Open-Source Performance Testing with JMeter, Locust, and Lighthouse

In today's fast-paced digital landscape, slow applications lose users instantly. Understanding how to measure, analyze, and optimize your application's speed and stability under heavy traffic is an essential skill for developers and quality assurance professionals. This text-only course guides you from the absolute basics of performance engineering to executing your first simulated traffic scenarios. You will gain a clear, practical understanding of how to choose, configure, and run tests using the most popular open-source tools in the industry. What you'll learn: - Understand core performance testing concepts, including response times, throughput, latency, and system bottlenecks. - Configure and run simulated user traffic scenarios using JMeter's robust testing interface. - Write developer-friendly, code-based load tests using Python-based Locust. - Analyze web page performance, accessibility, and Core Web Vitals using Lighthouse. - Interpret test results to identify resource constraints and optimize application speed. - Explore how performance checks integrate into modern automated deployment pipelines. We begin with essential terminology and foundational testing methodologies before moving into step-by-step written walkthroughs for configuring and executing tests with JMeter, Locust, and Lighthouse. This course is designed for beginner QA specialists, developers, and system administrators looking to start with performance testing, requiring no prior testing experience. Start reading today to build faster, more reliable web applications.