golang-pro

Scalable Go microservices require mastering goroutines, channels, and worker pools alongside clean architecture patterns. This involves implementing proper context usage for cancellation and designing domain-driven services that handle parallelism safely while remaining production-ready.

Go performance optimization involves executing profiling and benchmarking tests to identify bottlenecks. You analyze memory allocations and CPU usage, then apply GC tuning and concurrency adjustments to achieve measurable improvements in high-throughput services.

Generics in Go 1.21+ enable type-safe, reusable data structures and functions without reflection. They simplify clean and hexagonal architecture implementations by reducing boilerplate code in domain layers and repository definitions.

Yes, Go workspaces manage multi-module repositories for microservices, while the embed package bundles static assets directly into binaries. Together they streamline containerized deployment and simplify CI/CD pipelines.

Database connection pooling in Go services requires configuring max connections and timeouts for SQL or NoSQL integrations. Migrations must be version-controlled and executed during deployment to ensure schema consistency across microservices.

Goroutine leaks often occur when channels block without cancellation signals. You fix this by propagating Go context with timeouts and ensuring worker pools properly close channels and terminate goroutines during shutdown or failure.