ENGINEERING
Escalate High-Frequency Flaky Tests from Datadog CI Visibility
Polls Datadog CI Visibility for flaky-test rates, and when a test's flakiness breaches the SLO it pages the owning team in PagerDuty and files a tracking issue.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled flakiness SLO check
- ActionQuery Datadog CI Visibility for flake ratesDatadog
- LogicFlag tests breaching SLO with min-runs guard
- ActionPage owning team via PagerDutyPagerDuty
- OutputOpen or update GitHub tracking issueGitHub
What it does
This workflow treats chronic flakiness as an operational incident. On a schedule it queries Datadog CI Visibility for per-test flake rates, compares each against your reliability SLO, and for any test breaching the budget it pages the owning team via PagerDuty and opens a GitHub issue to anchor the fix.
When to use it
Use it when a few persistently flaky tests are eroding developer trust in CI and a passive backlog is not enough. It is for platform or DevEx teams who already emit CI metrics to Datadog and want flakiness governed by an SLO with real escalation.
How it works
- 1A scheduled trigger runs the check at a fixed cadence.
- 2The flow queries Datadog CI Visibility for flaky-test rate and run volume over the trailing window.
- 3A branch evaluates each test against the SLO and the minimum-runs guard so rarely-run tests do not page.
- 4Tests in breach trigger a PagerDuty event routed to the owning team's service.
- 5The flow opens or updates a GitHub issue capturing the flake rate, sample failing runs, and the SLO breach for tracking to resolution.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect PagerDutyIncidents, on-call, escalations.
- 3Connect GitHubRepos, issues, pull requests, actions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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