configuration-Driven Model Selection for Enterprise Systems](https://hackernoon.com/policy-driven-ai-designing-configuration-driven-model-selection-for-enterprise-systems)
![](https://cdn.hackernoon.com/images/ai-systems-abstract-yv7yomyl51h4ausmxi87tylq.png)
Hardcoding AI model calls is the new technical debt. This article walks through how to architect a configuration-driven model selection layer

### [391. Mastering Strategic Integration of Corporate Information Systems ](https://hackernoon.com/mastering-strategic-integration-of-corporate-information-systems)
![](https://cdn.hackernoon.com/images/nY4WXFXgxfVZOFZRtpUzFU9rv6g2-51d3861.jpeg)
Explore corporate information system integration, its strategic tasks, and challenges. Learn about EDA, ESB, ETL, security, software architecture, and more.

### [392. The No-Code Movement - A Developer's Perspective](https://hackernoon.com/the-no-code-movement-a-developers-perspective)
![](https://cdn.hackernoon.com/images/rTGkuSmEEIdJxS4Bj7H8MUxQhOg2-uz93rb1.jpeg)
Explore the 'No-Code' movement from a developer's perspective. Discover how embracing these tools can enhance software development speed and efficiency.

### [393. How to Build a Status Monitoring Service in Go](https://hackernoon.com/how-to-build-a-status-monitoring-service-in-go)
![](https://cdn.hackernoon.com/images/MildjKUxEYMxiz4D3zS1sb2wm2C3-wi03f81.png)
Build a Go-based monitoring app that probes services, opens/closes incidents, sends Teams/Slack alerts, and exports Prometheus metrics in Docker.

### [394. Have We Reached the Age of Modularity Maturity?](https://hackernoon.com/have-we-reached-the-age-of-modularity-maturity)
![](https://cdn.hackernoon.com/images/ySK5UmEKUigi6gZlUx5UYDhUNhk1-d392952.jpeg)
while microservices come with their perks, the cons are so huge sometimes that they offset the pros. There are more manageable ways to achieve the same result.

### [395. The Most Ruthless System Architect You’ll Ever Hire is an LLM](https://hackernoon.com/the-most-ruthless-system-architect-youll-ever-hire-is-an-llm)
![](https://cdn.hackernoon.com/images/sinW25rWovdN38P2ArzdPSCP3hi1-rr036me.jpeg)
This article proposes a mindset shift in using LLMs: instead of using them to generate code, use them to aggressively critique and "break" architectural designs

### [396. A New Frontend Hack Is Changing API Performance For the Better](https://hackernoon.com/a-new-frontend-hack-is-changing-api-performance-for-the-better)
![](https://cdn.hackernoon.com/images/EUbQBEJ3uVcGvWy8vGTiMhE1pfl2-rr031yq.png)
Valet key pattern, CQRS and search databases

### [397. Why Pure Data Mesh Breaks at Enterprise Scale (And What Works Instead)](https://hackernoon.com/why-pure-data-mesh-breaks-at-enterprise-scale-and-what-works-instead)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-ip02389.jpeg)
Data Mesh promises to eliminate centralized bottlenecks through decentralization, but pure implementations often stall in mature enterprises burdened by legacy.

### [398. Templating in Software Development: Taking a Deeper Look](https://hackernoon.com/templating-in-software-development-taking-a-deeper-look)
![](https://cdn.hackernoon.com/images/bK6famsVejQnj0vqeEXJK8YRaZX2-v892t1q.png)
Explore how templating in software development can streamline your projects.

### [399. Software Architecture Decisions: Focus on the Facts and Don't Make Guesses](https://hackernoon.com/software-architecture-decisions-focus-on-the-facts-and-dont-make-guesses)
![](https://cdn.hackernoon.com/images/rTGkuSmEEIdJxS4Bj7H8MUxQhOg2-u493uhr.jpeg)
Unlock the power of data in software architecture. Embrace YAGNI, prioritize users' needs, and make informed, value-driven decisions. No guesswork, just facts.

### [400. The Art of the Prompt: Engineering GenAI to Produce SOLID-Compliant Code](https://hackernoon.com/the-art-of-the-prompt-engineering-genai-to-produce-solid-compliant-code)
![](https://cdn.hackernoon.com/images/sinW25rWovdN38P2ArzdPSCP3hi1-x50360f.jpeg)
Generative AI writes code that works, but not code that lasts. Prompting with SOLID principles turns it from junior coder to senior architect.

### [401. How to Master Concurrency: Best Practices for Symfony 7.4's Lock Component ](https://hackernoon.com/how-to-master-concurrency-best-practices-for-symfony-74s-lock-component)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-l203cmx.jpeg)
Master the Symfony 7.4 Lock Component. Prevent race conditions with verified best practices, custom Attributes, and Redis/DynamoDB integration guide.

### [402. Instant Gratification Layers Are the Future, Not Blockchains - BOG#003](https://hackernoon.com/instant-gratification-layers-are-the-future-not-blockchains-bog003)
![](https://cdn.hackernoon.com/images/9vtRqXPYjXc1LRCXVTELc59Myu63-7fd3nd8.jpeg)
Scaling blockchain by adding, not removing.

### [403. Nobody Serious Uses One AI Coding Model Anymore](https://hackernoon.com/nobody-serious-uses-one-ai-coding-model-anymore)
![](https://blog.deeflect.com/medium-img/06-coding-stack.jpg)
A practical look at multi-model AI coding, from Grok and Claude to Codex and Gemini, and why one model is no longer enough.

### [404. A Comprehensive Guide to Apache Cassandra Architecture](https://hackernoon.com/a-comprehensive-guide-to-apache-cassandra-architecture-owhb3yyj)
![](https://cdn.hackernoon.com/drafts/or383ybn.png)
Introduction

### [405. Bugsnag Beginners' Series: Part 1 - Error Inbox](https://hackernoon.com/bugsnag-beginners-series-part-1-error-inbox)
![](https://cdn.hackernoon.com/images/G7JOCMInhTbqoh3WpBaCwVWcsc22-mj93o4l.jpeg)
Bugsnag Beginners Series is a five-part series focusing on concepts and features in Bugsnag that are fundamental to any user’s experience. 

### [406. How to Deploy a Kotlin App to Heroku ](https://hackernoon.com/how-to-deploy-a-kotlin-app-to-heroku)
![](https://cdn.hackernoon.com/images/ZXvwWhuaiAY0BoWkm8U7fJ1XTLI2-0y036by.jpeg)
In the last 10 years, more and more languages that run on the JVM have been developed but they look and feel nothing like Java. One such language is Kotlin.

