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Development Roadmap: SupplyBoost

Version: 1.0 Last Updated: 2025-11-09 Planning Horizon: 12 weeks (3 months) Status: Planning Phase

Table of Contents

  1. Roadmap Overview
  2. Release Strategy
  3. Phase 1: Foundation (Weeks 1-4)
  4. Phase 2: Core Features (Weeks 5-8)
  5. Phase 3: Production Readiness (Weeks 9-12)
  6. Future Enhancements
  7. Risk Mitigation

1. Roadmap Overview

1.1 Goals

This roadmap guides the development of SupplyBoost from initial repository restructuring to a production-ready, demonstrable supply chain management system.

Success Criteria:

  • ✅ Complete end-to-end user journey (browse → purchase → shipment)
  • ✅ All microservices deployed and communicating
  • ✅ Monitoring and observability in place
  • ✅ Documentation complete and accurate
  • ✅ System deployable via single command

1.2 Phases

Phase Duration Deliverable Target Completion
Phase 1: Foundation 4 weeks Repository structure, CI/CD, core services scaffolding Week 4
Phase 2: Core Features 4 weeks Complete user journeys, business logic implementation Week 8
Phase 3: Production Readiness 4 weeks Monitoring, testing, security, documentation Week 12

1.3 Team Assumptions

  • Developer Capacity: 1 developer (part-time learning project)
  • Weekly Commitment: 15-20 hours
  • Expertise Level: Mid-level with microservices learning curve
  • External Dependencies: Minimal (free-tier services)

2. Release Strategy

2.1 Release Milestones

v0.1.0 - Repository Foundation (End of Week 2)

  • Clean repository structure
  • CI/CD pipeline operational
  • Local development environment (Docker Compose)
  • Sample microservice running

v0.2.0 - MVP Backend (End of Week 6)

  • All microservices scaffolded
  • Authentication working
  • Product catalog with search
  • Order creation flow

v0.3.0 - Full User Journey (End of Week 9)

  • Complete purchase flow end-to-end
  • Payment integration (test mode)
  • Notifications working
  • Basic frontend

v1.0.0 - Production Ready (End of Week 12)

  • Monitoring and logging
  • Security hardening
  • Performance optimization
  • Complete documentation
  • Kubernetes deployment

2.2 Release Criteria

Each release must meet:

  • All automated tests passing (unit + integration)
  • Code review completed (self-review + checklist)
  • Documentation updated
  • Deployment tested in staging environment
  • No critical or high-severity bugs
  • Release notes prepared

Phase 1: Foundation (Weeks 1-4)

Objective: Establish solid foundation for development

Week 1: Repository Cleanup & Planning

Focus: Clean up existing mess, establish structure

Tasks

  • Repository Restructuring (8 hours)

    • Remove 3MB backup bundle from repository
    • Create proper directory structure
    • Initialize submodules OR decide on monorepo
    • Clean up .gitignore
    • Add LICENSE file

  • Documentation (6 hours)

    • ✅ Create PRD.md
    • ✅ Create ARCHITECTURE.md
    • ✅ Create ROADMAP.md
    • Create CONTRIBUTING.md
    • Rewrite README.md professionally
    • Create docs/ADRs/ directory with template

  • Development Environment (4 hours)

    • Create initial docker-compose.yml
    • Add PostgreSQL, Redis, Kafka services
    • Test local stack startup
    • Document environment setup

Deliverables:

  • ✅ Clean, organized repository
  • ✅ Complete planning documents
  • Runnable local development environment
  • Clear contribution guidelines

Success Metrics:

  • New developer can clone and run environment in < 30 minutes
  • All documentation reviewed and approved

Week 2: CI/CD & Project Scaffolding

Focus: Automation and service foundations

Tasks

  • CI/CD Pipeline (8 hours)

    • Create GitHub Actions workflow
    • Automated build (Maven)
    • Unit test execution
    • Code coverage reporting (Codecov/Coveralls)
    • Docker image build and push
    • SonarQube integration (optional)

  • Parent POM Setup (4 hours)

    • Create proper Maven parent POM
    • Define dependency management
    • Configure Spring Boot version
    • Add common plugins (Spotless, Checkstyle)
    • Set Java version (17+)

  • Service Template (6 hours)

    • Create archetype/template for microservices
    • Include: Spring Boot starter, Actuator, Sleuth, Kafka
    • Configure application.yml template
    • Add Dockerfile template
    • Create Kubernetes manifest template

Deliverables:

  • Working CI/CD pipeline
  • Service generation template
  • Automated code quality checks

Success Metrics:

