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Fewer Goroutines, 1M RPS: Go's Hidden Scaling Trick

Spawning goroutines like confetti? That's your crash waiting to happen. A fixed worker pool flips the script, handling 1M requests/second with tiny memory footprint.

DevTools Feed Apr 03, 2026 3 min read
Benchmark graph: Go worker pool vs naive goroutines, showing 85% RAM reduction at 50k requests

⚡ Key Takeaways

  • Limit goroutines to a fixed pool: fewer beats more for high RPS.
  • Optimal workers = (CPU cores × 2) + I/O ops; buffer 5-10x workers.
  • Backpressure via bounded queues prevents overload — add TrySubmit for rejects.
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#Go concurrency #goroutines #performance optimization #worker pool

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Originally reported by dev.to

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