HackerTrans
TopNewTrendsCommentsPastAskShowJobs

sanchez_c137

no profile record

Submissions

[untitled]

1 points·by sanchez_c137·5 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·5 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·5 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·5 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·5 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·6 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·6 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·6 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·6 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·6 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·6 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·6 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·6 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·7 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·7 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·7 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·7 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·7 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·7 ay önce·0 comments

[untitled]

1 points·by sanchez_c137·7 ay önce·0 comments

comments

sanchez_c137
·5 ay önce·discuss
A high-throughput HTTP/1.1 load generator written in Go and built directly on top of cloudwego/netpoll.

This project is designed to push maximum possible request rate with:

strict control over memory usage predictable latency behavior long-running stability under extreme concurrency
sanchez_c137
·9 ay önce·discuss
Did JetBrains and Chrome apps leak too? Or were they just RAM-hungry and didn't leak?
sanchez_c137
·9 ay önce·discuss
Telegram: @gl_c137 Email: [email protected]
sanchez_c137
·9 ay önce·discuss
Throughput: 160–170k RPS locally; ~250k RPS sustained on 24‑core bare‑metal with a 50GB cache. Memory safety: 1.5–3GB overhead at 50GB (no traces); ~7GB at 100% OTEL sampling. Hot path discipline: zero allocations, sharded counters, per‑shard LRU, TinyLFU admission. Control plane: runtime API for toggles (admission, eviction, refresh, compression, observability). Observability: Prometheus/VictoriaMetrics metrics + OpenTelemetry tracing. Kubernetes‑friendly: health probes, config via ConfigMap, Docker image.