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Comparison with examples +displayTitle: SLA vs SLO vs SLI - What’s the Difference? +navTitle: SLA vs SLO vs SLI +description: Avoid user‑reported outages with synthetic checks, anomaly detection, smart alerting, and rich failure traces for rapid detection. +date: 2025-04-15 +author: Sara Miteva +githubUser: SaraMiteva +displayDescription: +menu: + learn_incidents +weight: 121 +menu: + learn_incidents: + parent: Detection +--- + +When we talk about keeping services running smoothly, we often hear about SLAs, SLOs, and SLIs. But what do these terms mean, and how are they different? SLAs, or Service Level Agreements, are like promises between a service provider and a customer. They outline what the customer can expect in terms of service quality. + +SLOs, or Service Level Objectives, are the specific goals that service providers aim to hit to meet the promises made in the SLAs. Think of them as targets for how well the service should work. Finally, SLIs, or Service Level Indicators, are the measurements used to see if the service is hitting its targets. They help us understand how well the service is doing. Together, these three help ensure services are delivered well and customers are happy. + +| **Categories** | **SLA (Service Level Agreements)** | **SLO (Service Level Objectives)** | **SLI (Service Level Indicators)** | +| --- | --- | --- | --- | +| **What is It?** | A contractual commitment defining agreed-upon expectations between a service provider and customers. | Specific, measurable goals set within the broader scope of SLAs. | Specific metrics measuring a service's performance. | +| **How Does It Help?** | Outlines metrics, response times, and service quality to ensure performance standards. | Pinpoints desired performance levels, emphasizing reliability and user satisfaction. | Measures specific aspects of a service's performance to assess its quality. | +| **Who Builds It?** | A collaborative effort involving service providers and customers, often led by technical teams. | A collaborative effort involving technical teams to set measurable goals within the SLA framework. | Developed by technical teams to measure and monitor specific aspects of service performance. | +| **What Happens if It's Breached?** | Breaching SLA terms may lead to penalties, legal consequences, and reputation damage to the provider. | Breaching SLOs signifies a failure to meet performance goals, triggering corrective actions and potential reevaluation. | SLI breaches indicate deviations in specific performance metrics, requiring investigation and improvement. | + +## What is an SLA (Service Level Agreement) + +At its core, a [Service Level Agreement (SLA)](https://www.techtarget.com/searchitchannel/definition/service-level-agreement) defines the expectations between service providers and customers. Overcoming challenges such as technical intricacies, customer preferences, language clarity, and detailed documentation is key to optimizing SLA effectiveness. By embracing best practices, SLAs become dynamic tools fostering transparency, accountability, and customer satisfaction. + +### SLA Challenges + +Hitting your SLAs can bring many challenges that demand a nuanced and strategic approach. Understanding and addressing these challenges is important for the success and effectiveness of SLAs: + +- **Defining Precise Metrics:** Accurately quantifying key performance indicators is a fundamental challenge in defining SLAs. The process requires clear definition and measurement to align with both client expectations and operational capabilities. +- **Balancing Flexibility and Specificity:** Achieving the right balance between flexibility and specificity is crucial. Overly rigid SLAs may hinder innovation, while overly lenient ones can lead to unmet expectations. Striking the balance is imperative for long-term success. +- **Adapting to Evolving Technologies:** The dynamic nature of industries and constant technological advancements pose a continuous challenge. SLAs must be flexible enough to adapt swiftly to changes, ensuring they remain relevant and effective in evolving business landscapes. +- **Effective Communication and Collaboration:** Successful SLAs hinge on effective communication and collaboration between service providers and clients. Clear understanding, transparent dialogue, and collaborative problem-solving are essential to preempt and address potential issues. +- **Monitoring Mechanisms:** Implementing robust mechanisms for [monitoring service level agreements](https://www.checklyhq.com/blog/how-to-monitor-all-the-nines-of-your-service-level-agreements/) is crucial. Regular assessments and timely feedback loops help identify and address deviations, ensuring service levels meet agreed-upon standards consistently. +- **Commitment to Continuous Improvement:** SLAs are not static documents. They are living agreements that demand a commitment to continuous improvement. A proactive approach to refining processes and adapting to changing circumstances is necessary for sustained success. + +### SLA Best Practices + +To overcome these challenges and ensure the effectiveness of SLAs, certain best practices should be observed: + +- **Involve Technical Teams in SLA Creation:** Collaboration with technical teams from the initial stages ensures that the SLA aligns with the technical capabilities and limitations of the services. This collaboration fosters a more accurate and realistic set of expectations. +- **Create SLAs Keeping Customers’ Preferences in Mind:** Considering customers’ preferences is crucial. By incorporating customer feedback and expectations, SLAs become more customer-centric. This also leads to increased satisfaction and trust. +- **Keep SLAs Simple and Use Clear Language:** Maintaining simplicity in SLAs is a best practice that cannot be overstated. Clear and straightforward language enhances understanding and reduces the risk of misinterpretation. +- **Document Everything:** Comprehensive documentation is crucial for successful SLAs. Documenting all aspects of the agreement ensures transparency. It also provides a reference point for dispute resolution and aids in continuous improvement. + +### Who Needs an SLA? + +Understanding who benefits from SLAs is essential for businesses looking to establish effective service standards. In essence, SLAs are beneficial for: + +- **Service Providers:** They set clear expectations and define performance standards. +- **Customers:** They have a transparent understanding of the services they can expect. +- **Businesses:** SLAs contribute to accountability, transparency, and customer satisfaction, ultimately impacting the bottom line positively. + +### SLA Examples + +To illustrate the practical application and importance of effective SLA management, let's explore some real-world examples across various industries: + +| **Use Cases** | **Description** | +| --- | --- | +| Cloud Services | This SLA between a cloud service provider like Checkly and its customers specifies uptime guarantees (e.g., 99.9% uptime), data security standards, and disaster recovery protocols. | +| IT Support | An agreement detailing response times for IT support requests, resolution times based on the severity of issues, and the modes of support available (e.g., phone, email, chat). | +| Telecommunications | SLA for a telecom company can include network availability targets, call quality standards, and maintenance window notifications. | + +## What is an SLO (Service Level Objective) + +[Service Level Objectives (SLOs)](https://www.gartner.com/en/information-technology/glossary/slo-service-level-objective) are critical to managing and maintaining reliable and efficient systems. An SLO is a set of quantitative measures that define the level of service a system must deliver. This helps teams align their performance goals with user expectations. SLOs play a pivotal role in ensuring that services meet user needs while allowing organizations to manage their resources effectively. + +### SLO Challenges + +Implementing SLOs comes with a set of challenges. Teams often face difficulties in defining precise and meaningful objectives and striking the right balance between aggressiveness and achievability. The challenge lies in creating objectives that align with user expectations while being realistic regarding system capabilities. Additionally, unforeseen contingencies can impact the achievement of SLOs, requiring continuous adaptation and improvement. + +### SLO Best Practices + +To overcome challenges associated with SLOs, it is essential to follow best practices that streamline the process and enhance the effectiveness of these objectives: + +- **Keep SLOs Simple and Clear:** Simplicity is key when defining SLOs. Clear and straightforward objectives facilitate better understanding and communication across teams. Avoid overly complex or ambiguous metrics that can lead to confusion and misalignment. +- **Account for Contingent Issues:** Recognizing that unforeseen issues can impact service levels is crucial. Build flexibility into your SLOs to account for contingent issues. This allows teams to adapt and maintain service quality despite unexpected challenges. +- **Create SLOs for Internal Systems:** While SLOs are often associated with customer-facing services, internal systems also benefit from performance metrics. Implementing SLOs for internal services ensures that the entire infrastructure operates at optimal levels. This contributes to overall organizational efficiency. +- **Don’t Create More Than Necessary SLOs:** Creating an excessive number of SLOs can be counterproductive. Focus on the most critical aspects of your services and establish a manageable set of objectives. This enables teams to prioritize effectively and dedicate resources where they are most needed. + +### Who Needs an SLO? + +The adoption of SLOs is not limited to specific roles or teams. Anyone involved in delivering, managing, or maintaining