AI & RAG
Datadog Alert Resolver Grounded in Versioned Runbooks
When a Datadog monitor fires, retrieves the matching runbook from Confluence and posts a grounded resolution to Slack that cites the exact step number and doc version…
How it runs
The automated pipeline, trigger to output.
- TriggerDatadog monitor enters ALERT stateDatadog
- ActionSearch Confluence for runbook matching service tagConfluence
- ActionRetrieve runbook section and ground answer in its text
- LogicBranch on runbook found vs. no-match fallback
- OutputPost cited step + versioned doc link to Slack on-call channelSlack
What it does
Turns a noisy Datadog alert into an actionable, cited answer. The agent reads the alert's monitor name and tags, finds the relevant ops runbook in Confluence, and replies in the on-call Slack channel with the specific remediation step plus a link to the exact doc version — so the operator never guesses or follows a stale procedure.
When to use it
Use it when your on-call rotation wastes minutes hunting for the right runbook every time a monitor trips, or when responders act on outdated steps because docs change faster than memory. Ideal for teams that keep runbooks in Confluence and want every alert answered with a verifiable citation.
How it works
- 1A Datadog monitor transitions to ALERT and triggers the workflow with its name, tags, and metric.
- 2The agent searches Confluence for the runbook matching the monitor's service tag, pulling page content and version.
- 3It retrieves the relevant section and grounds its answer only in that text — no invented steps.
- 4A logic check confirms a runbook was actually found versus a no-match fallback.
- 5The agent posts to Slack with the matched step, the exact step number, and a versioned doc link.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 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.
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Run it inside a business
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Run this workflow in your colony.
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