QA
Learn how SRE.ai can be used to facilitate QA
Test automation integration
Scenario:
A team uses automated testing tools (like Playwright or Provar) and wants test execution integrated into their deployment pipeline.
How SRE.ai addresses this:
SRE.ai integrates with testing providers as part of the deployment workflow. Teams can configure quality gates that require tests to pass before changes advance to the next stage. Test results are surfaced in the Command Center, and failures block promotion until resolved.
Steps:
Configure a quality gate at the desired Pipeline stage
Associate the quality gate with your test suite
When a deployment reaches that stage, tests execute automatically
Review results in the Command Center. Passing tests allow promotion.
Regression suite execution
Scenario:
Before any production deployment, a team needs to run its full regression suite to ensure existing functionality isn't broken.
How SRE.ai addresses this:
SRE.ai supports regression suite execution as a quality gate. Teams can configure which test suites run at which stages, and the platform orchestrates execution with their testing provider. Results are tracked over time, enabling teams to identify flaky tests and monitor test health.
Steps:
Define your regression suite in your testing provider
Configure a quality gate at the pre-production stage
Associate the gate with the regression suite
Set the gate to block promotion on failure
Before production deployment, the full regression suite runs automatically
Review historical results to identify patterns and flaky tests
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