Locust Performance Testing with AI and Observability

Locust Performance Testing with AI and Observability 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. 📑 Get 10 quick & actionable test automation tips I've compiled after interviewing over 500+ testing thought leaders👇 https://testguild.com/10tips ------------------------------------------------------------------ 🔎 Find out your automation testing score by taking the simple 6-Step Automation Testing Assessment Quiz👇 https://testguild.com/score This assessment is designed to inform you about what areas of your automation testing SDLC you need to improve on 📊 ------------------------------------------------------------------ Access more BONUS content from TestGuild: ✅ Mini-Courses / Tutorials: https://testguild.com/training-courses/ ✅ Training Sessions: https://testguild.com/webinars/ ✅ Automation | DevOps | Security Testing Podcasts: https://testguild.com/podcasts/ ------------------------------------------------------------------ 📚 Get My “Read 1-Page/day” Automation Awesomeness Book Now👇 https://testguild.com/automationbook/ Join the Test Guild Family