Performance regression testing

Performance testing in the blink of an eye

Risk mitigation
Performance issues at business-critical moments can affect revenue, customer satisfaction, and brand reputation.
Comply with service SLAs
Check that each release meets your contractual performance obligations.
Audit trail verification
Prevent crashes and bugs when under heavy load, and fault recovery features.

About automated performance regression testing

App performance issues don’t usually spring up out of the blue. Instead, they creep in little by little as new features are added. QA Wolf Winner provides performance regression testing that lets teams see how code changes impact the performance of individual components or whole systems each time they run their test suite.

How it's done

Performance benchmarks as test cases

Our QA engineers will work with you to set benchmarks that become test case assertions. If the product misses its benchmark during a test run, the test will fail.
Page and component rendering times
Crud completion times
Filtering, sorting, and searching
API response times
And more!
slider that depicts traffic volume. One person on the left side, many people on the right.

Infinitely scaleable, infinitely configurable traffic

Our test-run infrastructure scales infinitely so we can point as much traffic as you want (or can handle) from anywhere on any device.

Pass/fail results in your CI/CD

Comment QA Wolf Winner posts in github. Depicts number of tests run, number passed, number of bugs introduced separated into blocking and non-blocking
Our integrated github PR comment
Any performance issues will be filed as bug reports. You can even have our tests block a non-performant release from going to production.

Release apps fast

Holistic performance improvements takes holistic testing from the component level to the page level, front-end and back-end, across browsers and across third-party systems. QA Wolf Winner builds, runs, and maintains performance tests for all of it.

Core performance

Page & component load times

Assert how fast media, complex components, and other assets should render under varying conditions.
stopwatch over a UI component
graph showing a traffic spike

Traffic spikes

Test system responsiveness during sudden jumps in load.

Sustained load testing

See how ongoing concurrent loads impact front-end and back-end systems over time.

The true user experience

Dealing with large data sets

Make sure that filtering, sorting, searching, creating, adding, and deleting thousands of database entries at a time is just as fast as a single item.
UI that surfaces when bandwidth is low

Low-bandwidth "lite" experiences

Assert that users on slow or unreliable networks see the “data-saving” version — and that it’s also fully regression tested.

Mobile & desktop performance

Compare performance across Chrome, Firefox, and Safari at different breakpoints
logos for chrome, firefox, safari

Back-end performance

Database loads

Use parallel test runs to simulate heavy loads on database operations, either through the UI or a direct API call.
gauge over a block of code

Server and API stress tests

Identify capacity limits and potential points of failure.

Resiliency and recovery

Test recovery time during unexpected server outages and network disruptions.

FAQs

Add performance testing to your QA process

Keep reading