Resources

This tour shows how to upload simulations, configure execution rules, run the test, and review performance results.

Discover how BlazeMeter helps you compare two test runs, set a baseline for future checks, and review performance changes with more confidence.

Discover how BlazeMeter helps you store secrets securely, reference them in JMeter, and keep values masked during test execution.

Run a calibration pass to check whether your load generator can support the planned user load.

See how BlazeMeter API Monitoring takes an API test from review to repeat checks across environments.

Run performance tests from your Kubernetes environment with BlazeMeter Private Locations. This tour shows how to create a location, add an agent, and select it in a Performance test.

Discover how BlazeMeter helps you record an example browser journey, run it at load, and investigate replay, waterfall, and errors.

Discover how to review a completed test run, filter results, and spot response time changes.

Getting started with performance testing doesn’t have to be overwhelming. With the right guide, it isn’t. This JMeter Playbook is your fast-track to mastering Apache JMeter whether you’re coming from manual testing, development, or DevOps.

New to Apache JMeter™? Learn how to quickly get started with performance testing and build your first test scripts in minutes. This beginner-friendly course walks you through installing JMeter, understanding core concepts, and mastering the fundamentals of script creation.

Learn how to build, run, and scale automated GUI functional tests using Selenium WebDriver with Python. This comprehensive course covers everything from setting up Selenium locally to integrating your tests with BlazeMeter for scalable, parallel execution in modern CI/CD environments.

Learn how to replace hard-coded and recorded values with dynamic test data across all BlazeMeter testing types, which include performance testing, functional testing, API monitoring, and service virtualization. This foundational course teaches you how to use test parameterization to create scalable, data-driven tests that improve quality, flexibility, and coverage.