Explore how to enhance your Apache JMeter scripts with Groovy and JSR223 to write advanced, script-based assertions that go far beyond standard options. In this on-demand webinar, BlazeMeter support expert Ariel Bell walks through how Groovy enables dynamic validation logic, including JSON response parsing, conditional checks, and custom failure messages that simplify debugging.
You'll learn how to:
- Create JSR223 assertions using Groovy for advanced validation logic
- Parse and assert JSON structures and response codes
- Add custom failure messages to improve debugging and traceability
- Compare Groovy with BeanShell in performance, syntax, and scalability
- Reuse Groovy scripts across JMX files for modular scripting
- Run Groovy-based assertions in BlazeMeter and view detailed results in real-time reports
The session includes a step-by-step demo in JMeter, execution in BlazeMeter, and Q&A on best practices for using Groovy in your test plans.
Perfect for testers and performance engineers ready to expand beyond out-of-the-box assertions and gain deeper insight into test results.