  • CI pipeline completes in < 5 minutes
  • Code coverage baseline established

Week 3: Core Infrastructure Services

Focus: Identity and API Gateway

Tasks

  • Identity & Access Management Service (12 hours)

    • Spring Boot project setup
    • Keycloak Docker container configuration
    • User registration endpoint
    • Keycloak integration (OAuth2 Resource Server)
    • User profile CRUD
    • JWT validation
    • Unit tests (70%+ coverage)
    • API documentation (Swagger)

  • API Gateway (6 hours)

    • Spring Cloud Gateway setup
    • Route configuration
    • JWT authentication filter
    • CORS configuration
    • Rate limiting filter
    • Health check aggregation

Deliverables:

  • Functional identity service
  • API Gateway routing requests
  • Postman/Insomnia collection for testing

Success Metrics:

  • User can register and authenticate
  • JWT tokens validated at gateway
  • API documentation accessible at /swagger-ui

Week 4: Data Services Foundation

Focus: Product Catalog and Inventory

Tasks

  • Product Catalog Service (10 hours)

    • Database schema design and Liquibase migrations
    • Product CRUD endpoints
    • Category management
    • Elasticsearch integration
    • Product search API (full-text + facets)
    • Sample data seeding script
    • Unit + integration tests

  • Inventory Management Service (8 hours)

    • Database schema design
    • Inventory tracking endpoints
    • Reservation logic with locking
    • Kafka event publishing setup
    • Unit tests

Deliverables:

  • Product catalog with 50+ sample products
  • Working search functionality
  • Inventory tracking operational

Success Metrics:

  • Search returns results in < 200ms
  • Inventory reservation prevents race conditions

Phase 1 Review:

  • All foundational services running
  • CI/CD delivering builds automatically
  • Documentation complete and accurate

Phase 2: Core Features (Weeks 5-8)

Objective: Implement complete user purchase journey

Week 5: Shopping & Orders

Focus: Cart and order creation

Tasks

  • Shopping Cart Service (8 hours)

    • Redis-based cart storage
    • Cart CRUD endpoints
    • Price calculation logic
    • Inventory availability check integration
    • Session management
    • Unit tests

  • Order Management Service - Part 1 (10 hours)

    • Database schema design
    • Order creation from cart
    • Order state machine implementation
    • Order CRUD endpoints
    • Saga orchestration setup
    • Unit tests

Deliverables:

  • Functional shopping cart
  • Order creation flow working
  • State machine visualized

Success Metrics:

  • Cart persists across sessions
  • Order creation validates inventory
  • State transitions logged correctly

Week 6: Payments & Shipping

Focus: Complete the order fulfillment pipeline

Tasks

  • Payment Service (10 hours)

    • Stripe SDK integration
    • Payment intent creation
    • Payment confirmation flow
    • Webhook handler for Stripe events
    • Refund processing
    • Mock payment mode for testing
    • Unit tests

  • Shipping Service (6 hours)

    • Shipment creation logic
    • Tracking number generation (mock)
    • Shipment status updates
    • Kafka event publishing
    • Unit tests

  • Order Saga Completion (2 hours)

    • Wire up order → payment → shipping flow
    • Test compensating transactions
    • End-to-end integration test

Deliverables:

  • Payment processing functional (test mode)
  • Shipment creation triggered by payment
  • Complete saga flow tested

Success Metrics:

  • Successful payment triggers shipment
  • Failed payment releases inventory
  • Saga completes in < 3 seconds

Week 7: Notifications & Accounting

Focus: Supporting services

Tasks

  • Notification Service (8 hours)

    • Email template design (Thymeleaf)
    • SendGrid/AWS SES integration
    • Kafka event consumers
    • Notification types: welcome, order confirmation, shipment
    • Email sending with retry logic
    • Unit tests

  • Accounting Service (8 hours)

    • Database schema design
    • Invoice generation logic
    • PDF invoice creation
    • Revenue recognition on shipment
    • Kafka event consumers
    • Unit tests

  • Event Flow Validation (2 hours)

    • End-to-end event tracing
    • Verify all events published/consumed
    • Dead letter queue setup

Deliverables:

  • Automated email notifications
  • Invoice generation working
  • Complete event-driven architecture tested

Success Metrics:

  • Email delivered within 5 seconds of order
  • Invoice PDF generated correctly
  • No messages stuck in queues

Week 8: Frontend Development

Focus: User interface

Tasks

  • Frontend Setup (4 hours)

    • Vue 3 + TypeScript project initialization
    • Vite build configuration
    • Routing setup (Vue Router)
    • State management (Pinia)
    • API client configuration (Axios)

  • Core Pages (12 hours)

