Benchmarks

1 Million RPS Stress Test

We performed an extreme pressure test (1M RPS target for 30s with 500KB tasks) to compare the adaptive pool against naive goroutine spawning.

Metric	Naive (No Pool)	Adaptive Pool
Peak RAM Usage	50.86 GB	1.41 GB
Average Latency	2,063 ms	161 ms
Peak Goroutines	104,473	5,002
Reliability	Fails Under Load	Rock Solid

Why the Pool Wins: Under extreme load, the Naive approach causes a “Goroutine Explosion” and “Memory Bomb” that forces the Go runtime into constant Garbage Collection, leading to unusable 2-second latencies. The go-adaptive-pool shields your system by enforcing backpressure and resource caps.

Run the comparison yourself:

make run-comparison

Micro-Benchmarks

Run standard micro-benchmarks:

go test -bench=. -benchmem -benchtime=10s

Sample micro-benchmark results:

BenchmarkPoolThroughput/workers=8-10     500000    2341 ns/op    128 B/op    3 allocs/op
BenchmarkAdaptivePool-10                 300000    3892 ns/op    256 B/op    5 allocs/op
BenchmarkNaiveGoroutines-10              200000    8234 ns/op    512 B/op   12 allocs/op