### [407. How To Use The Flexibility Of Nginx To Make Your Apps More Powerful](https://hackernoon.com/how-to-use-the-flexibility-of-nginx-to-make-your-apps-more-powerful-vek3wku)
![](https://firebasestorage.googleapis.com/v0/b/hackernoon-app.appspot.com/o/images%2FMJpFVUEItkSdoh38rYo60VT7RfH3-zh3328kw.jpeg?alt=media&token=17101228-4748-434e-b563-3e81872ba459)
Open-source application diversity is both the biggest boon in the Free and Open-Source Software (FOSS) movement, and its greatest hindrance to adoption. You don’t always own the application you're consuming, and it often comes with certain opinions and limitations imposed by the software author—either intentionally or otherwise.

### [408. How to Use OpenTelemetry to Identify Database Dependencies](https://hackernoon.com/how-to-use-opentelemetry-to-identify-database-dependencies)
![](https://cdn.hackernoon.com/images/ehWe6W1brvOg54RdOFs1MR4dMPF2-dw93h32.jpeg)
Tired of debugging your application to find out its database dependencies? There is a smarter way to track them with OpenTelemetry.

### [409. How to Avoid Inconsistency Across Microservices](https://hackernoon.com/how-to-avoid-inconsistency-across-microservices)
![](https://cdn.hackernoon.com/images/hoI4S7KpadhuZX1xs9IUD2zWQ113-2j94k5d.jpeg)
In a microservice architecture, you can get dependencies that impose restrictions on the services used

### [410. Why Observability Needs an AI On-Call Engineer](https://hackernoon.com/why-observability-needs-an-ai-on-call-engineer)
![](https://cdn.hackernoon.com/images/tOnW1tifodbz2qt89xKj4ShidTo1-jh93e72.png)
Modern observability detects failures but cannot explain them. Why incident response needs an AI on-call engineer to identify root causes faster.g

### [411. From Cost Center to Growth Engine: Architecting Internal API Platforms for Strategic Advantage](https://hackernoon.com/from-cost-center-to-growth-engine-architecting-internal-api-platforms-for-strategic-advantage)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-yq022ai.jpeg)
Internal API platforms are becoming the operating system for modern enterprises. Learn how API strategy turns engineering into a growth engine.

### [412. Transforming Legacy with Domain-Driven Design, II: Strategy](https://hackernoon.com/transforming-legacy-with-domain-driven-design-ii-strategy)
![](https://cdn.hackernoon.com/images/3L1CP4liRQQ55QjQn3vJVyA00H52-i243d6k.jpeg)
Domain-Driven Design is not a specific software architecture or a strict set of rules but rather a collection of principles and ideas to manage complex domains.

### [413. Viva la Revolution Part 1: Future Proofing Digital Infrastructure with Applied Category Theory](https://hackernoon.com/viva-la-revolution-part-1-future-proofing-digital-infrastructure-with-applied-category-theory)
![](https://cdn.hackernoon.com/images/RHANbxrXjsYoxIMTyKJFleCFJyC3-ng93uuy.jpeg)
Applied Category Theory (ACT) requires seamless integration into languages developers commonly use in domains like cybersecurity, SRE, and green technology.

### [414. Lambda Architecture: A Comprehensive Introduction and Breakdown](https://hackernoon.com/lambda-architecture-a-comprehensive-introduction-and-breakdown-1l5133yd)
![](https://cdn.hackernoon.com/images/MJpFVUEItkSdoh38rYo60VT7RfH3-w0i28xu.jpeg)
Big data is on the rise, and data systems are tasked with handling it. But this begs the question: Are these systems up for the task?

### [415. Data Privacy: Why The Existing Architecture is in Dire Need of Evolution](https://hackernoon.com/data-privacy-why-the-existing-architecture-is-in-dire-need-of-evolution-or-part-1-2713n2h99)
![](https://cdn.hackernoon.com/drafts/ok13k2hhy.png)
Data is to the 21st century what oil was for the 20th century. The importance of data in the 21st century is conspicuous. Data is behind the exponential growth witnessed in the digital age. Increased access to data, through the internet and other technologies, has made the world a global village.

### [416. How Bugsnag Helped 99designs Standardize Debugging and Create Efficiencies](https://hackernoon.com/how-bugsnag-helped-99designs-standardize-debugging-and-create-efficiencies)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-s492bpe.jpeg)
99designs’ engineering team now uses Bugsnag to troubleshoot errors in more than 25 projects, written in multiple coding languages.

### [417. I Built the Same Data Pipeline 4 Ways. Here's What I'd Never Do Again.](https://hackernoon.com/i-built-the-same-data-pipeline-4-ways-heres-what-id-never-do-again)
![](https://cdn.hackernoon.com/images/nZUOsUekMgduRcTLAVIl3En9Zs23-5q83ejh.gif.webp)
I built one pipeline four times. The winner wasn’t the fastest tool; it was the one that failed loudly, stayed debuggable, and didn’t punish ops.

### [418. Senior Engineers Should Teach, Not Just Code](https://hackernoon.com/senior-engineers-should-teach-not-just-code)
![](https://substackcdn.com/image/fetch/$s_!Cl0L!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76290efe-4ee3-414c-9b96-68f5cdd2c0ea_1024x608.png)
Senior engineers need to learn how to multiply their impact through others. 

### [419. Concurrency management in DDD](https://hackernoon.com/concurrency-management-in-ddd)
![](https://cdn.hackernoon.com/images/3L1CP4liRQQ55QjQn3vJVyA00H52-n363ess.jpeg)
Explore how Domain-Driven Design tackles concurrency issues in complex legacy systems, based on real-world experiences and practical insights.

### [420. Exploring the Benefits of Unit Testing](https://hackernoon.com/exploring-the-benefits-of-unit-testing)
![](https://cdn.hackernoon.com/images/cPKBkmirofPe9l3sgbPBAqdKwGF3-2693l3r.jpeg)
In this article, I’ll walk through what I see as the main benefits of unit tests for developers working alone and in teams.

### [421. NVIDIA Nemotron-3 Super 120B Targets Agentic AI at Scale](https://hackernoon.com/nvidia-nemotron-3-super-120b-targets-agentic-ai-at-scale)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-gy023tw.jpeg)
NVIDIA Nemotron-3 Super 120B is a reasoning-focused LLM built for agentic workflows, tool use, and long-context enterprise AI tasks.

### [422. Defect Localization: The Art of Traversing the Labyrinth](https://hackernoon.com/its-not-you-a-big-chunk-of-being-a-quality-assurance-is-defect-localization)
![](https://cdn.hackernoon.com/images/q3YCEH66fkhIRoxjKxDDARoxEsw1-zn0367n.png)
Without proper localization, a defect can become a hot potato tossed between frontend, backend, and any development team. 

