Episode
Locust Performance Testing with AI and Observability with Lars Holmberg
- Podcast
- TestGuild Automation Podcast
- Published
- Jan 13, 2026
- Duration seconds
- 1803
- Processing state
not_requested
Actions
POST https://stenobird.com/v1/public/podcasts/testguild-automation-podcast-318740/episodes/locust-performance-testing-with-ai-and-observability-with-lars-holmberg/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/testguild-automation-podcast-318740/locust-performance-testing-with-ai-and-observability-with-lars-holmberg.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
Performance testing often fails for one simple reason: teams can't see where the slowdown actually happens. In this episode, we explore Locust load testing and why Python-based performance testing is becoming the go-to choice for modern DevOps, QA, and SRE teams. You'll learn how Locust enables highly realistic user behavior, massive concurrency, and distributed load testing — without the overhead of traditional enterprise tools. We also dive into: Why Python works so well for AI-assisted load testing How Locust fits naturally into CI/CD and GitHub Actions The real difference between load testing vs performance testing How observability and end-to-end tracing eliminate guesswork Common performance testing mistakes even experienced teams make Whether you're a software tester, automation engineer, or QA leader looking to shift-left performance testing, this conversation will help you design smarter tests and catch scalability issues before your users do.