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Gatling Masterclass: Design and Analyze Performance Tests
Gatling Performance Testing Bootcamp: Workload Modeling, Java, Test Analysis, Design, Execute & Metrics for Success.
Created byWaqas Majeed
Last updated 8/2026
English
English [Auto],
What you'll learn
- Understand the core concepts and objectives of performance testing.
- Differentiate between load, stress, spike, and other performance testing approaches.
- Understand what Gatling is and how it is used for modern performance testing.
- Understand the role of Scala and Java in the Gatling ecosystem.
- Learn how Gatling's asynchronous, message-driven architecture works.
- Understand virtual users and how they behave during performance tests.
- Learn the structure and logical flow of a Gatling simulation.
- Create HTTP protocol configurations and base settings.
- Work with GET, POST, PUT, and DELETE HTTP requests.
- Implement different user injection strategies, including constant-rate and ramp-up approaches.
- Implement checks and assertions to validate application responses.
- Understand session data and perform request correlation for dynamic values.
- Identify important performance testing KPIs captured by Gatling.
- Navigate and understand Gatling's HTML performance reports.
- Analyze response-time distributions and active-user charts.
- Develop a solid foundation for designing, executing, and analyzing real-world Gatling performance tests.
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Course content
5 sections • 24 lectures • 1h 19m total length
Requirements
- No prior experience with Gatling is required.
- Students should be willing to practice Gatling simulations and performance testing concepts.
- No previous performance testing experience is necessary.
Description
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
Who this course is for:
- QA Engineers who want to learn modern performance and load testing with Gatling.
- Performance Testers looking to develop or strengthen their Gatling skills.
- Software Testers who want to expand their knowledge beyond functional testing.
- Developers interested in understanding application performance and load behavior.
- DevOps Engineers who want to incorporate performance testing into development and delivery workflows.
- Performance Engineers seeking a structured foundation in Gatling and workload modeling.
- Automation Testers interested in adding performance testing to their technical skill set.
- QA professionals preparing for performance testing projects involving web applications and APIs.
- Anyone interested in learning Gatling and building practical knowledge of simulations, workloads, metrics, and performance reports.