### [423. A Beginner's Guide to the CQRS Pattern in C# and Clean Architecture](https://hackernoon.com/a-beginners-guide-to-the-cqrs-pattern-in-c-and-clean-architecture)
![](https://cdn.hackernoon.com/images/FA4UT4FgGUfOjEjkcSYA2tYPEyG2-a0835nu.jpeg)
Discover how implementing the CQRS pattern in C# with Clean Architecture can revolutionize your software development process. 


### [424. Tips for Developers to Survive API-First](https://hackernoon.com/5-tips-for-building-api-first-software)
![](https://cdn.hackernoon.com/images/22P9gUNORgNxx8DJYjvM6aN81Fk1-k122g3w.jpeg)
The world of API-First has swept developer marketing by storm. Learn some tips to get a grip on this trend and avoid being blindsided!

### [425. An Intro to QAOps in Continuous Delivery Systems](https://hackernoon.com/an-intro-to-qaops-in-continuous-delivery-systems)
![](https://cdn.hackernoon.com/images/FtAKnbEBeGRzh957W48fET1OZHC2-ila3kz7.jpeg)
In the common paradigm, dedicated QA teams solely focus on product quality. QAOps enables an efficient quality assurance process.

### [426. Here's How You Can Build a FinTech Approval System With Symfony 7.4](https://hackernoon.com/heres-how-you-can-build-a-fintech-approval-system-with-symfony-74)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-dp03bdl.jpeg)
In this article, we will build a robust Multi-Signature Approval System for a FinTech application.

### [427. The Missing Layer in AI Reliability: Replayable Requests](https://hackernoon.com/the-missing-layer-in-ai-reliability-replayable-requests)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-vv824vx.jpeg)
Much of the discussion around responsible AI focuses on ethics, governance, and policy. But responsible AI requires something deeply technical: reproducibility.

### [428. The Data Stack’s Next Form Factor: Multi-Agent Systems](https://hackernoon.com/the-data-stacks-next-form-factor-multi-agent-systems)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-c30230g.png)
Move beyond data monoliths with Da2a, an open-source agentic data platform using the A2A protocol for decentralized analytics. 

### [429. Docker Basics to Get Your Feet Wet](https://hackernoon.com/docker-basics-to-get-your-feet-wet)
![](https://cdn.hackernoon.com/images/MUo6MihNAVUIcUvRBbcToKZ7MKh1-qp93r5h.jpeg)
In this article, we will be discussing the most important elements and tools around the Docker ecosystem when getting started as a beginner.

### [430. Your LLM Stack Is Not Ready for Production—Here’s What You’re Missing](https://hackernoon.com/your-llm-stack-is-not-ready-for-productionheres-what-youre-missing)
![](https://cdn.hackernoon.com/images/NnO2WTNqJeZdKiFNk3994TJufF92-9z539j8.png)
LLM architecture is redefining software engineering—learn how uncertainty, modularity, and adaptive workflows are shaping the new AI-driven delivery landscape.

### [431. Symfony 7.4’s Request Cleanup Closes a Classic Parameter Pollution Trap](https://hackernoon.com/symfony-74s-request-cleanup-closes-a-classic-parameter-pollution-trap)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-8003dye.jpeg)
Symfony 7.4 deprecates Request::get() to remove ambiguous input precedence and reduce HTTP parameter pollution risks ahead of Symfony 8.

### [432. An In-Depth Look at Shopify Plus: The Last E-Commerce Monolith](https://hackernoon.com/an-in-depth-look-at-shopify-plus-the-last-e-commerce-monolith-ru2f37wa)
![](https://cdn.hackernoon.com/images/luNcoaJnkJhoplfHFMeY40nJYoJ3-ju19369e.jpeg)
Platforms like Shopify Plus offer headless capabilities, but the real magic is in modular commerce technology. 

### [433. Here's How You Can Train Any Agent Just by Talking: OpenClaw-RL Guide](https://hackernoon.com/heres-how-you-can-train-any-agent-just-by-talking-openclaw-rl-guide)
![](https://cdn.hackernoon.com/images/a-human-talking-to-a-small-robot-sketch-color-d6mu3vdpo6c13fcfto70idpi.png)
This is a Plain English Papers summary of a research paper called OpenClaw-RL: Train Any Agent Simply by Talking

### [434. Preventing LLM Hallucinations in High-Stakes Banking Operations](https://hackernoon.com/preventing-llm-hallucinations-in-high-stakes-banking-operations)
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RAG improves LLM context. It doesn't guarantee correct reasoning over that context. For CCAR and BCBS 239 environments, that gap needs an architectural answer.

### [435. Your Architecture Cheat Sheet to API Design Styles](https://hackernoon.com/your-architecture-cheat-sheet-to-api-design-styles)
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Architecture Cheet Sheet – API Design Styles. REST, gRPC, GraphQL, Event Driven Architecture.

### [436. An Introductory Guide to Monolith Software Applications](https://hackernoon.com/an-introductory-guide-to-monolith-software-applications)
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Monolithic architecture in software development. Discover the world of n-layered patterns and what they involve.

### [437. 9 Questions To Ask Before Settling on an Outsourced Software Development Team](https://hackernoon.com/9-questions-to-ask-before-settling-on-an-outsourced-software-development-team)
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We live in a time when there are numerous options for outsourcing your development work. But how do you pick an outsourced development team?

### [438. Symfony 7.4: How to Master Multi-Step Forms](https://hackernoon.com/symfony-74-how-to-master-multi-step-forms)
![](https://cdn.hackernoon.com/images/pL08BO3ouKNkhrqPjjNqbI6Myh73-pk03d7r.jpeg)
In this article, we are going to build a production-ready User Onboarding Wizard using Symfony 7.4.

### [439. The Complete Guide to Migrating From UIKit to SwiftUI in Large Production Apps](https://hackernoon.com/the-complete-guide-to-migrating-from-uikit-to-swiftui-in-large-production-apps)
![](https://cdn.hackernoon.com/images/bGyqDcobpERFXKWs0AIhTuelhzY2-7p83d16.png)
Migrating large production iOS apps from UIKit to SwiftUI requires a phased approach to avoid regressions in performance, reliability, and user experience

### [440. System Design in the Age of AI: What Still Requires Human Judgment](https://hackernoon.com/system-design-in-the-age-of-ai-what-still-requires-human-judgment)
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AI is a powerful accelerator for writing code and optimizing queries, but it lacks the contextual understanding to make high-stakes architectural trade-offs.

### [441. Building Robust Front-End Interfaces with State Machines in React](https://hackernoon.com/building-robust-front-end-interfaces-with-state-machines-in-react)
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Discover the power of state machines in React for building intuitive wizard interfaces. Learn how to design, implement, and adapt complex user flows with ease.

