go-performance

CPU and memory profiling identifies performance bottlenecks in Go applications. This Skill provides practical patterns and tooling guidance to profile running services, detect hotspots, and apply memory management optimizations to improve throughput and reduce latency.

Benchmarking in Go measures code performance and catches regressions. This Skill guides you through running benchmarks and performance regression checks, helping you validate optimization results and maintain service performance over time.

Escape analysis determines which variables allocate on the heap versus the stack, directly impacting memory optimization. This Skill provides guidance on interpreting escape analysis results to reduce allocations and apply effective memory management patterns.

Yes, pprof profiling applies to server-side Go services, microservices, and CLI tools. This Skill covers CPU and memory profiling techniques that work across different Go application types to identify hotspots and guide improvements.

High memory usage in Go often stems from unnecessary heap allocations. This Skill helps you profile memory, apply escape analysis guidance, and implement memory optimization best practices to reduce allocation overhead and improve application performance.