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From 200ms to 100ms: Our Go Optimization Journey That Saved Millions
- In a crisis where their main API was crawling at 200ms, the team optimized their Go application's compiler optimizations to improve performance significantly.
- Issues like string concatenation inefficiencies and interface boxing were identified as bottlenecks.
- By optimizing their build process, string handling, interface usage, and JSON responses, they achieved remarkable performance gains.
- Implementing sync.Pool for object pools and smarter slice allocations further reduced overhead and improved efficiency.
- With compiler directives, build tags, and other optimizations, they saw an average response time improvement from 200ms to 95ms, along with reduced memory and CPU usage.
- Lessons learned included the impact of small changes, guiding the compiler for better memory management, the magic of PGO, and the importance of build flags.
- The article highlights the significance of updating to Go 1.24, fixing build processes, profiling, optimizing string handling, using object pools, implementing build tags, and compounding optimizations for substantial performance gains.
- Optimizations in the Go application led to considerable speed improvements across different APIs without altering business logic.
- The article emphasizes the importance of understanding and leveraging Go's compiler optimizations and tooling for enhanced performance.
- By focusing on compiler flags and code patterns, the team achieved a 50% performance improvement in their Go application.
- Implementing these optimization strategies can lead to cost savings on infrastructure and increased user satisfaction.
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