performance-profiling

Profile a Go microservice using pprof to capture CPU, memory, and goroutine metrics to pinpoint performance hotspots. This Skill analyzes profiling data to identify inefficient code paths causing CPU spikes and slow response times under load.

The best way to benchmark Go code paths is using the go test -bench command. This Skill guides you in writing and running benchmarks to measure performance, ensuring you can verify improvements after optimizing slow functions or excessive allocations.

You can load test a Go service by simulating user traffic with tools like K6 or vegeta. This Skill integrates these utilities to stress test your microservice, revealing slow response times and resource utilization issues under heavy load.

Yes, you can use pprof to analyze high memory usage in a Go application. This Skill leverages pprof profiling to inspect memory allocation patterns, helping you find and fix excessive allocations that degrade microservice performance.

You need load testing tools like K6 or vegeta to comprehensively optimize Go microservice performance. This Skill requires these utilities alongside Go's built-in pprof and go test -bench to simulate traffic and analyze CPU and memory metrics.