Building Scalable Performance Testing Frameworks with Locust
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
Requirements
- Basic Python Knowledge, Familiarity with Web Applications, Interest in Performance Testing
Description
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.
Who this course is for:
- This course is designed for a wide range of learners who are interested in performance engineering, load testing, and building scalable systems.
Instructor
14+ years of experience in Quality Assurance, Automation Testing, and AI-driven solutions.
Proven track record in developing automation frameworks that boost software reliability and performance.
Strong focus on AI-enhanced testing methodologies to drive innovation in QA processes.
Skilled in leading test automation strategies that streamline software delivery and quality outcomes.
Passionate about bridging traditional QA practices with modern AI and machine learning technologies.
Open to connections on automation trends, AI in testing, and the future of quality engineering