Performance testing in the blink of an eye

The number of possible test cases is too long to list, but you can generally think about them in two categories:

Client-side performance tests. These are measuring the rendering time of individual components or whole pages and how long communication with the server takes. For example, asserting that a data table re-sorts in less than 100 ms.

Load and stress tests. These are usually server-side tests to see how back-end systems behave when multiple clients act on them concurrently and for prolonged periods of time. For example, assert that 5,000 users can initiate a video stream simultaneously without an impact on the user experience.

You can design test cases and traffic patterns that you want to observe.

Our parallelization infrastructure spins up a separate container for each “user” and orchestrates their activity. The traffic can be programmed to complete a workflow, or a single action, depending on the test. The traffic can be generated from any geo location, on any browser, and in any volume—mix and match if you want to replicate your real world user base.

If it's measurable, you can assert against it, including Time to First Byte (TTFB), First Contentful Paint (FCP), and Total Blocking Time (TBT).

Definitely. We have seamless integrations with GitHub and GitLab, ensuring our testing services mesh perfectly with your continuous integration and deployment workflows. We can also work closely with your team to customize for any other SCM provider.

Yes, we do. The Playwright framework can emulate more than 100 desktop and mobile devices to test your web application across any breakpoints that you use.

The best tools for performance testing measure performance regressions automatically and fail builds when benchmarks are missed.

QA Wolf turns performance benchmarks into automated test assertions, scaling traffic to simulate spikes, sustained load, and real-world conditions. Teams can use QA Wolf’s Agentic Automated Testing tool to run performance tests in CI/CD themselves, or choose our managed service where we build, execute, and maintain performance regression tests across front-end and back-end systems.

QA automation services for performance testing provide managed performance regression tests that detect slowdowns before they reach production.

QA Wolf’s QA engineers build, run, and maintain automated performance tests that validate load handling, traffic spikes, database stress, API limits, and system recovery. Benchmarks are enforced on every run, and releases can be blocked if performance degrades.