### [442. Implementing Event-Driven Systems With AWS Lambda and DynamoDB Streams](https://hackernoon.com/implementing-event-driven-systems-with-aws-lambda-and-dynamodb-streams)
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Build scalable, event-driven apps with AWS Lambda and DynamoDB Streams. Includes step-by-step LocalStack setup for local development and testing.

### [443. Is it Enough to Define IMyInterface<T>? Do I Need IMyInterface as Well?](https://hackernoon.com/is-it-enough-to-define-imyinterfacelesstgreater-do-i-need-imyinterface-as-well)
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Best Practice for designing Interfaces in DotNet (.NET) CSharp (C#). When to define a non-generic interface in addition to the generic interface.

### [444. Your AI Agent Is Too Slow—Here’s How to Fix It](https://hackernoon.com/your-ai-agent-is-too-slowheres-how-to-fix-it)
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Build a resilient AI agent with Symfony Messenger and Redis. Learn async workflows to boost performance, scalability, and fault tolerance.

### [445. Funding Is Load: Why AI Startups Destabilize 30 Days After a Raise](https://hackernoon.com/funding-is-load-why-ai-startups-destabilize-30-days-after-a-raise)
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Why AI startups destabilize 30 days after a raise. Capital scales complexity before architecture is hardened, and drift begins.

### [446. Infrastructure as Code – Whose Responsibility Is It?](https://hackernoon.com/infrastructure-as-code---whose-responsibility-is-it)
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In my experience, the development of microservice architecture and infrastructure go hand in hand. It's hard to imagine these tasks handled by separate teams.

### [447. Streamlining Python Interfaces: Tips for Concise and Clean Code](https://hackernoon.com/streamlining-python-interfaces-tips-for-concise-and-clean-code)
![](https://cdn.hackernoon.com/images/5wpKgV75aONqkTJlafw2yQmK9yd2-hs93oet.jpeg)


### [448. “Perfect” AI Code Won’t Fix Your Legacy Stack](https://hackernoon.com/perfect-ai-code-wont-fix-your-legacy-stack)
![](https://cdn.hackernoon.com/images/pQVq0y7J0tbAAm0KgsfHr9hbG3B2-vb83ccx.png)
AI can generate code fast, but it won’t fix legacy systems. The real productivity gains come from maintenance, iteration, and engineering discipline.

### [449. The Math Trick That Lets Deep Networks Get Smarter Without Falling Apart](https://hackernoon.com/the-math-trick-that-lets-deep-networks-get-smarter-without-falling-apart)
![](https://cdn.hackernoon.com/images/2jqChkrv03exBUgkLrDzIbfM99q2-xu023zy.jpeg)
This is a Plain English Papers summary of a research paper called mHC: Manifold-Constrained Hyper-Connections [https://www.aimodels.fyi/papers/arxiv/mhc-manifold-constrained-hyper-connections?utm_source=hackernoon&utm_medium=referral]. If you like these kinds of analysis, join AIModels.fyi [https://www.aimodels.fyi/?utm_source=hackernoon&utm_medium=referral] or follow us on Twitter [https://x.com/aimodelsfyi].


THE HIDDEN GENIUS BEHIND RESIDUAL CONNECTIONS

Residual connections changed deep learning fundamentally. The idea is simple: instead of each layer processing information fresh, you add the original input back to the output. So y equals f(x) plus x. This seemingly small change unlocked the ability to train networks with hundreds of layers without everything falling apart during training.

The reason this works comes down to gradient flow. When you train a neural network, you calculate gradients that tell you how to adjust each parameter. In deep networks without residual connections, these gradients either vanish to nothing or explode to infinity as they propagate backward through many layers. The identity mapping created by the residual connection gives gradients a direct highway to travel back through the network unchanged. Early layers still receive meaningful learning signals even in very deep networks.

This property made residual connections so fundamental that every major architecture built in the last decade relies on them, from Transformers to modern language models. What started as an architectural trick became a foundational principle.


WHY WIDER CONNECTIONS SEEMED LIKE AN EASY WIN

Researchers naturally asked: if one residual bypass works well, what if you created multiple bypasses with different paths? This is the idea behind Hyper-Connections, which expand the residual stream width and diversify connectivity patterns. Instead of a single connection between layers, you'd have richer networks of information flowing in parallel. The intuition seemed sound, and early work showed real performance improvements.

But this expansion came with a hidden cost. When you add multiple pathways and widen the connection space, you fundamentally change how the connections work. The function combining those paths no longer preserves the identity mapping property. You've gained architectural complexity but lost the mathematical guarantee that made residual connections stable in the first place.

This loss of the identity mapping created two serious problems. First, training became unstable. Gradients behaved erratically during backpropagation, making it difficult to scale these networks to realistic sizes. Second, moving data through those wider connections consumed substantial memory, creating computational overhead that eroded the practical benefits. The performance gains came at a cost that grew with scale.

Related work on Hyper-Connections [https://aimodels.fyi/papers/arxiv/hyper-connections?utm_source=hackernoon&utm_medium=referral] and Fractional extensions [https://aimodels.fyi/papers/arxiv/frac-connections-fractional-extension-hyper-connections?utm_source=hackernoon&utm_medium=referral] had explored these wider connection patterns, but neither addressed the fundamental flaw: the loss of the stability property that makes residual connections work.


THE MATHEMATICAL CONSTRAINT THAT FIXES EVERYTHING

This is where the paper reveals its core insight. You don't have to choose between architectural complexity and training stability. Instead, you constrain where that complexity lives.

Think of a sphere. You can move in many directions on its surface, but you're always constrained to the spherical structure itself. You haven't lost freedom, you've shaped it. The paper applies this same logic to neural network connections: allow rich, diverse hyper-connections, but only if they live on a specific manifold, a lower-dimensional mathematical surface embedded in the high-dimensional connection space.

The key is that this manifold constraint preserves the identity mapping property locally. Even though the connections are wider and more complex, the way they combine respects the fundamental principle that makes residual connections work. The hyper-connections get projected onto a manifold that includes the identity function itself. This isn't a compromise that trades away performance. It's a structural constraint that allows you to have both complexity and stability.

The mathematical elegance matters because it resolves the tension completely. You get the stability of the original residual connection design with the performance potential of the wider architecture. Training behaves properly because gradients flow through paths that respect the identity mapping property. The manifold acts as guardrails, keeping you in a learnable zone while still exploring the expanded architectural space.


MAKING IT ACTUALLY EFFICIENT

Mathematics that doesn't run efficiently is rarely useful. The paper doesn't stop at theory, it includes infrastructure optimizations that exploit the manifold structure to reduce memory overhead and computational cost.