    • Login/Registration pages
    • Product listing page with search
    • Product detail page
    • Shopping cart page
    • Checkout page
    • Order confirmation page
    • Order history page

  • Integration (2 hours)

    • Connect to API Gateway
    • JWT token storage and refresh
    • Error handling and user feedback

Deliverables:

  • Functional Vue.js frontend
  • Complete user journey clickable

Success Metrics:

  • User can complete purchase end-to-end via UI
  • Mobile responsive
  • Accessible (WCAG AA basics)

Phase 2 Review:

  • Demo complete user purchase flow
  • All microservices communicating
  • Frontend provides good UX

Phase 3: Production Readiness (Weeks 9-12)

Objective: Harden system for production deployment

Week 9: Observability

Focus: Logging, metrics, tracing

Tasks

  • Centralized Logging (6 hours)

    • ELK/EFK stack setup (Docker Compose + Kubernetes)
    • Structured JSON logging configuration
    • Log aggregation from all services
    • Kibana dashboards for error tracking

  • Metrics & Monitoring (8 hours)

    • Prometheus setup
    • Service instrumentation (Micrometer)
    • Grafana dashboards:
      • Service health overview
      • API latency (p50, p95, p99)
      • Error rates
      • Business metrics (orders/hour)
    • Alert rules configuration

  • Distributed Tracing (4 hours)

    • Jaeger setup
    • Spring Cloud Sleuth configuration
    • Trace key user journeys
    • Identify performance bottlenecks

Deliverables:

  • Complete observability stack
  • Operational dashboards
  • Alerting configured

Success Metrics:

  • All services emitting logs to central store
  • Dashboards show real-time metrics
  • Traces visualize cross-service calls

Week 10: Testing & Quality

Focus: Comprehensive test coverage

Tasks

  • Unit Test Coverage (8 hours)

    • Achieve 70%+ coverage on all services
    • Focus on business logic
    • Mock external dependencies
    • Parameterized tests for edge cases

  • Integration Tests (8 hours)

    • Testcontainers for database tests
    • Kafka integration tests (embedded broker)
    • API contract tests (Spring Cloud Contract)
    • End-to-end journey tests

  • Performance Testing (2 hours)

    • JMeter or Gatling test scripts
    • Load test: 100 concurrent users
    • Stress test: Identify breaking point
    • Generate performance report

Deliverables:

  • Test coverage report
  • Integration test suite
  • Performance test results

Success Metrics:

  • 70%+ code coverage
  • All integration tests passing
  • System handles 100 concurrent users

Week 11: Security & Hardening

Focus: Security best practices

Tasks

  • Security Audit (6 hours)

    • OWASP dependency check
    • Container image scanning (Trivy)
    • Fix identified vulnerabilities
    • Code review for security issues:
      • SQL injection vectors
      • XSS vulnerabilities
      • CSRF protection
      • Insecure deserialization

  • Security Configuration (6 hours)

    • HTTPS/TLS configuration
    • Secure headers (CSP, HSTS, X-Frame-Options)
    • Secret rotation strategy
    • Database encryption for PII
    • Rate limiting fine-tuning

  • Penetration Testing (4 hours)

    • OWASP ZAP automated scan
    • Manual testing of authentication flows
    • Test API authorization rules
    • Document findings and fixes

Deliverables:

  • Security audit report
  • Zero high/critical vulnerabilities
  • Hardened configuration

Success Metrics:

  • No critical security issues
  • All data encrypted in transit and at rest
  • Authentication/authorization thoroughly tested

Week 12: Deployment & Documentation

Focus: Production deployment and knowledge transfer

Tasks

  • Kubernetes Deployment (8 hours)

    • Finalize K8s manifests for all services
    • ConfigMaps and Secrets setup
    • Ingress configuration
    • HPA (Horizontal Pod Autoscaler) setup
    • Test deployment to staging cluster
    • Deployment automation script

  • Operational Documentation (6 hours)

    • Deployment runbook
    • Troubleshooting guide
    • Disaster recovery procedures
    • Monitoring playbook (what alerts mean)
    • Database backup/restore guide

  • Final Polish (4 hours)

    • README.md final review and update
    • Architecture diagrams validation
    • API documentation completeness check
    • Video walkthrough recording (optional)
    • GitHub repository cleanup

Deliverables:

  • Production-ready Kubernetes deployment
  • Complete operational documentation
  • Polished repository ready for showcase

Success Metrics:

  • System deploys to K8s with zero errors
  • New operator can deploy system following docs
  • All user journeys working in production

Phase 3 Review:

  • Production deployment successful
  • All documentation complete
  • System demonstrable to external audience

Future Enhancements

Post-v1.0 Backlog (Not in 12-week scope):

