This course provides a complete and structured introduction to performance testing and API load testing using Locust. It starts with foundational concepts and gradually progresses to advanced, real-world load testing scenarios. The course focuses on understanding performance testing concepts, system behavior under load, and practical implementation using Python and Locust.
Course Overview
This course is designed to build a strong foundation in performance testing concepts along with hands-on automation skills. Learners will begin with basic principles, understand different types of performance testing, learn Python fundamentals, automate APIs, and design and execute load tests commonly used in real projects. By the end of the course, learners will be able to approach performance testing problems with clarity and structured thinking.
Learning Structure
Performance Testing Foundations
This section covers:
- Core performance testing concepts
- Reasons systems fail under load
- Load, Stress, Spike, Volume, Endurance, and Scalability testing
- Practical examples for better understanding
No prior experience in performance testing is required.
Core Concepts and Terminology
Topics include:
- Concurrent users and requests
- Throughput and response time
- SLA, SLO, and SLIs
- Application, database, and network bottlenecks
- Client-side and server-side performance issues
Python and Locust Fundamentals
This section introduces Python basics required for load testing:
- Data types, loops, functions, and object-oriented concepts
- Exception handling
- Writing readable and maintainable Locust scripts
The content is suitable for testers and learners without a development background.
