golang-performance

Use pprof to profile Go applications by importing the net/pprof package and accessing profiling endpoints. pprof captures CPU hotspots, memory allocations, and goroutine data, which you analyze with go tool pprof to identify bottlenecks in your services or command-line tools.

Reduce allocations by preallocating slices with known capacity, reusing objects via sync.Pool, and avoiding unnecessary heap escapes. These techniques lower garbage collection pressure and improve throughput in production applications handling high request volumes.

Use buffered channels and goroutine pools to process tasks concurrently without spawning unbounded goroutines. Worker pool patterns limit resource consumption, improve latency predictability, and scale throughput in server applications and long-running services.

Escape analysis determines whether variables are allocated on the stack or heap. Stack allocations are faster and don't trigger garbage collection; understanding escape analysis helps you redesign code to keep allocations on the stack and reduce GC overhead.

Yes, pprof provides CPU, memory, and goroutine profiling suited for production environments. Combined with observable metrics collection, pprof data reveals latency hotspots and throughput constraints in HTTP servers and background workers.

Optimize when profiling reveals CPU or memory hotspots impacting latency or causing excessive garbage collection. Start with pprof diagnosis to confirm the bottleneck exists before investing in concurrency tuning, allocation reduction, or escape analysis fixes.