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
What you’ll learn
- Advanced Locust Features.
- Setting Up a Performance Testing Framework.
- Writing Performance Test Scripts.
- Monitoring and Collecting Metrics.
- Fundamentals of Performance Engineering.
- Real-World Applications.
Course Content
- Introduction –> 1 lecture • 1min.
- About Locust –> 1 lecture • 4min.
- Tools Used In Framework –> 1 lecture • 2min.
- Typical Workflow in Performance Testing –> 1 lecture • 5min.
- Types Of Performance Testing –> 1 lecture • 5min.
- Common Performance Bottlenecks –> 1 lecture • 4min.
- Getting Started with Locust and writing your first test –> 1 lecture • 12min.
- Building Realistic Load Tests with HTTP Requests and Faker –> 1 lecture • 11min.
- Organizing User Behavior with TaskSets in Locust –> 1 lecture • 9min.
- Executing Tasks Sequentially in Locust with SequentialTaskSet –> 1 lecture • 7min.
- Modularizing Your Load Tests Using locustfile.py –> 1 lecture • 14min.
- Building Modular Test Flows _scenariosbooking_flow.py –> 2 lectures • 9min.
- Managing Configurations with settings.py in Locust Framework –> 1 lecture • 6min.
- Prometheus Integration with Locust + Visualization in Grafana Cloud –> 2 lectures • 12min.
- Automating Performance Testing with GitHub Actions –> 1 lecture • 6min.
Requirements
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.