Building Scalable Performance Testing Frameworks with Locust
A Practical Guide to Performance Testing with Locust, Python, Prometheus, and Grafana Cloud
Building Scalable Performance Testing Frameworks with Locust udemy course
A Practical Guide to Performance Testing with Locust, Python, Prometheus, and Grafana Cloud
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.
What You’ll Learn
Build a complete performance testing framework from scratch using Locust and Python.
Simulate real-world user behavior with modular and reusable test scripts.
Monitor performance metrics like request latency and error rates using Prometheus.
Visualize test results with Grafana for actionable insights.
Identify and resolve performance bottlenecks in web applications.
Optimize system performance with proven engineering techniques.
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.
Who Is This Course For?
This course is perfect for:
Software Developers: Learn how to test and optimize your code for scalability.
QA Engineers: Expand your expertise into performance testing.
DevOps Professionals: Integrate performance testing into CI/CD pipelines.
Beginners: Start from scratch and build a strong foundation in performance engineering.