services can benefit from implementing SLOs. Development teams, operations teams, and leadership play crucial roles in defining and achieving SLOs. SLOs serve as a unifying metric that aligns the efforts of various teams toward a common goal—ensuring a high-quality user experience. + +### SLO Examples + +To demonstrate how Service Level Objectives (SLOs) set the stage for measuring and achieving service quality, here are examples from various industries. + +| **Use Cases** | **Description** | +| --- | --- | +| E-commerce Website | An SLO for an e-commerce platform may include a page load time of under 2 seconds for 95% of all page views to enhance user experience and reduce bounce rates. | +| Online Banking | For an online banking service, an SLO can specify a transaction success rate of 99.5%, ensuring reliability and trust in digital transactions. | +| Cloud Storage | A cloud storage service can have an SLO that guarantees data retrieval times of less than 300 milliseconds for 99% of requests, providing quick access to stored information. | + +## What is an SLI (Service Level Indicator) + +[Service Level Indicators (SLIs)](https://www.techtarget.com/searchcustomerexperience/definition/service-level-indicator) are fundamental components of service level management. They provide measurable metrics to evaluate the performance of a system. SLIs are specific, quantifiable measurements that give insights into various aspects of a service. This enables teams to assess the service’s reliability and effectiveness. + +### SLI Challenges +Implementing SLIs comes with its share of challenges. Defining metrics that accurately represent the user experience can be complex. Teams often struggle with selecting the right indicators that align with user expectations and business goals. Additionally, ensuring that SLIs remain relevant and meaningful over time requires continuous attention and adaptation. + +### SLI Best Practices + +Overcoming challenges associated with SLIs involves following best practices that enhance their accuracy and relevance. + +- **Create Precise and Measurable SLIs:** SLIs should be crafted with precision, reflecting the specific aspects of a service that matter most to users. Measurable metrics allow for objective evaluation and facilitate data-driven decision-making. Avoid vague or overly broad indicators to ensure the effectiveness of SLIs. +- **Keep SLIs Simple:** Simplicity is key when designing SLIs. Clear and straightforward indicators are easier to understand and communicate across teams. Avoid unnecessary complexity that can lead to confusion and misinterpretation of performance metrics. + +### Who Needs an SLI? + +The importance of SLIs extends to various roles within an organization. Anyone involved in the development, deployment, or maintenance of services can benefit from incorporating SLIs into their processes. Development teams use SLIs to monitor the impact of code changes. Operations teams leverage SLIs to ensure system reliability. Leadership relies on SLIs to make informed decisions about resource allocation and strategy. + +### SLI Examples + +To refine our understanding of service measurement further, let's examine some Service Level Indicators (SLIs) that quantify the performance of services. + +| **Use Cases** | **Description** | +| --- | --- | +| Website Uptime | For a web hosting service, an SLI can measure the percentage of time the hosted websites are accessible to users, aiming for an uptime of 99.9%. | +| API Response | In API services, an SLI could be the average response time for API calls, with a target of responding within 500 milliseconds for 95% of the requests. | +| Customer Support Response | For a customer support team, an SLI can track the average response time to customer inquiries, with a goal of responding to 90% of inquiries within 1 hour. | + +## Why are SLAs, SLOs, and SLIs Important? + +Service Level Agreements (SLAs), Service Level Objectives (SLOs), and Service Level Indicators (SLIs) are integral components of effective service management. Each of them serves a unique purpose in ensuring the delivery of high-quality services. Understanding their importance is paramount for organizations striving to meet user expectations and maintain operational excellence. + +### Ensuring Accountability with SLAs + +SLAs set the foundation for accountability and transparency. These agreements define the expected level of service a customer can anticipate. It also outlines measurable metrics such as response times, uptime, and resolution periods. By clearly defining these expectations, SLAs foster trust between service providers and customers. When complied with, SLAs help organizations demonstrate their commitment to delivering reliable and timely services. + +### Aligning Objectives with SLOs + +SLOs bridge the gap between user expectations and system capabilities. These objectives establish quantifiable performance goals. This allows teams to align their efforts with user needs. SLOs serve as a roadmap for maintaining service quality. They help organizations strike a balance between ambitious targets and achievable benchmarks. Establishing SLOs encourages continuous improvement, adaptability, and a proactive approach to managing service levels. + +### Gaining Insights Through SLIs + +SLIs provide a granular view of service performance. These indicators offer specific, measurable metrics that serve as the building blocks for SLOs. SLIs enable teams to monitor various aspects of service. These range from latency and error rates to user interactions. By regularly evaluating SLIs, organizations gain valuable insights into the real-time health of their services. This process empowers them to make informed decisions, identify areas for improvement, and respond promptly to emerging issues. + +### The Collective Impact + +When integrated, SLAs, SLOs, and SLIs form a comprehensive framework for service excellence. SLAs provide a contractual foundation, SLOs establish performance objectives, and SLIs offer tangible metrics to measure success. This triad ensures a holistic approach to service management, aligning customer expectations with organizational capabilities. + +## Practical Example: Implementing SLIs, SLOs, and SLAs for APIs + +In the context of managing a customer-facing, business-critical API, it's essential to establish clear standards and expectations to ensure high-quality service. Here, we dive into an example that outlines SLIs, SLOs, and SLAs, using a practical scenario. + +### SLI: Service Level Indicator + +The SLI acts as a measure of the performance and reliability of the API. In this case, the SLI is defined by the API's ability to respond successfully with HTTP status codes ranging from 200 to 499, coupled with a response time of under one second. This metric is crucial because it quantifies the operational performance of the API from a technical standpoint, focusing on availability and speed. + +### SLO: Service Level Objective + +Building on the SLI, the SLO sets a target for the level of service the API aims to deliver. For our API, the objective is that the SLI conditions (response codes within 200-499 and response times below one second) are met for the 99th percentile of all requests. This means that out of 100 requests, at least 99 should satisfy these criteria. The SLO is a commitment to maintaining a high standard of service, ensuring that nearly all requests are handled efficiently and effectively. + +### SLA: Service Level Agreement + +The SLA transforms the SLO into a formal agreement with the customer. It guarantees that the service will achieve the SLO targets for a specified period, in this case, a quarter. The SLA also outlines the compensation customers will receive if the service fails to meet these expectations. This compensation could take various forms, such as financial credits, discounts, or other remedies. The SLA is a crucial part of customer contracts, providing a legal framework that ensures accountability and offers reassurance to customers about the reliability of the service. + +By setting these SLIs, SLOs, and SLAs, the company not only commits to delivering a high-quality API service but also provides transparency and trust to its customers. This framework helps manage expectations, foster customer satisfaction, and drive continuous improvement in service performance. + +## **How Checkly Can Help You Hit Your SLAs** + +[Checkly](https://www.checklyhq.com/) focuses on Synthetic Monitoring to track how well websites, applications, and APIs work. Its goal is to help [meet Service Level Agreements (SLAs)](https://www.checklyhq.com/blog/how-to-monitor-all-the-nines-of-your-service-level-agreements/) with customers with its features such as API checks, browser checks, heartbeat monitoring, etc. + +### **API Checks** + +[API checks](https://www.checklyhq.com/blog/what-is-api-monitoring/) monitor vital API endpoints frequently from various global locations. They allow for the validation of response codes and bodies to ensure accuracy, while also keeping an eye on response times to maintain a quick and efficient experience. Additionally, the feature of receiving instant alerts when any monitoring checks indicate a failure provides the assurance needed for maintaining smooth API operations. This proactive approach to monitoring ensures that APIs function seamlessly, enhancing reliability and user satisfaction. + +![a checkly dashboard](images/learn/sla-01.png) + +*Check out [this tutorial](https://www.youtube.com/watch?v=38ZXJy-nlvI) to find out how Checkly’s API checks work.