
This course is designed for QA Engineers, Performance Test Engineers, Developers, and DevOps professionals who want to build scalable, maintainable performance testing solutions using Locust and Python, with real-time monitoring and observability.
You will learn how to design realistic load and performance tests that simulate actual user behavior, execute them at scale, and analyze system performance using industry-standard monitoring tools.s
Are you ready to take your web application performance to the next level? In this hands-on course, you’ll learn how to build, execute, and monitor performance tests using Locust, a powerful Python-based load testing tool, and Prometheus, an industry-standard monitoring solution. Whether you're a developer, QA engineer, or DevOps professional, this course will equip you with the skills to ensure your applications are scalable, reliable, and performant under real-world conditions.
The course follows a practical, project-driven approach, covering:
Writing modular and reusable Locust test scripts
Organizing realistic user behavior and test scenarios
Identifying common performance bottlenecks
Monitoring key metrics such as latency, throughput, and error rates
Visualizing performance data using Prometheus and Grafana
Automating performance tests using CI/CD pipelines
Executing distributed load tests for high-scale scenarios
Why Take This Course?
Modern applications must handle increasing user traffic while maintaining high performance. This course provides a practical, step-by-step approach to mastering performance engineering, enabling you to:
Ensure your applications can handle peak loads.
Deliver a seamless user experience under high traffic.
Gain confidence in deploying scalable and reliable systems.
Rather than focusing only on tool usage, the course emphasizes performance engineering principles—helping you understand why systems fail under load and how to design tests that reveal real scalability issues.
By the end of this course, you will be able to design, execute, monitor, and automate performance tests suitable for modern web applications and enterprise environments.