astavonin/go-optimization-guide resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1134 stars · 53 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A long-form technical guide (published at goperf.dev, built with MkDocs Material) covering patterns and techniques for writing high-performance Go applications. It focuses on practical, measured optimizations for real production systems such as high-throughput APIs, microservices, and distributed services.

Use cases

• optimize Go API performance under sustained traffic
• reduce allocation pressure on hot paths in Go
• learn when sync.Pool actually helps
• improve tail latency in distributed Go services
• understand Go runtime scheduling and I/O costs
• tune network programming performance in Go
• reduce garbage collection overhead in Go microservices

When to choose

• you run Go services under real production load and want measured, practical optimization patterns
• you need concrete examples with numbers rather than folklore best practices
• you work on high-throughput APIs, pipelines, or latency-sensitive distributed systems in Go

When to avoid

• your Go code lives only in benchmarks or toy projects
• you need a beginner tutorial on writing Go rather than performance tuning
• you want a tool or library rather than reading material

Facets

learning-resource · maturity active

developer-tools documentation benchmarking developer-tools performance backend tutorials go cli go-performance optimization-guide mkdocs network-programming tail-latency memory-allocations profiling web-server

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markdown · JSON · MCP: product_card(name="astavonin/go-optimization-guide")