REST API microservice in Go

A production-ready REST API boilerplate built with Go, featuring MongoDB integration, comprehensive middleware, flight recorder tracing, and modern development practices.

β¨ Highlights
- π Production-Ready: Graceful shutdown, health checks, structured logging
- π Security-First: OWASP compliant, multi-tier auth, security headers
- π Observability: Flight recorder tracing, Prometheus metrics, pprof profiling
- π§ͺ Test Coverage: 70%+ coverage threshold with parallel testing
- π³ Docker-Ready: Multi-stage builds with BuildKit optimization
- π Well-Documented: OpenAPI 3 specification with Postman collection
π Quick Start
# Clone and start
git clone https://github.com/rameshsunkara/go-rest-api-example.git
cd go-rest-api-example
make start
# Your API is now running at http://localhost:8080
curl http://localhost:8080/healthz
π Table of Contents
π― Key Features
API Features
- OWASP Compliant Open API 3 Specification: Refer to OpenApi-v1.yaml for details.
- Production-Ready Health Checks:
/healthz endpoint 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
Go Application Features
- 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:
/healthz endpoint 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.
ποΈ Architecture
π Folder Structure
go-rest-api-example/
βββ main.go
βββ internal/ # Private application code
β βββ config/ # Configuration management
β βββ db/ # Database repositories and data access
β βββ errors/ # Application error definitions
β βββ handlers/ # HTTP request handlers
β βββ middleware/ # HTTP middleware components
β βββ models/ # Domain models and data structures
β βββ server/ # HTTP server setup and lifecycle
β βββ utilities/ # Internal utilities
β βββ mockData/ # Test and development data
βββ pkg/ # Public packages (can be imported)
β βββ logger/ # Structured logging utilities
β βββ mongodb/ # MongoDB connection management
βββ localDevelopment/ # Local dev setup (DB init scripts, etc.)
βββ Makefile # Development automation
βββ Dockerfile # Container image definition
βββ docker-compose.yaml # Local development services
βββ OpenApi-v1.yaml # API specification
βββ OpenApi-v1.postman_collection.json
β‘οΈ Control Flow
flowchart 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.
π Getting Started
Prerequisites
Start the Application
git clone https://github.com/rameshsunkara/go-rest-api-example.git
cd go-rest-api-example
make start
Your API is now running at http://localhost:8080
Try it out:
curl http://localhost:8080/api/v1/healthz
curl http://localhost:8080/api/v1/orders
π Available Commands
Essential Commands
start Start all necessary services and API server
run Run the API server (requires dependencies running)
setup Start only dependencies (MongoDB)
test Run tests with coverage
Development Commands
lint Run the linter
lint-fix Run the linter and fix issues
trace Analyze a trace file (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
CI/CD Commands
build Build the API server binary
ci-coverage Check if test coverage meets the threshold
format Format Go code
version Display the current version of the API server
Docker Commands
docker-build Build the Docker image
docker-start Build and run the Docker container
docker-clean Clean all Docker resources
π‘ Tip: Run make help to see all available commands.
Additional Prerequisites for Development
| Category |
Technology |
| Web Framework |
Gin |
| Logging |
zerolog |
| Database |
MongoDB |
| Container |
Docker + BuildKit |
| Tracing |
Go 1.25 Flight Recorder |
| Profiling |
pprof |
π Additional Resources
Roadmap
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
Nice to Have
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
References
π€ Contribute
Contributions are welcome! Here's how you can help:
π Why This Project?
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.
In the age of Copilot and Cursor, you might wonder: "Why another REST API boilerplate?"
Fair question. But this isn't just another "Hello World" REST APIβthis is about building for enterprise.
What Makes It Different
This project strikes a balance between simplicity and production-readiness:
β
Just Right: Not too bloated, not too minimal
β
Best Practices: Follows Go idioms and patterns
β
Production-Tested: Battle-tested patterns from real-world applications
β
Flexible: Easy to customize for your specific needs
In enterprise software, it's not always about raw performance alone. It's about building systems that:
- Scale with your team: Code that's readable by engineers at all skill levels, not just the most experienced
- Enable safe changes: Clear boundaries between components so changes don't cascade unexpectedly, with each layer independently testable
- Prevent bad practices: Built-in guardrails that guide developers toward correct patterns
- Simplify troubleshooting: When issues hit production (and they will), you can diagnose them quickly
- Measure what matters: Easy performance profiling and metrics collection without major refactoring
- Support evolution: Adding new features doesn't require rewriting existing code
- Delight developers: New team members become productive in minutes, not days
What This Is NOT
β A complete e-commerce solution
β A framework that does everything for you
β 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.
β If you find this helpful, please consider giving it a star! β