Infrastructure Improvements

  • Multi-region deployment for high availability
  • Service mesh (Istio) for advanced traffic management
  • GitOps with ArgoCD for declarative deployment
  • Chaos engineering experiments (Chaos Mesh)

Feature Additions

  • Product recommendations (ML-based)
  • Advanced search filters (price range, brand)
  • Order modification after placement
  • Wishlist functionality
  • Customer reviews and ratings
  • Promotional codes and discounts
  • Multi-currency support
  • Internationalization (i18n)

Technical Debt

  • Migrate from REST to GraphQL for frontend API
  • Implement CQRS with event sourcing for orders
  • Add materialized views for reporting
  • Mobile native apps (React Native)

Analytics

  • Customer behavior analytics dashboard
  • Sales forecasting
  • Inventory optimization algorithms
  • A/B testing framework

Risk Mitigation

High-Risk Areas

Risk 1: Distributed Transaction Complexity

  • Impact: High (order flow could fail mid-process)
  • Mitigation:
    • Start with simple saga pattern
    • Thorough testing of compensating transactions
    • Idempotency for all operations
    • Extensive logging for debugging

Risk 2: Kafka Learning Curve

  • Impact: Medium (delays in event-driven features)
  • Mitigation:
    • Allocate extra time for Kafka setup
    • Use Docker for local development
    • Start with simple pub/sub before complex patterns
    • Leverage Spring Kafka abstractions

Risk 3: Kubernetes Complexity

  • Impact: Medium (deployment challenges)
  • Mitigation:
    • Start with Docker Compose, migrate gradually
    • Use managed Kubernetes (GKE/EKS) to reduce ops burden
    • Follow K8s best practices guides
    • Use tools like Helm for templating

Risk 4: Time Overruns

  • Impact: High (project may exceed 12 weeks)
  • Mitigation:
    • Strict scope management (MVP only)
    • Weekly progress reviews
    • Parking lot for nice-to-have features
    • Accept technical debt in non-critical areas

Risk 5: Burnout

  • Impact: High (solo project, large scope)
  • Mitigation:
    • Maintain work-life balance (cap at 20 hours/week)
    • Celebrate small wins
    • Take breaks between phases
    • Focus on learning, not perfection

Progress Tracking

Weekly Checkpoint Template

Week X Review:

  • Completed:
    • Task 1
    • Task 2
  • In Progress:
    • Task 3 (80% done)
  • Blocked:
    • Task 4 (waiting on X)
  • Learnings:
    • Key insight 1
    • Challenge faced and resolved
  • Next Week Focus:
    • Priority 1
    • Priority 2

Health Metrics

Metric Target Current Status
Code Coverage >70% TBD 🟡
Build Time <10 min TBD 🟡
Test Pass Rate 100% TBD 🟡
Documentation Completeness 100% 60% 🟡
Open Blockers 0 0 🟢

Status Legend:

  • 🟢 On track
  • 🟡 At risk
  • 🔴 Blocked

Success Criteria (Final Checklist)

Functional Requirements

  • User can register and authenticate
  • User can search and browse products
  • User can add products to cart
  • User can complete checkout and payment
  • User receives order confirmation email
  • User can view order history
  • User receives shipment notification
  • Admin can manage product catalog
  • System handles concurrent orders without race conditions

Technical Requirements

  • All microservices deployed independently
  • CI/CD pipeline delivers changes automatically
  • System runs on Kubernetes
  • Monitoring dashboards operational
  • Distributed tracing working
  • Logs centralized and searchable
  • Security scan shows no critical issues
  • Performance targets met (p95 < 500ms)

Documentation Requirements

  • README enables new developer to run system in <30 min
  • Architecture document complete and accurate
  • API documentation (Swagger) for all services
  • Deployment runbook created
  • ADRs document major decisions

Appendix: Tool & Technology Checklist

Must Have (Week 1-2):

  • Git & GitHub
  • Docker & Docker Compose
  • Java 17+ JDK
  • Maven 3.8+
  • IDE (IntelliJ IDEA / VS Code)

Must Have (Week 3-8):

  • PostgreSQL
  • Redis
  • Elasticsearch
  • Apache Kafka
  • Keycloak
  • Node.js (for Vue.js)

Must Have (Week 9-12):

  • Prometheus
  • Grafana
  • Jaeger
  • ELK/EFK Stack
  • Kubernetes cluster (Minikube/Kind or cloud)
  • kubectl CLI

Optional (Nice to Have):

  • SonarQube
  • JMeter/Gatling
  • Postman/Insomnia
  • Lens (Kubernetes IDE)

Document Owner: Engineering Team Review Cadence: Weekly Next Review: End of Week 1