golang-backend-development

Go's goroutines and channels enable efficient concurrent REST APIs. Use the standard `net/http` package to create an HTTP server, define route handlers, and leverage goroutines to process requests concurrently without manual thread management. Go automatically manages concurrency overhead, making high-performance web services straightforward.

Design microservices in Go using gRPC or HTTP for inter-service communication, implement service discovery patterns, and apply resilience techniques like timeouts and retries. Go's lightweight concurrency model and fast compilation make it ideal for building scalable, loosely-coupled microservices that communicate efficiently.

Goroutines and channels are Go's core concurrency primitives. Use channels for safe communication between goroutines, implement proper synchronization with WaitGroups, and add context-based cancellation for graceful shutdown. Production patterns include goroutine pooling, error handling, and monitoring to prevent leaks and deadlocks.

Go backends require unit tests using the standard `testing` package, benchmarking for performance validation, and integration tests for service interactions. For deployment, containerize with Docker, implement health checks and metrics, add structured logging, and set up monitoring to ensure production-readiness and observability.

Yes. Go's concurrency model suits WebSocket servers well. Use libraries like `gorilla/websocket` to handle persistent connections, leverage goroutines for per-client message handling, and use channels for broadcasting. Go's efficiency handles thousands of concurrent connections with minimal resource overhead.

Use database drivers and connection pooling libraries to manage concurrent database access safely. Go's concurrency patterns integrate seamlessly with SQL queries; use goroutines for parallel queries and channels for result aggregation. Implement retry logic and timeouts to handle connection failures gracefully.