Adding mathematical structure to a problem often enables more efficient computation. The manifold constraint provides this structure naturally. Instead of shuffling data through arbitrarily wide connections, the manifold structure allows more efficient implementations. The result is both better performance and better efficiency, which rarely coexist without engineering compromise.

This matters because it separates mHC from purely theoretical contributions. The constraint isn't a beautiful idea that only works on toy problems. It's something you could actually use when training real models with billions of parameters. The optimization work shows that the theoretical insight translates into practical advantage.


TESTING AT REAL SCALE

The paper's claims need evidence. Do the theoretical benefits actually materialize when training realistic models? The experiments test three specific questions: Does mHC maintain the performance improvements of Hyper-Connections while fixing the training instability? Does it actually scale to large models without the memory and computational overhead that plagued standard HC? How does it compare to both baseline residual connections and the wider hyper-connections it improves upon?

The experimental results show that mHC handles the complexity trade-off gracefully. Performance doesn't drop compared to HC, meaning you're not sacrificing the gains that motivated hyper-connections in the first place. Training curves show substantially smoother learning dynamics without the instability that made HC difficult to scale. Scalability improves genuinely, allowing larger models to train with the same computational resources.

These results matter because they validate the entire contribution. If mHC worked only on small networks or toy problems, it would be academically interesting but practically limited. The fact that it works at real scale demonstrates that the theoretical insight translates into something useful for the architectures that power modern AI.


WHAT THIS MEANS FOR BUILDING BETTER MODELS

The paper solves a specific technical problem, but the implications extend further. It reveals something important about how neural network architectures actually work. Residual connections succeeded not because they're the only way to build networks, but because they preserve a specific mathematical property while adding functionality. When you try to extend that design, you risk losing that property unless you're strategic about it.

This points toward a broader principle in topological architecture design, the study of how information flows through network structure. Rather than simply trying new architectures and seeing what works, you can understand the underlying principles that make architectures successful, then innovate within constraints that preserve those principles. It's the difference between trial and error and principled design.

The work on deep manifolds [https://aimodels.fyi/papers/arxiv/deep-manifold-part-2-neural-network-mathematics?utm_source=hackernoon&utm_medium=referral] and network mathematics suggests this approach scales to other architectural decisions. The lesson applies broadly: preservation and innovation coexist if you find the right constraints.

For foundational models, the giant networks that power modern AI systems, this matters deeply. These models are built on architectural principles refined over years of research. If you understand how to innovate responsibly, preserving the properties that make things work while adding new capability, you can guide the evolution of these models more effectively. You move from architecture as empirical craft toward architecture as principled design, where changes are motivated by understanding rather than just intuition.

The paper's real contribution isn't any single technical detail. It's the recognition that you don't need to choose between preserving a foundational principle and innovating beyond it. You can do both when you find the right mathematical structure. That insight will likely shape how future architectures develop.

----------------------------------------

Original post: Read on AIModels.fyi [https://www.aimodels.fyi/papers/arxiv/mhc-manifold-constrained-hyper-connections?utm_source=hackernoon&utm_medium=referral]

### [450. Utilizing Microservices on AWS: Moving Away from Monoliths](https://hackernoon.com/utilizing-microservices-on-aws-moving-away-from-monoliths)
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99% of the times you don't need microservices. For when you do, understand what they are, why use them, and how to split a monolith on AWS.

### [451. How to Build Cloud-Based Data Architectures](https://hackernoon.com/how-to-build-cloud-based-data-architectures)
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Building Cloud-Based Data Architectures is necessary to making use of Big Data and gaining the ability to process significant amounts of data for analysis.

### [452. Notifications That Don’t Suck: React Inbox and React Toast Components](https://hackernoon.com/notifications-that-dont-suck-react-inbox-and-react-toast-components)
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We are excited to announce the availability of Courier’s newest provider, Courier Push! We have released Inbox and Toast; two open-source React components

### [453. Mastering CORS in .NET: 10 Expert Tips for Secure API Configuration](https://hackernoon.com/mastering-cors-in-net-10-expert-tips-for-secure-api-configuration)
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Cross-Origin Resource Sharing (CORS) is a process which protects your APIs from defined domains, method types or headers. The CORS headers define which domains 

### [454. Introducing DILOS Principles for JavaScript Code](https://hackernoon.com/introducing-dilos-principles-for-javascript-code-jp1d3w1b)
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The SOLID principles have been created as pillars of creating flexible, understandable and maintainable code. They can add days onto your dev time to implement them properly, and most people don't care or worry much about code quality, so I created some better ones.

### [455. Symfony: What You Need to Know About Passkey Management and Account Recovery](https://hackernoon.com/symfony-what-you-need-to-know-about-passkey-management-and-account-recovery)
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Secure your Symfony 7.4 passwordless app against lost devices. Learn to build a passkey management dashboard and generate offline recovery codes.

### [456. Event Sourcing: It's Easy If You Do It Smart](https://hackernoon.com/event-sourcing-its-easy-if-you-do-it-smart-72d3w02)
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When and why you should not use event sourcing

### [457. The State Machine That Saved a National Payment System (and What I Learned Building It)](https://hackernoon.com/the-state-machine-that-saved-a-national-payment-system-and-what-i-learned-building-it)
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How we serialized a Spring State Machine to Postgres and restored it on a standby replica to keep a national Instant Payment System running through node failure

### [458. Why Enterprise Development Feels Like Herding Cats… on Fire… in Space](https://hackernoon.com/why-enterprise-development-feels-like-herding-cats-on-fire-in-space)
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Enterprise dev isn’t just coding—it’s chaos management at scale. From legacy integration nightmares to security battles, here’s how to survive (and thrive).

### [459. Microsoft Azure Certifications: What is the difference between AZ-303 and AZ-304?](https://hackernoon.com/microsoft-azure-certifications-what-is-the-difference-between-az-303-and-az-304)
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Cloud computing has become one of the most important features of the modern IT industry. Every client needs to have their application highly scalable.

### [460. Microservices and the Golden age of Infrastructure Automation Tools](https://hackernoon.com/microservices-and-the-golden-age-of-infrastructure-automation-tools)
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The dramatic shift in infrastructure availability is one of the main catalysts for the advent of microservices.

### [461. 4 Certifications to Help You Become an Enterprise Architect](https://hackernoon.com/4-certifications-to-help-you-become-an-enterprise-architect)
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It can be hard to secure an enterprise architect role. Here are some certificates to help you make a good impression.

### [462. The Architect’s Manifesto: A 4-Month Retrospective on "Coding Blind"](https://hackernoon.com/the-architects-manifesto-a-4-month-retrospective-on-coding-blind)
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AI coding isn’t about typing faster. It’s about shifting from syntax to system design—and why architects, not typists, will win in 2026.

