Locust Performance Testing with AI and Observability with Lars Holmberg

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.

You can listen to Locust Performance Testing with AI and Observability with Lars Holmberg online on Radio and Podcast. Open the player on this page to stream the available audio.

Locust Performance Testing with AI and Observability with Lars Holmberg is an episode from TestTalks | Automation Awesomeness | Helping YOU Succeed with Test Automation by Joe Colantonio.

This episode is 30:03 long.

This episode was published on Jan 13, 2026.

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