AI AGENTS
Datadog Monitor Auto-Triage with Proposed Mitigation
When a Datadog monitor breaches, an agent correlates recent metrics and deploys, classifies the likely cause.
How it runs
The automated pipeline, trigger to output.
- TriggerDatadog monitor enters alert stateDatadog
- ActionQuery metric history and correlated monitorsDatadog
- ActionCheck Vercel for deploys in alert windowVercel
- ActionAgent writes triage verdict and proposed mitigation
- LogicSend proposal to Slack, await approvalSlack
- OutputExecute approved mitigation and post resultVercel
What it does
Catches a Datadog alert the moment it fires, gathers the surrounding signal — error-rate trend, recent deploys, related monitors — and produces a short triage verdict plus a single recommended mitigation. Nothing executes until an engineer approves.
When to use it
Use this when alerts are noisy and you want the first five minutes of triage done for you. Good for teams who want a confident first hypothesis ("latency spike tracks the 14:02 deploy") and a one-button rollback path, without ceding control of the actual action.
How it works
- 1A Datadog monitor transitions to alert state and triggers the flow.
- 2The agent queries Datadog for the breaching metric's recent history and any correlated monitors.
- 3It checks Vercel for deploys in the alert window to spot a likely trigger.
- 4The agent writes a triage summary and one proposed mitigation (rollback, scale, or feature-flag).
- 5A logic gate sends the verdict and proposed action to Slack for approval.
- 6On approval it executes the chosen Vercel action; either way it posts the result.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect VercelDeploys, runtime logs, analytics.
- 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
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Stale Doc-PR Chaser for Runbook Gaps
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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.