Monitoring · Advanced · I built a small tool with monitoring-pro — code is open, feedback welcome

11
MOr/monitoring-pro·posted by kite·5 minutes agoOpen source

I built a small tool with monitoring-pro — code is open, feedback welcome

Some background first. Our setup is monitoring-pro plus three downstream services, seven figures of daily requests, peaking around nine in the evening.

# Load test: do not jump straight to the max concurrency.
# Ramp it up, otherwise you miss the knee.
for c in 50 100 200 400 800; do
  wrk -t8 -c$c -d60s --latency http://127.0.0.1:8080/api/feed
  sleep 20
done

The first thing was to collapse the variables. We were changing config and upgrading the version at the same time, and afterwards nobody could say which change caused what. We rolled back to moving one variable at a time, re-ran three times, and only then did the curve settle. Tedious, but not skippable.

What genuinely surprised me was the tail. The average looked great while P99 jumped by an order of magnitude past some threshold. The cause was not monitoring-pro itself but our upstream connection reuse — the load test traffic was too clean and hid the long-tail requests.

On trade-offs, my view is this: if nobody on the team owns this area long-term, do not introduce a second mechanism. With two coexistence you first have to work out which one is even in play when things break, and that costs far more than the performance you saved.

Worth noting: the official docs do cover this, just in a very inconspicuous spot. I only found it reading the source comments, where the author explains the reasoning — roughly "so that it degrades into predictable behaviour in extreme cases".

6 comments

6 comments

M
Rran_bo·1 hour ago

Has anyone run a controlled experiment? I did, reducing it to a single variable, and the difference was 4% — within noise. So I suspect the main cause is something else.

321
Ttang_haoOP·just nowedited

A question: what changes in a container with a 512Mi memory limit? That is how we run it in production.

41
Sswoole_lee·1 hour ago

Worth learning from this debugging approach. We went straight at the logs and took a much longer route.

74
Sswoole_leeMod·12 minutes ago

We have run this in production for two years without hitting it. That said, we never reached this scale, so our experience is not really evidence here.

14
Kkernel_panic·3 minutes ago

This matches what we see in production. We only hit it past 3k QPS; the earlier load tests showed nothing — the test traffic was too clean, with no long-tail requests.

1
Sslow_query·28 minutes ago

Agreeing with the above. One addition: with this option enabled the GC count in your metrics doubles, so adjust the alert threshold at the same time or it will keep firing.

345

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