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Enterprise ready REST API microservice in golang
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rameshsunkara/go-rest-api-example
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A production-ready REST API boilerplate built with Go, featuring MongoDB integration, comprehensive middleware, flight recorder tracing, and modern development practices.
- 🚀Production-Ready: Graceful shutdown, health checks, structured logging
- 🔒Security-First: OWASP compliant, multi-tier auth, security headers
- 📊Observability: Flight recorder tracing, Prometheus metrics, pprof profiling
- 🧪Test Coverage: 70%+ coverage threshold with parallel testing
- 🐳Docker-Ready: Multi-stage builds with BuildKit optimization
- 📝Well-Documented: OpenAPI 3 specification with Postman collection
# Clone and startgit clone https://github.com/rameshsunkara/go-rest-api-example.gitcd go-rest-api-examplemake start# Your API is now running at http://localhost:8080curl http://localhost:8080/healthz
- OWASP Compliant Open API 3 Specification: Refer toOpenApi-v1.yaml for details.
- Production-Ready Health Checks:
/healthzendpoint with proper HTTP status codes (204/424)- Database connectivity validation
- Dependency health monitoring
- Comprehensive Middleware Stack:
- Request Logging: Structured logging with request correlation
- Authentication: Multi-tier auth (external/internal APIs)
- Request ID Tracing: End-to-end request tracking
- Panic Recovery: Graceful error handling and recovery
- Security Headers: OWASP-compliant security header injection
- Query Validation: Input validation and sanitization
- Compression: Automatic response compression (gzip)
- Flight Recorder Integration: Automatic trace capture for slow requests using Go 1.25's built-in flight recorder.
- Standardized Error Handling: Consistent error response format across all endpoints
- API Versioning: URL-based versioning with backward compatibility
- Internal vs External APIs: Separate authentication and access controls
- Model Separation: Clear distinction between internal and external data representations
- Configuration Management: Environment-based configuration with validation
- Graceful Shutdown: Proper signal handling with resource cleanup and connection draining
- Production-Ready MongoDB Integration:
- Connection pooling and health checks
- Functional options pattern for flexible configuration
- SRV and replica set support
- Credential management via sidecar files
- Query logging for debugging
- Comprehensive Health Checks:
/healthzendpoint with database connectivity validation - Structured Logging: Zero-allocation JSON logging with request tracing
- Secrets Management: Secure credential loading from sidecar files
- Effective Mocking: Interface-based design enabling comprehensive unit testing
- Database Indexing: Automatic index creation for optimal query performance
- Idiomatic Go Architecture: Clean separation of concerns with dependency injection
- Parallel Testing: Race condition detection with atomic coverage reporting
- Context-Aware Operations: Proper context propagation for cancellation and timeouts
- Resource Management: Automatic cleanup of connections and resources
- Dockerized Environment: Facilitates service deployment using DOCKER_BUILDKIT.
- Makefile: Automates common tasks for developers.
- GitHub Actions: Automates building, testing, code coverage reporting, and enforces the required test coverage threshold.
- Multi-Stage Docker Build: Accelerates build processes.
go-rest-api-example/├── main.go├── internal/ # Private application code│ ├── config/ # Configuration management│ ├── db/ # Database repositories and data access│ ├── errors/ # Application error definitions│ ├── handlers/ # HTTP request handlers│ ├── middleware/ # HTTP middleware components│ ├── models/ # Domain models and data structures│ ├── server/ # HTTP server setup and lifecycle│ ├── utilities/ # Internal utilities│ └── mockData/ # Test and development data├── pkg/ # Public packages (can be imported)│ ├── logger/ # Structured logging utilities│ └── mongodb/ # MongoDB connection management├── localDevelopment/ # Local dev setup (DB init scripts, etc.)├── Makefile # Development automation├── Dockerfile # Container image definition├── docker-compose.yaml # Local development services├── OpenApi-v1.yaml # API specification└── OpenApi-v1.postman_collection.jsonflowchart LR Request e1@==> Server e1@{ animate: true } Server e2@==> Router e2@{ animate: true } M@{ shape: processes, label: "Middlewares" } Router e3@==> M e3@{ animate: true } C@{ shape: processes, label: "Handlers" } M e4@==> C e4@{ animate: true } R@{ shape: processes, label: "Repos(DAO)" } C e5@==> R e5@{ animate: true } id1[(Database)] R e6@==> id1 e6@{ animate: true }- Request: Server receives the incoming request.
- Server: Server processes the request and forwards it to the router.
- Router: Router directs the request to the appropriate middleware(s).
- Middlewares: The middlewares handle various tasks such as logging, authentication, security headers, tracing etc.,
- Handlers: The request is passed to the appropriate handler, which validates the request and forwards it to the repository layer.
- Repos(DAO): The repository layer communicates with the database to perform CRUD operations.
- Docker andDocker Compose
- Make
git clone https://github.com/rameshsunkara/go-rest-api-example.gitcd go-rest-api-examplemake startYour API is now running athttp://localhost:8080
Try it out:
curl http://localhost:8080/api/v1/healthzcurl http://localhost:8080/api/v1/orders
start Start all necessary services and API serverrun Run the API server (requires dependencies running)setup Start only dependencies (MongoDB)test Run tests with coverage
lint Run the linterlint-fix Run the linter and fix issuestraceAnalyzeatracefile(usage: make trace TRACE_FILE=./traces/slow-request-GET-orders-1234567890.trace)clean Clean all Docker resources (keeps database data)clean-all Clean all Docker resources including volumes (removes database data)coverage Generate and display the code coverage report
build Build the API server binaryci-coverage Check if test coverage meets the thresholdformat Format Go codeversion Display the current version of the API server
docker-build Build the Docker imagedocker-start Build and run the Docker containerdocker-clean Clean all Docker resources
💡Tip: Run
make helpto see all available commands.
- golangci-lint - For linting
- docker-buildx - For multi-platform builds
| Category | Technology |
|---|---|
| Web Framework | Gin |
| Logging | zerolog |
| Database | MongoDB |
| Container | Docker + BuildKit |
| Tracing | Go 1.25 Flight Recorder |
| Profiling | pprof |
Click to expand planned features
- Add comprehensive API documentation with examples
- Implement database migration system
- Add distributed tracing (OpenTelemetry integration)
- Add metrics collection and Prometheus integration
- Add git hooks for pre-commit and pre-push
- Implement all remaining OWASP security checks
Future enhancements
- Enhanced Data Models: Add validation, relationships, and business logic
- Cloud Deployment: Kubernetes manifests and Helm charts
- Advanced Monitoring: APM integration, alerting, and dashboards
- Caching Layer: Redis integration for performance optimization
- Multi-database Support: PostgreSQL, CockroachDB adapters
- Performance Testing: Load testing scenarios and benchmarks
Contributions are welcome! Here's how you can help:
- 🐛Found a bug?Open an issue
- 💡Have a feature idea?Start a discussion
- 🔧Want to contribute code? Fork the repo and submit a PR
After years of developing Full Stack applications using ReactJS and JVM-based languages, I found existing Go boilerplates were either too opinionated or too minimal. This project strikes a balance:
✅Just Right: Not too bloated, not too minimal✅Best Practices: Follows Go idioms and patterns✅Production-Tested: Battle-tested patterns from real-world applications✅Flexible: Easy to customize for your specific needs
❌ A complete e-commerce solution❌ A framework that does everything for you❌ The only way to structure a Go API
This is a solid foundation to build upon. Take what you need, leave what you don't.
⭐ If you find this helpful, please consider giving it a star! ⭐
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