* + +Checkly’s API checks can help you achieve your SLAs through: + +- **Continuous Monitoring:** Checkly allows you to continuously monitor your APIs from multiple global locations. This helps ensure that your services are available and responsive across different regions, aligning with SLA requirements for uptime and performance. +- **Automated Testing in Production:** You can automate API testing to validate the functionality, performance, and reliability of your endpoints. This includes checking for correct status codes, response times, and validating response bodies against expected outcomes. API monitoring helps in the early detection of issues that could breach SLA terms. +- **Alerting and Notifications:** Checkly provides real-time alerts and notifications when your APIs do not meet predefined thresholds or when failures occur. This immediate feedback loop enables you to quickly respond to and resolve issues before they impact your SLA commitments. +- **Customizable Check Intervals:** You can customize how frequently your APIs are checked, allowing for more frequent monitoring of critical services that have strict SLA requirements. This ensures that any downtime or performance degradation is detected and addressed promptly. +- **Performance Tracking:** Checkly tracks the performance of your APIs over time, offering insights into trends and potential areas of improvement. This data can help you optimize your services to not only meet but exceed SLA expectations regarding response times and reliability. +- **Detailed Reporting:** The platform provides detailed reports and dashboards that give visibility into API health, performance metrics, and historical data. These insights can be used to demonstrate compliance with SLAs during audits and reviews with stakeholders. + +### **Browser Checks** + +On the other hand, Checkly’s Playwright-based [browser checks](https://www.checklyhq.com/docs/browser-checks/) mimic user actions to make sure key processes work smoothly, and the heartbeat feature checks if systems are running properly. These capabilities enable the monitoring of response times, uptime, functionality, and internal systems performance. This comprehensive monitoring supports SLAs in keeping services healthy and running efficiently. + +![a checkly dashboard](images/learn/sla-02.png) + +Checkly’s browser checks can help you achieve your SLAs through: + +- **Real User Simulation:** Checkly's browser checks use real browsers to simulate user actions, such as clicking links, filling out forms, and navigating through web pages. This allows you to test and monitor the end-to-end user experience, ensuring that your application meets SLA requirements for functionality and user satisfaction. +- **Global Coverage:** By running browser checks from multiple locations worldwide, you can ensure that your web application delivers a consistent user experience across different geographical regions. This is particularly important for SLAs that specify performance standards across diverse user bases. +- **Performance Metrics:** Checkly provides detailed performance metrics, such as page load times, which are crucial for meeting SLAs related to website speed and responsiveness. Monitoring these metrics allows you to identify and address performance bottlenecks before they affect user satisfaction. +- **Visual Regression Testing:** You can use Checkly to perform [visual regression testing](https://www.checklyhq.com/blog/visual-regression-testing-with-playwright/), which ensures that your web application's visual elements render correctly across different browsers and devices. This helps maintain a high-quality user interface, in line with SLA standards for usability and design. +- **Error Detection and Alerting:** Checkly alerts you in real-time if a browser check fails, enabling you to quickly identify and resolve issues such as broken links, malfunctioning features, or downtime. This rapid response capability is essential for adhering to SLAs that stipulate minimal downtime and quick issue resolution. +- **Customizable Check Intervals:** You can configure the frequency of your browser checks to match the criticality of different application components. For example, you might run checks on key user flows every few minutes to ensure high availability and performance, aligning with stringent SLA requirements. +- **Reporting and Insights:** Checkly provides comprehensive reports and dashboards that offer insights into the historical performance and reliability of your web application. These insights can be used to demonstrate compliance with SLAs during stakeholder reviews and to identify areas for improvement. + +*To find out more about Checkly’s browser checks & how to get started, check out [this article](https://www.checklyhq.com/docs/browser-checks/).* + +### **Checkly Best Practices** + +If you’re using Checkly, here are some best practices that will help you make sure you’re doing everything you can to adhere to your SLAs. + +- [Monitor your critical APIs more frequently](https://www.checklyhq.com/blog/how-to-monitor-all-the-nines-of-your-service-level-agreements/). To ensure that you’re always aware of the health of your critical APIs, ping them in an interval between 10s and 2min. +- Use [parallel scheduling](https://www.checklyhq.com/blog/parallel-scheduling/) to detect regional outages as quickly as possible and [reduce your MTTR](https://www.checklyhq.com/blog/what-is-mean-time-to-repair-mttr/). +- Use [smart retries](https://www.checklyhq.com/docs/alerting-and-retries/retries/#retry-strategies)–pick one of the three retry strategies we offer based on the frequency of your check runs. + +*The impact of check frequency on your SLAs:* + +![a checkly dashboard](images/learn/sla-03.png) + +### **Integrating Into Your Existing Workflow** + +Checkly enables you to monitor your SLAs by allowing you to monitor services closely and check how they perform worldwide in over 20 locations. You get instant alerts when there's any issue, helping you react quickly to fix it. The platform keeps an eye on services all the time and adjusts to new needs or changes. + +Checkly integrates on-call tools like PagerDuty and Opsgenie for handling problems, and you can also set up your own connections with webhooks. This helps fix issues fast and keeps things running smoothly. + +Moreover, Checkly can integrate with your continuous integration and deployment (CI/CD) pipelines, allowing for automated checks to run as part of your development process. This ensures that any changes to your services maintain or improve compliance with SLA requirements before deployment to production. + +Checkly makes it easier for organizations to set up their monitoring in a way that meets their needs, looks after their services everywhere, and keeps their standards high by quickly dealing with any problems that come up. + +## **Conclusion** + +To put it simply, knowing what SLA, SLO, and SLI mean is really important for anyone working with services, whether you're providing the service, working within a team, or you're the customer. + +- **SLIs** are like measuring how well your service is doing, similar to checking your health. +- **SLOs** are like your health goals, giving you something to aim for in how well your service should work. +- **SLAs** make everything official, giving both the service provider and the customer clear rules and protection under the law for what the service should be like. + +Think of these three terms as the basic parts you need for managing a service that's responsible, high-quality, and always getting better. + +Whether you use them on their own or together, they help make sure you're offering a great service and always looking to do better. + +Checkly can become your most valuable partner in achieving your SLIs, SLOs, and SLAs. [Schedule a customized demo to find out how.](https://calendly.com/d/5gk-49g-f76/checkly-demo?month=2024-02) \ No newline at end of file diff --git a/site/content/learn/monitoring/api-monitoring.md b/site/content/learn/monitoring/api-monitoring.md new file mode 100644 index 000000000..585983bd8 --- /dev/null +++ b/site/content/learn/monitoring/api-monitoring.md @@ -0,0 +1,275 @@ +--- +title: What is API Monitoring? - Tools, techniques, and examples +displayTitle: What is API Monitoring? +navTitle: API Monitoring +description: The goal of API monitoring is to determine whether the APIs are functioning as they should and whether they are available and functioning at an optimal level for the other applications and services that rely on them. +date: 2024-12-15 +author: Nocnica Mellifera +githubUser: serverless-mom +displayDescription: + The goal of API monitoring is to determine whether the APIs are functioning as they should and whether they are available and functioning at an optimal level for the other applications and services that rely on them. +menu: + learn_monitoring: + parent: Monitoring Concepts +weight: 35 +--- + +API monitoring is the practice of evaluating how an API (Application Programming Interface) is performing over time via several different metrics, including verifying availability, verifying correctness (i.e., is the data that is being sent and received correctly?), and measuring performance and asserting that against a performance threshold. The goal is to determine whether the APIs are functioning as they should and whether they are available and functioning at an optimal level for the other applications and services that rely on them. + +Tracking performance data of APIs, such as response times and variations in performance in the context of different environments, enables you to identify issues with them before customers and other stakeholders do, helping you avoid extended periods of downtime or degraded performance. + +![A diagram of dependencies](/learn/images/api-monitoring-01.png) + +## Why is API Monitoring Important? + +When a web application or website delivers less than optimal performance—or fails—the impact on your business or customer experience can be significant. API monitoring tools can be used to check your mobile, web app, or other APIs for *performance*, *correctness*, and *availability*. + +- **Performance Monitoring:** Monitoring an API endpoint for response time to requests could involve measuring TCP, DNS, and first byte times. +- **Correctness Monitoring:** Checking that an API is returning the correct data