- Create monorepo structure with backend services, frontend, and infrastructure directories
- Set up PostgreSQL with separate schemas for each microservice
- Configure Docker Compose environment with logging and health checks
- Implement Spring Boot microservices (user, accounts, transactions, api-gateway)
- Add JWT authentication, database persistence, and initial OpenTelemetry instrumentation
- Create comprehensive test suites with >80% code coverage
- Build Next.js frontend with TypeScript and authentication context
- Implement responsive UI components for all banking operations
- Integrate with backend APIs using comprehensive error handling
- Complete backend testing suite (unit, integration, API tests)
- Frontend testing with Jest, React Testing Library, and Playwright E2E tests
- Achieve >80% test coverage across all services
- API Route Testing with Proxymock: Set up proxymock server with predefined responses for all API endpoints to enable direct testing of Next.js API routes without database dependencies
- Backend Test Fixes: Resolved JWT configuration issues in accounts-service by removing OAuth2 resource server configuration and using consistent custom JWT filter approach across all services
- Deploy and configure a robust OpenTelemetry instrumentation across all services
- Set up Jaeger, Prometheus, and Grafana monitoring stack
- Configure and verify distributed tracing and custom business metrics
- Create optimized Docker images with multi-stage builds and security hardening
- Refactor API endpoints for consistent resource-based structure
- Validate containerized environment with comprehensive integration testing
- Create production-ready Kubernetes manifests with RBAC, ConfigMaps, and Secrets
- Deploy and debug full stack on minikube with automated scripts
- Build comprehensive E2E test client validating core authentication workflows
- Set up GitHub Actions for automated building and testing with multi-architecture Docker images (ARM/AMD)
- Configure Docker image registry with proper tagging, versioning, and optimize Spring Boot startup times
- Simplify API Gateway routing architecture by eliminating complex path rewriting and implementing transparent proxy pattern
- OpenTelemetry pure implementation (disabled Speedscale dependency)
- Clean trace filtering removing health check noise
- Fixed frontend CI test failures (Jest/Playwright separation)
- Standardized OTel configuration across all services
- E2E testing framework with Playwright
- Fixed Cross-Application Trace Propagation: Resolved issues preventing trace IDs from propagating between pods by:
- Fixed frontend trace context generation using proper W3C Trace Context format
- Added Spring Cloud Gateway trace propagation configuration with TraceIdInjectionFilter
- Updated RestTemplate configurations in backend services to use RestTemplateBuilder for automatic trace propagation
- Standardized OpenTelemetry endpoints across all services (using otel-collector)
- Created trace propagation filter for API Gateway to ensure proper header forwarding
- Added comprehensive trace propagation test script to verify end-to-end tracing
- Production Kubernetes Deployment
- Deploy to production cluster with SSL/TLS and ingress
- Production monitoring, backup, and disaster recovery
- Security Hardening
- Service-to-service authentication
- Rate limiting and CORS hardening
- JWT improvements (refresh tokens, rotation)
- Security headers and input validation
- Observability Fine-tuning
- Custom business metrics and Grafana dashboards
- Performance monitoring and alerting
- Enhanced banking features (account types, transaction categories)
- Performance optimizations (caching, database tuning)
- API documentation and security audit
- Load testing and production validation
- All services running and communicating properly
- Users can register, login, and manage accounts
- Full observability with tracing and metrics
- All tests passing (unit, integration, E2E)
- Security requirements met (JWT, HTTPS, input validation)
- Kubernetes manifests created and tested on minikube/Colima
- CI/CD pipeline operational with image registry
- System ready for production deployment
- OpenTelemetry tracing fully functional with pure implementation (no Speedscale dependency)
- Clean trace filtering removing health check noise while preserving business transaction visibility
- Application deployed to production Kubernetes with security hardening
- Production monitoring, performance optimization, and security audit complete
- Advanced features and load testing validated