AI AGENTS
On-Call Agent: Datadog Alert to Root Cause and Draft Rollback PR
A Datadog monitor alert triggers an agent that correlates the regression to a recent deploy.
How it runs
The automated pipeline, trigger to output.
- TriggerDatadog monitor alertDatadog
- ActionFetch deploys and commits in alert window from GitHubGitHub
- LogicDecide if a deploy or infra is the cause
- ActionOpen draft revert PR for the bad commitGitHub
- OutputRequest rollback approval in SlackSlack
What it does
Closes the loop from alert to candidate fix. When a Datadog monitor trips, the agent figures out whether a recent code change caused it and, if so, prepares the rollback so a human only has to say yes.
When to use it
Use it for services where most incidents trace back to a deploy and the fastest safe mitigation is a revert. It removes the scramble to find the offending commit at 3 a.m. while keeping the merge decision with a person.
How it works
- 1A Datadog monitor crosses threshold and sends its alert payload, including the tagged service and metric.
- 2The agent reads the alert window and pulls commits and deploys to that service from GitHub in the same window.
- 3Logic decides whether the timing implicates a specific deploy or whether the cause looks infrastructural instead.
- 4If a deploy is implicated, the agent opens a draft revert pull request in GitHub targeting that commit.
- 5It posts the root-cause summary and a link to the draft PR in Slack, asking an on-call engineer to approve and merge the rollback.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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.
More AI Agents workflows
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
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.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.