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Performance14 min read

Performance Testing: From Zero to Production

How I built a performance testing suite that identified 3 critical bottlenecks before production and improved API response times by 40%.

By Jason TeixeiraDecember 28, 2023
LocustJMeterPerformance TestingPython
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When I started building performance tests for a trading platform, there was zero load testing in place. Here's how I built a comprehensive load testing suite designed to catch production-breaking issues before they happen.

The Wake-Up Call

Three months into production, our trading platform crashed during market open:

  • 500+ users hit the API simultaneously
  • Response times: 200ms → 45 seconds
  • Database connections maxed out
  • $2M in potential trades lost

We had no idea what our capacity limits were. I was tasked with fixing this.

Phase 1: Establishing Baselines

Before load testing, you need to know normal behavior:

\

Reader route

article -> proof -> offer

ReadClusterProofScope

cluster

Testing & QA

intent

Performance

route

next step

What to do with this

Turn the note into a build path.

If this topic maps to a real business problem, keep reading the cluster, study the academy path, or route the work into a scoped engagement.

Jason Teixeira
Written by
Jason Teixeira
Founder, Sage Ideas Studio · Principal Engineer
livebuild a1556e22026-06-19 03:29Z
// solo studio// no analytics resold// every commit human-reviewed