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Go Optimization Guide
Patterns and Techniques for Writing High-Performance Applications with Go
Whether you're building high-throughput APIs, microservices, or distributed systems, this series offers practical patterns, real-world use cases, and low-level performance insights to guide your optimization efforts. Using sync.Pool effectively Avoiding unnecessary allocations Struct layout and memory alignment Efficient error handling Zero-cost abstractions with interfaces In-place sorting and slices reuse Backend engineers optimizing Go services in production Developers working on latency-sensitive systems Teams migrating to Go and building performance-critical paths Anyone curious about Go’s performance model and trade-offs
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