ENGINEERING
Real-Time Flaky-Test Alerts from a Datadog Monitor into ClickUp
Receives a Datadog monitor alert when CI flake rate spikes, enriches it with the offending tests, posts to Discord, and files an owner-assigned ClickUp quarantine task.
How it runs
The automated pipeline, trigger to output.
- TriggerDatadog flake-rate monitor alertDatadog
- ActionQuery top contributing tests for the spikeDatadog
- LogicSelect top offender not already quarantined
- ActionPost flakiness alert to DiscordDiscord
- ActionResolve owner from CODEOWNERSGitHub
- OutputFile owner-assigned ClickUp quarantine taskClickUp
What it does
This workflow reacts the moment CI flakiness spikes. When a Datadog monitor on flaky-test rate trips, it pulls the specific tests driving the spike, posts a concise alert to the engineering Discord channel, and files an owner-assigned ClickUp task to quarantine and investigate the worst contributor.
When to use it
Use it when you want fast, channel-native notification of flakiness surges rather than waiting for a weekly report, while still capturing the work as a tracked task. Good for teams that live in Discord and already monitor CI metrics in Datadog.
How it works
- 1A Datadog monitor alert arrives via webhook when the flake-rate threshold is breached.
- 2The flow queries Datadog for the tests contributing most to the spike during the alert window.
- 3A filter selects the top offender and confirms it is not already quarantined.
- 4It posts an alert to the engineering Discord channel with the spike context and offending tests.
- 5It resolves the owner from CODEOWNERS and files an owner-assigned ClickUp quarantine task for the top offender.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect DiscordCommunity channels + voice + bots.
- 3Connect GitHubRepos, issues, pull requests, actions.
- 4Connect ClickUpDocs + tasks + chats in one workspace.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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