Load Testing with Locust: Python-Based Performance Engineering

Scaling applications to handle thousands of concurrent users requires robust, developer-friendly performance testing. Traditional, heavy GUI-based testing tools often fall short when integrated into modern development workflows. This text-based course guides you from the absolute basics of performance testing to writing highly scalable, code-driven load tests using Locust and Python. By the end of this course, you will gain the skills to write clear test scripts, simulate realistic user behavior, and identify system bottlenecks. You will learn to treat your performance tests as code, making them easily maintainable and highly customizable. What you'll learn: - Understand foundational performance testing concepts and key metrics like latency, throughput, and error rates. - Write clean, maintainable Locust test scripts using modern Python conventions. - Simulate complex user behaviors, task sequences, and realistic request distributions. - Configure distributed load testing to scale simulations across multiple worker nodes. - Analyze real-time performance metrics and interpret test data for reporting. - Integrate load tests into modern CI/CD pipelines for automated performance regression testing. The course starts with essential performance testing terminology and basic Locust setup, then progresses through writing custom user behaviors, handling dynamic data, and configuring distributed test environments. You will learn through clear written explanations, practical code snippets, and structured practice exercises. This course is designed for QA engineers, developers, and system administrators who are new to performance testing or transitioning from legacy GUI-based tools. No prior performance testing experience is required, and the material begins with foundational concepts before moving to practical script writing. Start building fast, reliable, and scalable load tests today.