ENGINEERING
Flaky Test Trend Alert from CI Metrics to Slack
Runs on a schedule, queries Datadog CI test metrics for tests whose flake rate crossed a threshold over the last week.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled weekday run
- ActionQuery Datadog CI flake ratesDatadog
- LogicFilter and rank tests above threshold
- ActionFormat ranked flake digest
- OutputPost digest to Slack channelSlack
What it does
This workflow surfaces the flakiest tests before they become emergencies. On a regular cadence it pulls per-test pass/fail rates from Datadog CI Visibility, ranks tests by flake rate and blast radius, and delivers a prioritized digest to Slack so the team fixes the top offenders instead of guessing.
When to use it
Use this for a weekly or daily flake review when you already ship CI test metrics to Datadog. It is the proactive complement to per-failure quarantine — it tells you what to invest in.
How it works
- 1A scheduled trigger fires (for example, every weekday morning).
- 2An action queries Datadog for test-level flake rates over the trailing window.
- 3A logic step filters to tests above the flake-rate threshold and ranks by impact.
- 4An action formats a digest with sparkline-style counts and owning teams.
- 5The output posts the ranked digest to the engineering Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, 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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