payload, authentication, status codes, and headers and validating that any given API is functioning correctly. +- **Availability Monitoring:** Whether your API is available from a single location or via multiple points across the globe, availability is a vital monitoring metric. If an API is accessible on a global basis, monitoring that API from various locations across the globe can give you insight into any region-specific issues. + +A good monitoring solution can provide information on all of the aspects outlined above. Once equipped with this knowledge, teams can take the appropriate steps to both fix any damage done as well as [improve suboptimal APIs](https://blog.dreamfactory.com/8-tips-for-optimizing-an-api/) for long-term stability. + +More importantly, having an efficient alerting regimen working in concert with your monitoring solution can ensure that the right people are notified of problems as soon as they emerge. Precise and accurate reporting then provides additional insights necessary for a successful investigation into the problem. All of this translates into faster time to recovery, fewer problems being encountered by the end-user, and helps mitigate revenue loss. + +**Get Started for Free:** [Try Checkly for API Monitoring Today](https://app.checklyhq.com/signup?utm_medium=blog&utm_source=organic&utm_term=get-started-section) + +## Benefits of API Monitoring + +API monitoring offers several important benefits that enhance the efficiency, security, and performance of applications and systems. It enables organizations to proactively monitor and detect potential issues, ensuring smooth operations. Here are the key advantages of API monitoring: + +| **Benefits** | **Description** | +| --- | --- | +| Improved Insights and Performance | Continuous API monitoring provides valuable insights to enhance operations. It identifies bottlenecks, optimizing response times and resource utilization. It also tracks API dependencies, ensuring seamless performance. Moreover, monitoring ensures high availability and detects anomalies for prompt issue resolution. | +| Enhanced API Performance | Thanks to API monitoring, you can track performance over time, which then enables you to reduce latency, optimize scalability, detect errors, and optimize caching. | +| Improved API Metrics | Monitoring elevates API metrics, including uptime and [SLAs](https://www.checklyhq.com/blog/sla-slo-sli/). It tracks API uptime, ensuring uninterrupted service, and measures performance against SLAs. By monitoring key metrics like response times and error rates, deviations from agreed standards are promptly addressed. | +| API Responses Accuracy | Ensuring the accuracy of API responses is crucial. Monitoring validates data against predefined rules, detects errors, and sets up alert notifications for quick actions. It also provides performance insights related to accuracy. | + +Incorporating API monitoring into your software development workflow is instrumental in optimizing operations, enhancing user experiences, and making data-driven decisions for continuous improvements. + +## API Monitoring Use Cases + +Each team will have its own primary use case for API monitoring, but the most common use cases will usually be one of the following. + +- **Endpoint Uptime Monitoring**: The simple monitoring of 'are we returning 200 responses and valid objects?' Regular pinging of API endpoints to ensure they are operational, which is critical for service availability. +- **Performance Benchmarking**: Tracking the response times of APIs to assess and maintain optimal performance levels. A more analog measurement than uptime monitoring. Seeing that your response times are slipping can indicate underlying infrastructure issues or technical debt in code performance. +- **Global Availability Checks**: Testing API availability and responsiveness from various global locations to ensure consistent user experiences worldwide. Especially when you have differences in data sovereignty or other cloud architecture differences, this becomes a key check. When I was in Enterprise Services, I always checked our global status first when a high-level customers complained of outages, as geo differences were the most common cause of a hidden issue. +- **Versioning and Deployment Validation**: Using [synthetic monitoring](https://www.checklyhq.com/blog/what-is-synthetic-monitoring/) post-deployment to confirm that the API functions as expected, catching issues beyond the scope of unit or integration tests. It's even possible to hook these results directly to a canary deployment system! +- **SLA Compliance Monitoring**: Measuring API performance and uptime against Service Level Agreements to maintain customer trust and transparency. This SRE's best tool for tracking SLA compliance is an effective API monitoring tool. + +## Do You Need to Monitor APIs Constantly? + +With applications relying heavily on APIs for their functioning, monitoring APIs on a regular, consistent basis becomes a necessary practice in any software development and maintenance project. Companies that are committed to ensuring that end-users have a positive and smooth experience with their product often take advantage of the best API monitoring tools and services to notify them of any issues before customers encounter them. + +Around-the-clock, 24/7 API monitoring is essential to catch any issues with APIs that could negatively impact the health of applications. Without API monitoring in place, businesses risk the development of gaps in their knowledge of the application’s status, which can have severe consequences for the stability of the application, and the end-users’ experience of it. + +Another compelling reason for 24/7 monitoring is that there are multiple points of potential failure in API operations. An update to the API itself might introduce a bug, which leads to downtime or performance degradation, but the same might happen due to infrastructure reasons (e.g., maybe a server or a hosted cloud instance is overloaded). API monitoring should ideally be incorporated into a team’s larger API testing and monitoring efforts so that they can have a comprehensive view and understanding of the application performance and its various components at any given point in time. + +## How to Monitor Your APIs + +Now that we have established what API monitoring is and why businesses should adopt it as part of their development process, here are some tips to get started. + +The first step is to identify which APIs are currently being employed by your system, including both internal APIs as well as external third party APIs. Understanding the exact role they play in the development of your application is crucial to knowing which metrics need to be monitored and tested. Important metrics such as [API response time](https://www.checklyhq.com/docs/api-checks/limits/), availability, and data correctness are a few that you will be interested in keeping an eye on. + +Requests are sent to the API, whose responses are evaluated in terms of speed, availability, and correctness. In case the response received does not meet the standards laid out for it, the [API check](https://www.checklyhq.com/docs/api-checks/) registers an error. It is common for monitors to send a second request to that API in the event of a failure. If the API is unreachable or its response is once again inadequate, an alert is triggered, and pre-defined developers and API-providers are informed about the situation. + +The next step is to choose an API monitoring tool that will best support your needs. A good monitoring tool will [run checks](https://www.checklyhq.com/docs/monitoring/) across all your APIs frequently and be able to check for various metrics across criteria such as performance and correctness. With [Checkly](https://app.checklyhq.com/signup?utm_medium=blog&utm_source=organic&utm_term=get-started-section) you can establish a high frequency of checks, which allows you to observe the status of the target system with greater granularity. For example, a critical API endpoint could be monitored every ten seconds to ensure that any issues are caught immediately rather than waiting on a slower monitoring frequency. Additionally, Checkly enables you to monitor APIs from over 20 locations to ensure that they operate smoothly globally. + +Checkly’s [API monitoring tool](https://www.checklyhq.com/product/api-monitoring/) is an optimal solution for companies keen to develop and integrate an effective API monitoring flow into their existing development and maintenance processes. + +Checkly enables you to streamline the API monitoring process. You can start by creating or importing HTTP requests for the endpoints you want to monitor, then specify assertions against the response (and response time). There are ample opportunities to customize [setup and teardown](https://www.checklyhq.com/docs/api-checks/setup-teardown-scripts/) [using scripts](https://www.checklyhq.com/guides/setup-scripts/) to fetch OAuth tokens or help clean test data. Checkly has data centers in twenty locations worldwide, from which it can run API checks up to every ten seconds. This is crucial to get a comprehensive and accurate picture of the health of your APIs. Finally, depending on your workflow, [Checkly also integrates with services such as Slack](https://www.checklyhq.com/integrations/), email, and Pagerduty to notify and alert you of any incidents. + +## API Monitoring as Code + +You can also use Checkly with Infrastructure-as-Code tools like Terraform and Pulumi, or [the official Checkly CLI](https://www.checklyhq.com/docs/cli/), to extend the benefits of IaC to collaborative API monitoring, having your monitoring defined right next to your existing code and fitting your existing workflows. + +- **Get Started for Free:** [Try Checkly for API Monitoring Today](https://app.checklyhq.com/signup?utm_medium=learn&utm_source=organic&utm_term=get-started-section) + +## How to Set Up API Monitoring Using Checkly + +Setting up API monitoring