### [463. It’s Time to Reinvent the Audio File: Introducing Bitwave](https://hackernoon.com/its-time-to-reinvent-the-audio-file-introducing-bitwave)
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Bitwave is a new open-source audio format built with Rust & Python. It embeds spatial data & BPM for immersive, adaptive experiences in VR and gaming.

### [464. Deepfakes: Thy Expiration Date is Nigh](https://hackernoon.com/deepfakes-thy-expiration-date-is-nigh-pj3s33n4)
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Predictions that deepfake videos will keep getting better are not matched by the realities of the technology. Here's a sober look at the problems.

### [465. 5 Main Things That Will Help You Understand Why Technology Is Important In Business](https://hackernoon.com/5-main-things-that-will-help-you-understand-why-technology-is-important-in-business-xij31sy)
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Technology in business is a phenomenon that is taking over the world. Business is certainly not going anywhere anytime soon; technology is the only way to go. Business needs to have the right tools in place to compete in a competitive corporate environment.

### [466. 10 Techniques in Symfony That Will Help You Secure Like a Pro](https://hackernoon.com/10-techniques-in-symfony-that-will-help-you-secure-like-a-pro)
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Master Symfony 7.4 Security with 10 advanced patterns. Implement Magic Links, custom Voters, and API Tokens using production-ready code.

### [467. Stop Blindly Building AI Swarms: The New "Scaling Laws" for Agents Are Here](https://hackernoon.com/stop-blindly-building-ai-swarms-the-new-scaling-laws-for-agents-are-here)
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Researchers at MIT, Google, and others have released the first-ever 'Scaling Laws for AI Agents' 

### [468. Infrastructure Driven Development - Shifting Cloud Complexity Left](https://hackernoon.com/infrastructure-driven-development-shifting-cloud-complexity-left)
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Discovering the need to shift cloud complexity to the left in development and learn the strategic advantage in Infrastructure Driven development

### [469. How to Stop Making Singletons in Swift: A Dependency Injection Guide](https://hackernoon.com/how-to-stop-making-singletons-in-swift-a-dependency-injection-guide)
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Transition from singletons to dependency injection in a SwiftUI app with minimal effort.

### [470. How to Structure Dagger Components For Scale and Maintainability](https://hackernoon.com/how-to-structure-dagger-components-so-your-build-system-doesnt-hate-you)
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An architecture for Dagger that scales well to large codebases. Provided as a series of simple rules that humans and agents can follow (with examples).

### [471. Why the “Junior Ghost Town” Could Be Tech’s Biggest Long-Term Risk](https://hackernoon.com/why-the-junior-ghost-town-could-be-techs-biggest-long-term-risk)
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AI can compress weeks of coding into hours—but only if humans stay in control. Why architecture, intuition, and mentorship matter more than ever.

### [472. Save Yourself the Headaches and Document Agreements the Right Way](https://hackernoon.com/save-yourself-the-headaches-and-document-agreements-the-right-way)
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Agreements are an essential part of software development. They lower development costs and make developers' lives easier. But there is a problem..

### [473. Reflection-Driven Development in Pure C: Eliminating Boilerplate at Scale](https://hackernoon.com/reflection-driven-development-in-pure-c-eliminating-boilerplate-at-scale)
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Automate your pure C game engine with Reflection Driven Development. Learn how to build a custom libclang parser to generate ECS and serialization code.

### [474. Top 5 Tips for Securing Your GitOps Environments](https://hackernoon.com/top-5-tips-for-securing-your-gitops-environments)
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Here are the top 5 Tips for securing GitOps environments.

### [475. Software Security Primer](https://hackernoon.com/software-security-primer-sku3wl9)
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### [488. The Physics Simulation Problem That More Compute Can’t Fix](https://hackernoon.com/the-physics-simulation-problem-that-more-compute-cant-fix)
![](https://arxiv.org/html/2411.07576v1/extracted/5993849/Figure/teaser_v2.jpg)
This is a Plain English Papers summary of a research paper called Multiscale Corrections by Continuous Super-Resolution [https://www.aimodels.fyi/papers/arxiv/multiscale-corrections-by-continuous-super-resolution?utm_source=hackernoon&utm_medium=referral]. If you like these kinds of analysis, join AIModels.fyi [https://www.aimodels.fyi/?utm_source=hackernoon&utm_medium=referral] or follow us on Twitter [https://x.com/aimodelsfyi].


THE CURSE OF RESOLUTION IN PHYSICS SIMULATIONS

Imagine watching water flow through sand at two different zoom levels. At low zoom, you see the overall current pushing through the domain. At high zoom, individual sand grains create turbulence and complex flow patterns that wouldn't be visible from far away. To capture both, you need the high-zoom video, which takes forever to compute. Yet you can't simply use the low-zoom version because those tiny grain-scale interactions fundamentally change how the bulk flow behaves.

This is the core tension in finite element methods, the standard tool scientists use to approximate solutions to the differential equations governing physical systems. In these methods, computational cost scales brutally with resolution. Double your resolution in two dimensions and you create 16 times more elements. In three dimensions, that's 64 times more. This isn't a problem you solve by throwing more compute at it indefinitely. High-resolution simulations are accurate but prohibitively expensive. Coarse simulations are fast but miss crucial small-scale details that ripple through the big picture.

The multiscale structures in physics aren't incidental; they're fundamental. Small-scale heterogeneity in materials, turbulent fluctuations in fluids, grain-boundary effects in crystals, all these phenomena affect macroscopic behavior in ways that can't simply be averaged away. Yet capturing them requires the computational horsepower of a high-resolution simulation, creating a genuine impasse between speed and accuracy.


WHY TRADITIONAL MULTISCALE METHODS DON'T QUITE SOLVE IT

Researchers have known for decades that you need something smarter than brute-force high-resolution simulation. The traditional approach looks like dividing a puzzle into pieces. You solve the problem at a coarse scale, figure out how that coarse solution influences the fine scale, then solve the fine-scale problem in each region, coupling the results back together. Mathematically, this works. Computationally, it's more involved than it sounds.

Methods like homogenization and multiscale finite element methods are mathematically rigorous and can provide guarantees about their approximations. But they require solving auxiliary problems, like the "cell problems" in homogenization theory, to understand how fine scales feed back into coarse scales. For complex materials or irregular geometries, these auxiliary problems can be nearly as expensive as the original simulation. You're trading one hard problem for several smaller hard problems, which is an improvement but not revolutionary.

The core limitation is that multiscale methods still require explicit computation of fine-scale corrections. You don't truly escape the resolution curse; you just distribute the work differently. For time-dependent problems or when you need to run many similar simulations, this overhead becomes prohibitive.


