This course contains the use of Artificial Intelligence.
|| Unofficial Course ||
Take your performance testing skills to the next level with this comprehensive Gatling Performance Testing course, designed to help you understand the fundamentals of performance testing and confidently build, execute, and analyze realistic load tests using Gatling.
This course provides a practical and structured introduction to Gatling and its role in modern performance engineering. You will begin by understanding the core objectives of performance testing and learn how load testing, stress testing, and spike testing differ in terms of purpose, workload, and expected outcomes. You will also explore Gatling’s architecture, primary use cases, and how its approach differs from traditional performance testing frameworks.
As you progress, you will develop a solid understanding of the Gatling ecosystem, including the role of Scala and Java, Gatling’s asynchronous architecture, virtual users, core engine components, project structure, and important configuration files. This foundation will help you understand not only how to create Gatling tests, but also how Gatling works behind the scenes.
You will then learn how to work with the Gatling Domain-Specific Language (DSL) and understand the logical structure of a Gatling simulation. You will explore HTTP protocol configuration, scenario design, sequential user journeys, and common HTTP operations such as GET, POST, PUT, and DELETE. You will also learn how feeders can be used to inject dynamic test data into your simulations.
A major focus of the course is workload modeling and realistic simulation design. You will learn how to model open and closed workload systems, select appropriate user injection strategies, create constant-rate and ramp-up workloads, and introduce pauses and pacing to simulate realistic user behavior. You will also learn how to implement checks and assertions for response validation and handle dynamic session data through correlation.
The course also focuses heavily on performance analysis. You will learn about important performance testing KPIs captured by Gatling and understand response-time percentiles such as the 50th, 75th, 95th, and 99th percentiles. You will learn how to navigate and interpret Gatling’s HTML reports, analyze response-time distributions, examine active-user charts, and use performance data to identify potential bottlenecks and performance issues.
By the end of this course, you will have a strong foundation in Gatling-based performance testing and will understand how to design meaningful simulations, model realistic workloads, validate application behavior, and interpret performance results.
Whether you are a QA professional, performance tester, developer, DevOps engineer, or aspiring performance engineer, this course will give you the knowledge needed to start applying Gatling effectively in real-world performance testing scenarios.
Join the course and build the skills needed to move from basic performance testing concepts to practical Gatling-based load and performance testing.
Thank you