using Checkly is straightforward, with all its sufficient resources, features and guides. If you’re able to build a working API, then you should find it easy to follow the steps below and start monitoring your APIs. + +Let’s see how to set up API monitoring using Checkly: + +### Step 1: Sign up for a Checkly Account + +To get started, head over to the [Checkly website](https://app.checklyhq.com/signup) and sign up for an account if you don’t have one already. + +![A diagram of dependencies](/learn/images/api-monitoring-02.png) + +By default, you have access to a free Team trial which expires after 14 days, so in order to continue enjoying the advanced features, you can [subscribe to a pricing plan](https://www.checklyhq.com/pricing/) depending on your needs and requirements. + +### Step 2: Create a New Check + +Once you've signed up and logged in, you can proceed to a [Browser Check](https://www.checklyhq.com/docs/browser-checks/), API Check or use the CLI script. + +Let’s play around with the API Check. On your dashboard, click the "API Check" tab (you can toggle between tabs). You should see an interface like this: + +![A diagram of dependencies](/learn/images/api-monitoring-03.png) + +You can either check your API, by entering the URL and selecting the HTTP method (GET, POST, PUT, DELETE) the URL accepts, import using a cURL command or import from Swagger or OpenAPI. + +For instance, using cURL, make a request to your API in your browser, go to the developer tools and find the particular request you want to monitor. Let’s use a request from [https://fakestoreapi.com](https://fakestoreapi.com/), and copy the request from the Chrome developer tools as cURL just like the image below: + +![the Checkly interface](/learn/images/api-monitoring-04.png) + +Here is what the cURL looks like: + +```bash +curl 'https://fakestoreapi.com/products/1' \ + -H 'authority: fakestoreapi.com' \ + -H 'accept: */*' \ + -H 'accept-language: en-US,en;q=0.9' \ + -H 'dnt: 1' \ + -H 'if-none-match: W/"16c-MMdrqY6N0sTiefLdsgtBej9eunY"' \ + -H 'referer: https://fakestoreapi.com/' \ + -H 'sec-fetch-dest: empty' \ + -H 'sec-fetch-mode: cors' \ + -H 'sec-fetch-site: same-origin' \ + -H 'user-agent: Mozilla/5.0 (iPhone; CPU iPhone OS 13_2_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.0.3 Mobile/15E148 Safari/604.1' \ + --compressed +``` + +Go back to your Checkly dashboard and click the “Import a cURL command” button. A dialog box will pop up. Paste the cURL you copied in the input field and then click “Import cURL”. + +Now, you should have a more detailed interface containing information and settings for the API request. + +![A diagram of dependencies](/learn/images/api-monitoring-05.png) + +### Step 3: Configure the Request Settings + +In this step, you need to configure various settings for your check. Start by giving your check a name that describes its purpose or functionality. You can also add optional tags to categorize your checks. + +Next, since the cURL command already specified the request details such as the HTTP method (GET, POST, PUT, DELETE), URL, headers, body/query parameters and authorization (tokens or API keys), the Checkly UI enables you to change/update these details. + +### Step 4: Set Up Monitoring Frequency + +Monitoring frequency determines how often Checkly will send requests to your API endpoint to check its availability and performance across multiple or selected data centers under the “SCHEDULING & LOCATIONS” tab. + +![the Checkly interface](/learn/images/api-monitoring-06.png) + + +You can choose from various intervals like every minute or custom intervals based on your needs. You can also add assertions and limits to validate specific response criteria like status codes or response time. + +### Step 5: Define Alert Channels + +Alert channels allow you to receive notifications when issues or errors are detected during API monitoring. Checkly supports multiple alert channels including email, phone calls, SMS, Slack, Discord, Telegram, PagerDuty, Webhooks and more. Configure the desired alert channels and provide relevant contact information. + +### Step 6: Review and Save + +Before saving your check configuration, it's essential to review all the settings and ensure they accurately meet your needs and requirements. Double-check the request details, assertions, monitoring frequency, and alert channels. Once you're satisfied, click the green “Save Check” button at the right-top corner. + +### Step 7: Monitor and Analyze + +With your API check set up, Checkly will start monitoring your APIs according to the defined frequency. You can now sit back and let Checkly do its job. + +Checkly provides comprehensive dashboards and reports to help you analyze the performance and health of your APIs. Utilize these insights to identify potential bottlenecks, optimize response times, and ensure overall reliability. + +From our example in this article, Checkly is monitoring the API from our Fake Store API. + +![the Checkly interface](/learn/images/api-monitoring-07.png) + +By following these steps and utilizing Checkly's intuitive interface and features, you can easily set up a comprehensive API monitoring strategy. Implementing a reliable monitoring solution like Checkly helps you stay proactive in identifying and resolving issues before they impact your users or business. + +## How to Choose an API Monitoring Tool: Key Parameters + +When choosing the best API monitoring tools, it's essential to consider several key parameters to select the right one among the many available options. These parameters will help you choose a tool that meets your specific requirements and ensures the effective monitoring of your APIs. Let's explore these parameters in detail. + +### API monitoring usability + +**Usability** is paramount when selecting API monitoring tools. Opt for a tool with an intuitive interface, customizable reports, and streamlined setup. Real-time alerts can be a game-changer, providing instant notifications through various channels like email, Slack, or SMS to keep you informed and allow prompt action. + +Additionally, look out for monitoring tools betting on code-first configuration with a [Monitoring as Code approach](https://www.checklyhq.com/guides/monitoring-as-code/) to control and update your monitoring setup and application in the same process. + +### Valuable API monitoring metrics + +**Metrics** are essential for evaluating API performance. Here are some key metrics to consider when monitoring APIs: + +- **Response Time**: This metric measures the time it takes for API transactions to take place. By monitoring the response time, you can identify if there are any delays or performance issues. +- **Error Rate**: The error rate metric helps you determine the percentage of requests that encounter errors. Monitoring this metric enables you to proactively identify and resolve any issues that may impact the reliability of your APIs. +- **Throughput**: Throughput measures the number of requests processed by an API within a given time frame. Monitoring throughput can help you determine if your API can handle the expected load and scale appropriately. +- **Latency**: Latency is the delay between sending a request and receiving a response. By monitoring latency, you can identify any delays in data transmission and optimize your API's performance. + +Tools like Checkly offer real-time data collection and visualization, enabling data-driven decisions for improving API performance monitoring. + +### Essential monitoring integrations + +**Integration** ensures seamless operations and efficient error detection. Choose a tool with robust integration capabilities, like Checkly, which [integrates with tools](https://www.checklyhq.com/docs/integrations/) like Slack, PagerDuty, and Jira. It also offers a REST API for automation and integration into existing workflows. + +### Resources and technical support + +**Support** is vital for a smooth monitoring experience. API monitoring tools provide support in various ways, which include: + +- **Documentation**: Look for tools that offer well-written and detailed documentation. This should include clear instructions on how to set up and configure the tool, as well as troubleshooting guides for common issues. +- **Community**: A strong and active community can be a valuable resource for users. Look for tools that have a vibrant community where users can ask questions, share experiences, and learn from each other. +- **Customer support**: It's essential to have access to responsive customer support in case you encounter any issues or need assistance. Look for tools that offer multiple channels of communication, such as email or live chat, and have reasonable response times. +- **Training and resources**: Some API monitoring tools provide additional training resources, such as webinars or tutorials, to help users understand the tool's features and capabilities better. + +By considering these parameters, you can confidently select an API monitoring tool that meets your specific requirements, enhances security, optimizes performance, integrates seamlessly, and provides reliable support throughout your monitoring journey. + +## API Monitoring Best Practices + +Having a comprehensive API monitoring strategy is crucial for ensuring the smooth functioning of your APIs and identifying any issues before they cause major problems. + +To get the best from your API monitoring strategy, consider the following practices: + +| **Best Practice** | **Description** | +| --- | --- | +| Set Clear Objectives | Clearly define your monitoring goals. Determine what aspects of your APIs you want to monitor, such as response times, error rates, or throughput. This will help you set up effective monitoring and focus on what matters most to your business. | +| Establish Baseline Metrics | Before deploying your APIs, establish baseline metrics to understand their normal behavior. This will enable you to quickly identify any anomalies or deviations from the expected