A curated collection of resources covering Apache JMeter usage, including plugins, integrations, testing techniques, and DevOps practices.
Awesome JMeter is a curated list of resources for Apache JMeter, an open-source tool for load and performance testing. It aggregates tutorials, plugins, best practices, and integration guides to help users effectively design, execute, and analyze performance tests. The project solves the problem of fragmented information by providing a centralized, community-maintained directory for everything related to JMeter.
Performance test engineers, DevOps practitioners, and software developers who use or plan to use Apache JMeter for load testing web applications, APIs, and services. It is especially valuable for teams implementing continuous performance testing in CI/CD pipelines.
Developers choose Awesome JMeter because it saves time searching for reliable JMeter resources across the web. Its curated, structured approach ensures access to up-to-date tools, plugins, and community-vetted content, accelerating learning and implementation of performance testing best practices.
A collection of resources covering different aspects of JMeter usage.
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Aggregates official documentation, tutorials, plugins, and CI/CD guides into a single organized list, as evidenced by the detailed table of contents covering over 20 categories from basics to advanced cloud testing.
Maintained by contributors and inspired by the awesome project, ensuring a wide range of vetted resources from the JMeter community, with active links to forums, blogs, and Q&A platforms.
Focuses on automation, Docker, Kubernetes, and CI/CD integration, with specific sections for tools like Taurus, Jenkins plugins, and cloud services, reflecting contemporary testing workflows.
Includes resources for testing beyond HTTP, such as gRPC, HLS streaming, and mainframe applications via dedicated plugins like JMeter gRPC Plugin and RTE Plugin, as highlighted in the 'Performance Testing' section.
Serves only as a collection of external links without built-in validation, meaning users must independently verify resource accuracy, and broken or outdated links are a common risk.
The sheer volume of resources—from books to niche plugins—can be daunting for users seeking quick, specific solutions, requiring significant time to sift through irrelevant entries.
Lacks any built-in tools or features for testing or analysis; it merely points to external sources, forcing users to navigate multiple platforms for implementation and troubleshooting.