From Continuous Testing to Autonomous Testing
What is Continuous Testing?
Continuous testing embeds automated quality checks throughout the software delivery lifecycle to help teams find issues sooner and release faster.
How Does It Evolve to Autonomous Testing?
Autonomous testing builds on continuous testing by using AI to create, orchestrate, execute, and analyze tests with minimal manual effort.
How BlazeMeter Supports the Transition
BlazeMeter combines enterprise-grade performance testing with AI-driven orchestration, natural-language test creation, and unified reporting.
Come For the Performance.
Stay For Everything Else.
Teams often start with performance testing, then expand coverage across API, functional, and monitoring as needs scale.
Smarter Testing. Built for Reliability. One Platform.
BlazeMeter gives you the power to test everything, everywhere, all at once.
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Real Customers. Real, Successful Business Outcomes.
$2M+
Annual savings by KeyCorp after migrating from LoadRunner with zero rewrites, plus an 83% infrastructure cost reduction.
4-Week
Faster time-to-market after BT Group applied BlazeMeter AI insights to identify issues earlier.
30%
Faster release cycles after adding shift-left quality gates in CI, catching 40% more regressions pre-release and driving $1M+ annual savings in testing operations.
11M+
Concurrent users validated across 55 countries before a major streaming launch, supporting 28.6M subscribers with zero performance issues.
Open Source Freedom. Enterprise Control.
BlazeMeter meets users where they like to work by seamlessly integrating with more than 20 popular open source frameworks so you team can build, run, and scale tests within the tools you already know and trust.
“Our testing process is 100% automated. To rely solely on automated testing you need to have a huge amount of confidence in your tests, and we have that confidence in BlazeMeter.”
Ryan O’Neill | Senior Engineering QA, Automation & DevOps Manager | Deckers Brands
Go Beyond Performance
Standardize continuous testing across CI and production with performance, functional, and API testing and monitoring, plus service virtualization andAI-powered test data across 20+ open-source frameworks.