performance. | +| Monitor Key Performance Indicators (KPIs) | Identify and monitor the key performance indicators that directly impact the user experience or business outcomes. This may include response time, error rates, latency, and availability. Tracking these KPIs will help you stay proactive in addressing potential issues. | +| Implement Real-Time Alerts | Configure real-time alerts to promptly notify you when an API metric exceeds a predefined threshold or encounters an error. This allows for immediate action and minimizes downtime. | +| Leverage Synthetic Monitoring | In addition to monitoring production APIs, consider implementing synthetic monitoring by simulating user interactions with your APIs. This enables you to proactively test and monitor critical functionalities without impacting real users. | +| Analyze Historical Data | Analyzing historical monitoring data can provide valuable insights into trends, patterns, and potential areas for optimization. Use this data to make informed decisions and continuously improve your API performance. | + +By following these best practices, you can optimize your API monitoring strategy, minimize downtime, enhance performance, and ensure a seamless user experience. + +## Conclusion + +In summary, API monitoring is essential for ensuring the security, performance, and reliability of APIs. It enables organizations to proactively detect and address issues, prevent security breaches, optimize performance, and deliver accurate data to users. By implementing effective monitoring practices and choosing the right tools, organizations can maintain the smooth functioning of their APIs. + +If you're considering implementing API monitoring in your projects, [try Checkly for free](https://app.checklyhq.com/signup). Explore our comprehensive monitoring solutions to enhance your API performance and ensure a seamless experience for your users. + +## Frequently asked questions + +Learn more about API monitoring and how it helps you to avoid production issues. + +### How often should you check the health of your APIs? +There's no silver bullet when choosing the best monitoring interval. The main question is: How long can you afford broken API endpoints to go unnoticed? If you monitor your API endpoints only once an hour, and your API goes down, your discovery time can take up to one hour, too, depending on the time of the outage. + +We recommend choosing [short monitoring intervals for critical endpoints](https://www.checklyhq.com/blog/check-frequency/) going down to ten seconds to receive alerts almost in real time. For non-critical endpoints, a longer interval might suit you as well. + +### Q: How can businesses ensure the correctness of API responses? +When API responses change, this change often only appears when relying applications break. This results in a broken user experience. API monitoring prevents this from happening. A well-defined API monitoring solution enables developers to monitor API uptime but also API correctness and accuracy. + +[API check assertions](https://www.checklyhq.com/docs/api-checks/assertions/) allow you to define what API responses you expect from your API endpoints. Check assertions range from testing essential HTTP response headers to well-formed and correct JSON responses. + +You know your API best and should be as specific as possible to avoid user-facing production issues. + +### Q: How does 'Monitoring as Code' change traditional API monitoring approaches? + +Unlike traditional API monitoring services that rely on manual configuration, the [Monitoring as Code](https://www.checklyhq.com/product/monitoring-as-code/) approach enables developers to define and configure their API and end-to-end monitors in code. With Monitoring as Code, the entire monitoring configuration lives in source control next to the application code. The monitoring infrastructure can be tested in preview environments and will be updated when deploying to production via CI/CD. + +Having your monitoring setup defined in code eases the monitoring maintenance. Monitoring changes can be quickly retraced via version control; rollbacks can be applied via CI/CD and manual monitoring ClickOps will be banished. + +### Q: What metrics are most critical when monitoring an API? + +The obvious [API monitoring metrics](https://www.checklyhq.com/learn/monitoring/metrics-every-team-needs/) are API uptime and correctness. An unavailable or broken endpoint directly affects user experience. But they're not the only metrics to monitor. + +API performance metrics are essential for a well-running API, too. Do your API endpoints respond to global HTTP requests in an acceptable time? And if they don't, are you aware of your API's degraded performance? + +To ensure a well-running API, you must constantly look at performance metrics because slow API responses will lead to a poor user experience of the products relying on these APIs. API response time is essential, but to find the cause of a slowed-down API, specific metrics such as DNS resolution time or time to first byte are handy tools to understand what's causing a performance regression. + +### Q: How does API monitoring differ from website monitoring? + +Website monitoring describes practices to check a website's availability, correctness, and user experience. These checks can be performed in various ways, from [real user monitoring](/learn/monitoring/real-user-monitoring/) to [synthetic monitoring](/learn/monitoring/synthetic-monitoring/) mimicking real-user behavior with headless browsers. + +API monitoring takes an active approach to monitoring APIs. An API monitor performs scheduled HTTP requests and alerts you when API endpoints become unavailable or degrade in performance. + +### Q: How do you handle false alarms in API monitoring? + +False alarms are a common problem in any active API monitoring solution because they'll trigger false alerts. API call retries are a standard solution to avoiding alerts caused by flaky APIs. + +A suitable retry solution is a balance between timely and valid alerts. How often do you want to retry until you get alerted? And how quickly do you want to retry an API call? And in what interval should your API be pinged again? + +The answers to these questions vary depending on the API and the urgency of downtime. A more extended retry period might be sufficient for some APIs, whereas, for others, a quick and single retry is the best approach. No matter your preference, your monitoring solution must provide [configurable retry strategies](https://www.checklyhq.com/docs/alerting-and-retries/#how-often-should-i-retry). \ No newline at end of file diff --git a/site/content/learn/monitoring/frontend-monitoring.md b/site/content/learn/monitoring/frontend-monitoring.md index b8b0a4a5b..e91d4819e 100644 --- a/site/content/learn/monitoring/frontend-monitoring.md +++ b/site/content/learn/monitoring/frontend-monitoring.md @@ -11,7 +11,7 @@ displayDescription: menu: learn_monitoring: parent: Monitoring Concepts -weight: 40 +weight: 70 --- No matter what internal testing or error monitoring we do for our web services, our end users will interact with that service through a front end. It’s necessary to perform front end monitoring so that you’re not relying on users to report problems. diff --git a/site/content/learn/monitoring/real-user-monitoring.md b/site/content/learn/monitoring/real-user-monitoring.md index d29eb1888..3d7053d9b 100644 --- a/site/content/learn/monitoring/real-user-monitoring.md +++ b/site/content/learn/monitoring/real-user-monitoring.md @@ -14,9 +14,6 @@ menu: weight: 50 --- - - **Real User Monitoring (RUM): A Practical Guide** - ## **Why Real User Monitoring Matters** Real User Monitoring (RUM) gives you actual performance data from real people using your website or app. Unlike synthetic tests (which simulate users), RUM shows you exactly what your customers experience—the promise is that if even one of your users encounters an error, you’ll know about it. diff --git a/site/content/learn/monitoring/synthetic-monitoring.md b/site/content/learn/monitoring/synthetic-monitoring.md new file mode 100644 index 000000000..ae79aa490 --- /dev/null +++ b/site/content/learn/monitoring/synthetic-monitoring.md @@ -0,0 +1,191 @@ +--- +title: Synthetic Monitoring - Concepts, Benefits & Challenges +displayTitle: What is Synthetic Monitoring? +navTitle: Synthetic Monitoring +description: Explore the what and why of synthetic monitoring. +date: 2025-04-15 +author: Nocnica Mellifera +githubUser: serverless-mom +displayDescription: Explore the what and why of synthetic monitoring. +menu: + learn_monitoring: + parent: Monitoring Concepts +weight: 55 +--- +Synthetic monitoring is the process of proactively simulating an interaction with a website, application, or API to measure that it’s available and performant in a given scenario. Synthetic monitoring also deals with alerting the right team with as much information as possible if an error or degradation occurs. + +Synthetic monitoring enables software teams to better understand the performance of their application by simulating realistic scenarios, like uptime of a homepage from a location in Europe, or the performance metrics of the entire checkout process in an eCommerce application at high-frequency intervals against production. It reduces risk in your software by lowering the overall time to detect an error that could negatively impact a customer by proactively alerting teams if performance degrades. + +Just as automated testing is essential for high-velocity development teams, enabling them to catch bugs and defects by simulating real user flows in testing and preview environments, synthetic monitoring enables teams to continuously monitor for optimal user experiences. Some synthetic monitoring tools, like Checkly, allow engineers to reuse entire end-to-end tests as production monitors. This enables true continuous quality to be practiced by organizations. + +## How does Synthetic Monitoring work? +At its core, synthetic