SUPER-RESOLUTION AS LEARNED MULTISCALE CORRECTION

What if you bypassed mathematical derivation entirely and instead let a neural network learn the relationship between coarse and fine scales from examples? You run many simulations at both coarse and fine resolution, showing the network thousands of pairs, and ask it to learn the underlying pattern. Then, for new problems, you run only the cheap coarse simulation and let the network fill in the fine details.

This reframes the multiscale problem fundamentally. Instead of asking "how do I mathematically derive the fine-scale correction from the coarse solution," you ask "what statistical relationship exists between coarse-resolution snapshots of physics and fine-resolution snapshots?" Train a network to learn that relationship, and it becomes a reusable tool.

The brilliant insight is that you don't need to hand-derive the multiscale coupling. You're leveraging an assumption about the physical world: that small-scale structures follow patterns that are learnable and repeatable across different scenarios. If those patterns truly reflect the underlying physics, the network should generalize beyond its training distribution. It should work on upsampling factors it never saw, on material properties it never explicitly trained on.

Continuous super-resolution bridges coarse and fine scales. The orange region shows in-distribution scenarios (upsampling factors up to 16x), while the blue region shows out-of-distribution tests where the method extrapolates to 32x and beyond. [https://arxiv.org/html/2411.07576/teaser_v2.jpg] [https://arxiv.org/html/2411.07576/teaser_v2.jpg]
Continuous super-resolution bridges coarse and fine scales. The orange region shows in-distribution scenarios (upsampling factors up to 16x), while the blue region shows out-of-distribution tests where the method extrapolates to 32x and beyond.

This is where the paper departs from typical deep learning applications. It's not just applying image super-resolution to scientific data. It's asking whether neural networks can learn and extrapolate the structure of multiscale physics.


THE ARCHITECTURE: LOCAL IMPLICIT TRANSFORMERS LEARN ACROSS SCALES

Building a network that handles both coarse context and fine reconstruction simultaneously requires solving a specific technical challenge. How do you make a neural network that respects multiscale structure, preserves both large-scale features and fine details, and works at arbitrary query locations, not just fixed grid points?

The answer involves two key components working in concert. First, local implicit neural representations (LIIF) treat space as continuous rather than discrete. Instead of the network learning a grid of pixel values, it learns a continuous function that can predict the field value at any spatial coordinate, like x=0.1234, y=0.5678. The coarse module processes the coarse finite element solution and extracts features. The fine module takes those features plus a query coordinate and outputs the fine-resolution prediction at that specific location.

Second, a transformer architecture handles the multiscale learning. Transformers excel at learning long-range dependencies and attention patterns, which maps directly to the physics: the fine-scale behavior at one location depends on coarse features potentially across a large region. The transformer learns which parts of the coarse domain matter for predicting details at any given location.

The architecture processes coarse finite element data through feature extraction, then uses a local implicit function in the transformer to predict fine-scale corrections at arbitrary spatial coordinates. [https://arxiv.org/html/2411.07576/network_v2.jpg] [https://arxiv.org/html/2411.07576/network_v2.jpg]
The architecture processes coarse finite element data through feature extraction, then uses a local implicit function in the transformer to predict fine-scale corrections at arbitrary spatial coordinates.

The elegance of this design is that it separates the two jobs cleanly. The coarse module sees the big picture. The fine module handles spatial interpolation and detail generation. The transformer connects them by learning which coarse features to attend to for each fine-scale prediction.


THE FREQUENCY PROBLEM: WHY GABOR WAVELETS FIX NEURAL NETWORK BLINDNESS

Here's a subtle but critical problem that most practitioners would miss. Neural networks are biased learners. When you show them spatial data and ask them to predict values, they naturally learn smooth, low-frequency features first. Their internal "perception" gravitates toward blurry versions of the input. For multiscale corrections, this is backwards. You desperately need the network to pay serious attention to high-frequency details that create the fine structure.

This isn't a failure of the network; it's a feature of how they learn. Low-frequency functions are often the "easy" solution that reduces loss quickly and smoothly. Standard positional encodings help somewhat, but the paper proposes something more targeted: Gabor wavelets as coordinate encodings.

Gabor functions are sinusoidal waves modulated by a Gaussian envelope, and they're particularly good at capturing localized frequency structure. By encoding the spatial coordinates using Gabor wavelets instead of simple sinusoids, the network gets a built-in curriculum that encourages it to respect fine-scale structure from the start. It's like giving the network glasses that make high-frequency details visually prominent.

The impact is visible in frequency-space analysis. Using radial power spectral density (RAPSD), you can decompose how much energy the predicted field contains at each frequency scale.

Frequency analysis via radial power spectral density (RAPSD) shows that the proposed method preserves high-frequency content that simpler approaches lose, matching the ground truth spectrum more closely. [https://arxiv.org/html/2411.07576/rapsd_compare.jpg] [https://arxiv.org/html/2411.07576/rapsd_compare.jpg]
Frequency analysis via radial power spectral density (RAPSD) shows that the proposed method preserves high-frequency content that simpler approaches lose, matching the ground truth spectrum more closely.

The proposed method maintains the correct frequency spectrum. Competitors without this frequency-aware encoding produce outputs that are systematically too smooth, missing the sharp transitions and fine textures that characterize physical fields.


COMPARING PATCHES INSTEAD OF PIXELS: STOCHASTIC COSINE SIMILARITY

If you want a neural network to produce physically realistic fine details, you can't just compare its prediction to ground truth pixel-by-pixel. A pixel-level loss function like mean squared error will push the network toward a blurry average of many possible fine structures, which looks wrong to human eyes and doesn't capture the structural patterns of real physical fields. The paper recognizes that "perception is often preferred over distortion," meaning scientists care whether the fine-scale pattern looks and behaves like real physics, not just whether numbers match exactly.

The solution is stochastic cosine similarity (SCS), which compares local regions (patches) rather than individual points. Instead of asking "does prediction[pixel i] match ground_truth[pixel i]?", it asks "does the pattern of features in prediction[region j] match the pattern in ground_truth[region j]?" Cosine similarity measures how aligned two vectors are in direction, ignoring their magnitude. This encourages the network to get the structure right even if it's shifted slightly or scaled differently. Stochastic means you sample random patches during training, giving the network diverse supervision across the domain.

Training curves show that incorporating stochastic cosine similarity loss improves convergence and final reconstruction quality compared to standard pixel-level losses. [https://arxiv.org/html/2411.07576/loss_curve.jpg] [https://arxiv.org/html/2411.07576/loss_curve.jpg]
Training curves show that incorporating stochastic cosine similarity loss improves convergence and final reconstruction quality compared to standard pixel-level losses.

