~/talk

Storing Continuous Benchmarking Data in Prometheus

slides:none on file

Argues that embedding Prometheus metrics for inputs and outputs into benchmark runners captures application, infra and load parameters together so you can query why performance changes; implements a setup that keeps benchmarks ephemeral but sends all metrics to a long‑lived Prometheus/ Promscale stores historical runs, reused by Grafana dashboards; uses prombench to spin up clusters and reproduces benchmarks end‑to‑end; outcome: retrospective analysis and organized run metadata, and it forces better observability.

AI-written summary · about

  1. 0:00Intro
  2. 0:11Benchmarking How do you do it?
  3. 3:50Architecture
  4. 6:10Storing Results
  5. 8:52Reuse your 011y
  6. 11:26Summary
  7. 12:27Getting started
  8. 14:03We're Hiring!
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