monitoring is about simulating user interactions with an application to preemptively identify issues before they impact real users. Synthetic monitoring gives developers and operations engineers the confidence that they are one stay one step ahead, ensuring that potential problems are identified and resolved swiftly. + +In practice, synthetic monitoring works a lot like automated testing in production. Teams constantly run “tests” against a production environment from global locations. Using a Monitoring as Code workflow, its easy to even reuse real end-to-end tests as monitors, simply by deploying them to infrastructure such as Checkly. + +Synthetic monitors can measure uptime, transactions, status response performance and more - all from different regions of the globe set at a pre-configured frequency. + +This enables continuous confidence when making rapid changes to mission-critical services and applications by allowing you to notice issues before your customers do. + +## Benefits of Synthetic Monitoring +Synthetic monitoring plays a pivotal role in understanding an application's behavior under various scenarios. It allows teams to test how their application performs in different geographical locations, under various network conditions, and during peak load times. This insight is critical for applications that cater to a global audience, where performance can vary significantly based on a user's location and the time of day. Here are some other benefits of synthetic monitoring: + +### Proactive error detection +Considering your application's essential features, *how long would it be acceptable for these to be broken?* The answer to this question is your ideal monitoring interval. + +You can only fix production issues you know about. If making a purchase is your core business, you probably don't want to test this functionality only once a day after a production deployment. Nor do you want to rely on an observability platform reactive alerting you after a customer has encountered the broken checkout flow. + +### Faster mean time to detection +Synthetic monitoring enables you to test your core functionality daily, every hour, or even every minute. The shorter your synthetic monitoring interval, the quicker your mean time to detect (MTTD) will be. A short MTTD will enable you to fix production issues before your customers reach out to your support channels! + +### Accurate alerting & less noise +Betting on user experience testing with synthetic monitoring leads to more meaningful alerts. A failed transaction might be an issue, but your infrastructure could handle it gracefully. Alerts based on a broken user experience tell you the entire story and must be treated critically and acted on immediately. + +### Performance benchmarking +Another benefit of running synthetic monitoring with headless browsers is that you can monitor performance implications while testing core functionality. Is your web app fast enough for customers in Australia? Does it provide a good Core Web Vitals experience? Do core flows like the customer login become slower over time? + +Many things can cause performance degradation, but synthetic monitoring will unveil a slower user experience with aggregated performance metrics. You can't fix things you don't know about! + +### Controlled environments +Monitors are run from controlled environments with consistent browser properties and network connections to make root-cause analysis efficient and accurate. + +## Synthetic monitoring vs Real User Monitoring (RUM) +Real user monitoring, also called RUM or passive monitoring, is another way to analyze and monitor your application. RUM monitoring offers insights into user interactions, performance statistics, and your users' devices and locations in a way that differs greatly from synthetic monitoring. + +Unlike synthetic monitoring tools, RUM monitoring tools don't simulate user interactions, but rather record real user interactions. There's nothing for you to script or define. With RUM, an embedded JavaScript snippet records and reports the behavior of actual users back to you so that you can monitor and analyze your applications' performance and health. Your users are the data source! This sounds great, but there are a few challenges with RUM. + + + +| **Feature** | **Synthetic Monitoring** | **Real User Monitoring** | +|---------------------------|--------------------------------------------------|------------------------------------------------| +| **Monitoring Approach** | Simulates realistic scenarios and interactions | Observes and monitors real user traffic | +| **Monitoring Type** | Proactively monitors for errors or degraded performance | Reactively monitors metrics for abnormal data or performance | +| **Trace Generation** | Only produces traces when an error is encountered | Traces & stores vast amounts of user data (requires storage) | +| **Data Privacy** | Safe, secure data used during synthetic runs | May accidentally contain private user information or PII | + +A comparison of RUM vs. Synthetics + + +## Types of Synthetic Monitoring +There are a number of terms used around synthetic monitoring; everything from "Synthetic User Monitoring" to "Heartbeat Checks" can refer to the same test! However, in general, there are four types of monitoring that are most critical for monitoring your production services: + +### Uptime or Availability Monitoring +Availability Monitoring is fundamental. Its primary objective is to verify whether a web service or application is accessible at any given time. This type of monitoring simulates user interactions to check the availability of websites, APIs, and servers. It's not just about confirming that a server is up and returning "200 OK" status messages; it's about ensuring that the application is operational and responding as expected. + +### Transaction Monitoring +Transaction Monitoring takes a step further. To know that every part is really working as expected, Transaction Monitoring means simulating complex user transactions or workflows to verify that critical processes, like checkout or login, are working as intended. + +Scripts are designed to mimic the path a user would take through the application. This can be as simple as logging in or as complex as completing a multi-step transaction. The goal is to identify performance issues or bugs that might not be evident in other forms of testing. For example, this will reveal whether third-party services have failed, resulting in degraded performance on our own site. + +### Performance Monitoring +Web Performance Monitoring is all about speed and efficiency. It evaluates how quickly and smoothly your web application loads and operates from the user's perspective. This is a more analog measurement than the Availability or Transaction Monitoring, as exact loading times will vary and won't give simple "up or down" feedback. Web Performance Monitoring can identify technical debt, as small changes to your experience can add up to degraded (or improved!) performance for your end users. + +### Keyword Monitoring +Keyword monitoring entails monitoring for content that is expected to appear in an API response or within a UI. [Keyword monitoring](https://www.checklyhq.com/guides/keyword-monitoring/) can be extremely helpful for commerce sites or other content-driven websites like news publishers and blogs. + +## Synthetic Monitoring Best Practices +Implementing synthetic monitoring effectively ensures you maximize its value in identifying and resolving performance issues. Here are key best practices to follow: + +### 1. Define Key User Journeys +Before you implement synthetic monitoring, identify the most critical user interactions, such as login flows, checkout processes, or API endpoints that drive your business. These are the flows you want to be setting synthetic monitors for. Simulating these core pathways ensures that issues affecting customer satisfaction are detected early. + +### 2. Test From Multiple Locations +Set up monitors across geographically distributed data centers to simulate user access from various regions. This practice helps uncover location-specific latency or connectivity issues and ensures a consistent experience for global users. + +### 3. Use Realistic Scenarios +Craft test scripts that mimic real user behaviors, including complex interactions like multi-step forms or dynamic content loading. Ensure these scripts reflect typical device types, browsers, and network conditions to emulate authentic experiences. + +### 4. Monitor Continuously and Strategically +Schedule monitoring at frequent intervals to capture real-time performance data. Combine this with strategic off-peak monitoring to identify time-sensitive bottlenecks, such as overnight updates or backups affecting availability. + +### 5. Set Up Meaningful Alerts +Configure alerts to balance urgency and relevance. Alerts should only trigger for significant issues, avoiding noise from false positives or minor deviations, to ensure your team focuses on critical problems. + +### 6. Regularly Update Scripts +Keep monitoring scripts updated to align with application changes. Regular maintenance prevents outdated tests from providing inaccurate results or missing new vulnerabilities. + +### 7. Integrate Synthetic Monitoring with Your CI/CD Pipeline +Incorporate synthetic monitoring checks into your deployment workflows to catch issues before they reach production. Automated tests can act as gatekeepers for performance and functionality. + +By following these best practices, you can leverage synthetic monitoring to proactively enhance performance and deliver seamless user experiences. + +## Synthetic Monitoring Use Cases +Here are key use cases where synthetic monitoring shines: + +* Website Performance Monitoring: Simulate user interactions to measure load times, responsiveness, and overall performance of web pages. + +* API Monitoring: Ensure APIs are functional and responsive and deliver accurate data to dependent applications or