This is a subtle but important detail that bridges the gap between mathematical accuracy and visual/structural fidelity. A network optimized only for pixel-level MSE will produce outputs that look blurry but have low numerical error. A network optimized with SCS learns to preserve the local structure and patterns that make the field look physically plausible to human inspection and domain-expert evaluation.


IN-DISTRIBUTION VERSUS OUT-OF-DISTRIBUTION: HOW FAR CAN THE PATTERN GENERALIZE

There's a critical question hidden in every learning-based approach to scientific computing: how much can the network actually generalize? If you train on simulations with upsampling factor up to 16x, can it handle 32x? If you train on one type of material coefficient, can it work on completely different physical scenarios?

The distinction matters enormously. Any neural network can memorize training data. The real test of whether you've learned a physics-driven pattern, rather than just captured statistical artifacts of your training set, is whether it works on new configurations and extrapolation scenarios.

The experiments are structured to test both regimes carefully. The network trains on coarse-fine pairs with upsampling factors up to 16x. Then it's tested on 32x upsampling it never saw during training, as well as scenarios with different material properties represented by different coefficient maps. This tests not just the model's capacity to interpolate, but its ability to extrapolate the learned multiscale patterns.

Visual comparison shows the method handles both in-distribution cases (left, upsampling factor 16x) and out-of-distribution extrapolation (right, upsampling factor 32x). The reconstructed field structure remains recognizable even beyond the training regime. [https://arxiv.org/html/2411.07576/sota_mix.jpg] [https://arxiv.org/html/2411.07576/sota_mix.jpg]
Visual comparison shows the method handles both in-distribution cases (left, upsampling factor 16x) and out-of-distribution extrapolation (right, upsampling factor 32x). The reconstructed field structure remains recognizable even beyond the training regime.

The results show the method generalizes reasonably well out-of-distribution, though with some expected degradation as you push further from the training regime. This is the critical finding because it justifies calling this a "learned multiscale correction strategy" rather than just image super-resolution applied to finite element data. The network has learned something about how multiscale structure works in general, not just memorized specific examples.

To understand how the network adapts across different physical scenarios, the approach includes conditioning on material properties. By feeding different coefficient maps to the encoder, the network learns to adjust its multiscale correction strategy based on the physical parameters.

Conditional super-resolution demonstrates that the model adapts its correction pattern based on different coefficient maps and upsampling factors, showing learned flexibility across physical scenarios. [https://arxiv.org/html/2411.07576/condition.jpg] [https://arxiv.org/html/2411.07576/condition.jpg]
Conditional super-resolution demonstrates that the model adapts its correction pattern based on different coefficient maps and upsampling factors, showing learned flexibility across physical scenarios.

The network learns that different materials and heterogeneities require different fine-scale correction patterns, and it captures this adaptability in its weights.


WHAT THE NUMBERS ACTUALLY TELL US

At the end, you need empirical validation: is this actually better than alternatives? How much better? The paper compares against other super-resolution methods, other learning approaches like basic neural networks and other implicit neural representation variants, and standard finite element upsampling baselines.

The comparison metrics matter enormously because, as noted earlier, pixel-level error doesn't capture what scientists actually care about. The paper includes both traditional metrics (mean squared error, mean absolute error) and perceptual metrics that measure whether the fine-scale structure aligns with ground truth.

Sliced pixel comparisons show the proposed method follows sharp transitions and fine details more closely than competitors, especially at boundaries and high-frequency regions. [https://arxiv.org/html/2411.07576/sliced_compare_v3.jpg] [https://arxiv.org/html/2411.07576/sliced_compare_v3.jpg]
Sliced pixel comparisons show the proposed method follows sharp transitions and fine details more closely than competitors, especially at boundaries and high-frequency regions.

When you slice specific pixel sequences and compare methods, the proposed approach tracks the ground truth more faithfully than alternatives. Competitors either miss sharp transitions entirely or smear them out, while this method preserves fine structure with fidelity.

Residual visualizations reveal where the improvements are largest.

Residual differences between the proposed method and simpler local implicit transformer baselines show that gains are concentrated in high-frequency regions and sharp transitions. [https://arxiv.org/html/2411.07576/csr.jpg] [https://arxiv.org/html/2411.07576/csr.jpg]
Residual differences between the proposed method and simpler local implicit transformer baselines show that gains are concentrated in high-frequency regions and sharp transitions.

The visualization multiplies residuals by 20 times for visibility, but the pattern is clear: the proposed method reduces errors especially where fine structure matters most, at boundaries and transitions between regions with different properties.

The paper also tests the method on real-world soil pattern data, demonstrating that the learned patterns transfer to actual scientific data beyond the synthetic training regime.

Real-world soil patterns show that the method generalizes to natural spatial heterogeneity, successfully reconstructing fine-scale structure from coarse observations. [https://arxiv.org/html/2411.07576/real_world.jpg] [https://arxiv.org/html/2411.07576/real_world.jpg]
Real-world soil patterns show that the method generalizes to natural spatial heterogeneity, successfully reconstructing fine-scale structure from coarse observations.

This connection to real data is important because it grounds the work in practical utility. The method isn't just clever on carefully-curated synthetic examples; it works on the types of data scientists actually encounter.


WHY THIS MATTERS BEYOND THE NUMBERS

The paper ultimately succeeds because it solves a three-part problem elegantly. First, it reframes multiscale simulation as a learned-pattern problem, replacing hand-derived mathematical relationships with neural network induction from examples. Second, it builds neural network architecture specifically designed for multiscale structure: local implicit representations for continuous spatial prediction, transformers to learn long-range dependencies, and Gabor wavelets to overcome the frequency bias in neural networks. Third, it uses perceptual supervision via stochastic cosine similarity to ensure the learned patterns are physically meaningful, not just mathematically smooth.

The individual components are solid engineering. But their combination creates something genuinely useful: a system that learns a generalizable multiscale correction that works even on unseen scenarios, generating high-frequency details that reflect actual physics rather than neural network artifacts.

For scientists and engineers, this offers a practical advantage. Run expensive multiscale simulations once to train a network. Then use that network to quickly augment fast coarse simulations with plausible fine-scale structure. It's not a replacement for rigorous multiscale mathematics, but it's a powerful complement, trading theoretical guarantees for computational speed and practical effectiveness. In domains like material science, fluid dynamics, and geophysics, where multiscale phenomena dominate and compute resources are finite, this kind of learned correction becomes genuinely valuable.

----------------------------------------

Original post: Read on AIModels.fyi [https://www.aimodels.fyi/papers/arxiv/multiscale-corrections-by-continuous-super-resolution?utm_source=hackernoon&utm_medium=referral]

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