• Go App Optimization Guide: A collection of technical articles to help developers write faster and more efficient Go applications, suitable for various scenarios like high-throughput APIs, microservices, and distributed systems.
• Go offers performance opportunities: Though not as many knobs as C++ or Rust, Go provides many ways to make applications significantly faster, including memory reuse, allocation control, efficient networking, and concurrency patterns.
• Common Go Patterns for Performance: In the first article, explores curated high-impact performance patterns every Go developer should know, such as using sync.Pool, avoiding unnecessary allocations, struct layout and memory alignment, efficient error handling, zero-cost abstractions with interfaces, and in-place sorting and slices reuse, with practical use cases and benchmarks.
• What's Coming Next: Upcoming deep dive into networking, focusing on building high-throughput network services with Go's standard library and beyond, including efficient use of net/http and net.Conn, managing concurrent connections, performance tuning with epoll/kqueue and GOMAXPROCS, load testing techniques and bottleneck diagnostics, and when to use lower-level libraries like fasthttp while balancing performance and maintainability.
• Who This Is For: Ideal for backend engineers optimizing Go services in production, developers working on latency-sensitive systems, teams migrating to Go and building performance-critical paths, and anyone curious about Go's performance model and trade-offs.