The Go App Optimization Series provides practical advice and techniques for writing high-performance Go applications, targeting developers working on APIs, microservices, and distributed systems. Despite Go not having as many performance tuning options as languages like C++ or Rust, there are still ways to significantly improve application speed. The series covers topics such as memory reuse, efficient networking, and concurrency patterns, offering concrete techniques with measurable impact. The first article focuses on important performance patterns, with examples and benchmarks. Future articles will delve into high-performance networking, including efficient use of standard libraries and techniques for managing concurrent connections. This series is ideal for backend engineers, developers of latency-sensitive systems, and those interested in Go’s performance capabilities.
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