services. + +* Global Availability Testing: Verify the availability and performance of your applications from various geographical locations. + +* End-to-End Testing: Test critical user workflows, such as account creation, login, or checkout processes, to ensure seamless experiences. + +* Third-Party Service Validation: Monitor the performance of integrated third-party services, such as payment gateways or content delivery networks (CDNs). + +* Mobile App Monitoring: Test app functionalities across different devices, platforms, and network conditions. + +* Baseline and SLA Verification: Establish performance baselines and ensure compliance with service-level agreements (SLAs). + +These use cases make synthetic monitoring essential for delivering reliable and high-performing applications. + +## Common Synthetic Monitoring tools +To do synthetic monitoring right, you'll either need to run a service totally independently of your existing tech stack or use a SaaS tool. A system to monitor your production services shouldn't go down when your own system does! You'll also need a tool to store past performance data and present it within a dashboard. + +### Playwright - The leader in browser automation +Backed by Microsoft, Playwright quickly became one of the leaders in synthetic and [end-to-end testing](https://www.checklyhq.com/guides/end-to-end-monitoring/). Its ability to control headless browsers while providing a stellar developer experience convinced the developers, quality assurance, and DevOps communities. And we at Checkly believe it's the best tool for synthetic monitoring. + +### Checkly - The best platform for running Synthetic Tests +While multiple Observability vendors offer limited site pings as part of a larger toolset, Checkly offers the best experience for users focused on synthetics testing. While other teams use Playwright only for the occasional end-to-end checks, Checkly lets you run these detailed checks with complex scripted behavior at any cadence you need to maintain your SLA. And Checkly can cost less than [half of what our competitors charge](https://www.checklyhq.com/blog/how-to-spend-ten-grand-12-bucks-at-a-time/). +Checkly offers rich options for scheduling tests on a cadence, including [scheduling checks from multiple regions](https://www.checklyhq.com/blog/parallel-scheduling/), and offers the most complete answer to ‘how is our service performing for all our users? + +### Monitoring as Code +At Checkly, we’ve pioneered Monitoring as Code to help shift observability left and unite testing and monitoring in the SDLC. With MaC, you can reuse real, end-to-end Playwright tests as monitors, configure alerting and thresholds with code, and deploy Dashboards and Status Pages to communicate your application’s health with internal and external stakeholders. + +## Conclusion +Synthetic monitoring forms the foundation of shipping a seamless user experience. It is a safety net for development and DevOps teams, allowing them to innovate confidently. By integrating synthetic monitoring with a MaC approach, we create a bridge between testing and monitoring, fostering a collaborative environment that enhances the overall health of your application. + +Synthetic monitoring and Monitoring as Code anticipate and resolve issues before they impact users and streamlines the process of maintaining a high-performing, user-centric application. In the fast-paced world of development, synthetic monitoring and MaC are tools and essential practices that ensure your application consistently delivers an optimal user experience. + +Because you have to remember you can only fix issues you know about. + +## Frequently Asked questions about Synthetic Monitoring + +### What is the difference between observability and synthetic monitoring? + +The concepts of observability and monitoring aim to provide critical insights into an application's health and performance. And while both seem similar, they differ in their approach to system analysis. + +Synthetic monitoring, on the one hand, operates on a set of predefined actions leading to certain results and metrics. It includes calling API endpoints to check for correct and performant responses or controlling headless browsers to simulate user actions and test for functioning UI interactions. Synthetic monitoring looks at your application from the outside and constantly tests that everything operates correctly. + +Observability, on the other hand, helps to analyze a system’s internals by scanning and parsing log files, traces, and system events. Thanks to observability you are able to trace events across system boundaries and services. It enables a comprehensive view of your infrastructure, the taken operations, and your system’s overall health and performance. + +Both approaches are valuable to guarantee a well-functioning and highly available system, but only in combination do they really shine. Synthetic monitoring enables you to proactively test your application's functionality and get alerted when something is wrong and impacts end user experience. Observability then enables you to find out what’s wrong after getting alerted. + +### How does synthetic monitoring contribute to maintaining website uptime? + +To ensure that your website and APIs have high availability, synthetic monitoring enables you to constantly test your website’s uptime and the provided functionality. By scheduling automated API calls and headless browser sessions, you can be assured that your website is up and running at any time and from anywhere in the world. + +Synthetic monitoring is a proactive approach to ensure your application works as expected and enables you to receive timely alerts in case something is wrong. + +### What advantages does synthetic monitoring have over older monitoring techniques? + +Contrary to older and passive monitoring methods, synthetic monitoring enables you to be proactive and leverage automation scripts to test your application and infrastructure. + +Make API calls or simulated browser sessions to constantly test and monitor your application, gather performance metrics, and most importantly be certain that your application and the underlying infrastructure perform like they’re supposed to. + +Thanks to synthetic monitoring you’ll get alerted and know about issues before your customers do! + +### How do passive and synthetic monitoring differ? + +Passive monitoring observes and monitors existing traffic and user interactions. It’s a reactive approach to analyze performed actions and traffic to identify potential issues. Passive monitoring looks at and analyzes existing traffic and it doesn’t lead to any additional requests or browser sessions. + +Synthetic or active monitoring simulates user actions such as making API calls or performing a browser session with a real browser. Synthetic monitoring is a proactive approach to test if an application is working correctly globally at all times. + +### How are performance metrics specifically captured and analyzed in synthetic monitoring? + +Synthetic monitoring enables the collection and capturing of critical performance metrics. + +Synthetic [API monitoring](https://www.checklyhq.com/blog/what-is-api-monitoring/) performs your predefined API calls and collects performance metrics such as Time to first byte (TTFB) or DNS resolution time. It enables you to define thresholds to capture performance regressions and get alerted when your APIs become slower over time. + +Synthetic end-to-end monitoring simulates real browser sessions that perform application user flows like buying a product or logging into an account. While navigating your website, common frontend performance metrics such as load time or core web vitals such as largest contentful paint (LCP) and total blocking time (TBT) will be gathered and visualized to discover slow-performing frontends. + +Visualized and captured performance metrics on the API and UI level provide clear insights into user experience and allow you to notice and prevent performance regressions before they become an issue. \ No newline at end of file diff --git a/site/content/learn/monitoring/synthetic-transaction-monitoring.md b/site/content/learn/monitoring/transaction-monitoring.md similarity index 98% rename from site/content/learn/monitoring/synthetic-transaction-monitoring.md rename to site/content/learn/monitoring/transaction-monitoring.md index eb52e0b2e..d68e5b19e 100644 --- a/site/content/learn/monitoring/synthetic-transaction-monitoring.md +++ b/site/content/learn/monitoring/transaction-monitoring.md @@ -1,8 +1,8 @@ --- -title: Synthetic Transaction Monitoring - Components, Benefits & Challenges -displayTitle: What is Synthetic Transaction Monitoring? -navTitle: Synthetic Transaction Monitoring -description: Explore the what and why of synthetic monitoring. +title: Transaction Monitoring - Components, Benefits & Challenges +displayTitle: What is Transaction Monitoring? +navTitle: Transaction Monitoring +description: Explore transaction monitoring for application developers and SREs. date: 2024-12-15 author: Nocnica Mellifera githubUser: serverless-mom diff --git a/vercel.json b/vercel.json index b15a37d29..39f053cb6 100644 --- a/vercel.json +++ b/vercel.json @@ -134,6 +134,7 @@ { "source": "/learn/monitoring/defining-mttr/(/)?", "destination": "/learn/incidents/defining-mttr/", "permanent": true }, { "source": "/learn/monitoring/mttr-challenges/(/)?", "destination": "/learn/incidents/mttr-challenges/", "permanent": true }, { "source": "/learn/monitoring/dora-metrics/(/)?", "destination": "/learn/incidents/dora-metrics/", "permanent": true }, - { "source": "/learn/monitoring/reduce-mttd/(/)?", "destination": "/learn/incidents/reduce-mttd/", "permanent": true } - ] + { "source": "/learn/monitoring/reduce-mttd/(/)?", "destination": "/learn/incidents/reduce-mttd/", "permanent": true }, + { "source": "/learn/monitoring/synthetic-transaction-monitoring/(/)?", "destination": "/learn/monitoring/transaction-monitoring/", "permanent": true } + ] }