AI & RAG
Agentic on-call investigator with live telemetry plus postmortems
An agent investigates a remediation question by searching past postmortems and pulling live metrics from Datadog.
How it runs
The automated pipeline, trigger to output.
- TriggerResponder asks the agent to investigate a symptom in SlackSlack
- ActionRetrieve relevant postmortems from the Postgres indexPostgres
- ActionQuery Datadog for current metrics cited in the postmortemsDatadog
- LogicDecide if historical remediation applies or needs adaptation
- ActionOpen a Linear ticket with recommendation and evidenceLinear
- OutputReply in Slack with cited recommendation and ticket linkSlack
What it does
Goes beyond document retrieval: an agent reasons over both the postmortem knowledge base and current system telemetry to recommend a remediation tailored to the present state, cites the postmortems it relied on, and files a tracking ticket so the action isn't lost.
When to use it
Use it for thornier incidents where the right fix depends on what the system is doing right now, not just what worked last time. Best when responders want a single agent that correlates 'how we fixed it before' with 'what the dashboards show now'.
How it works
- 1A responder asks the agent in Slack to investigate a symptom.
- 2The agent retrieves relevant postmortems from the Confluence-backed Postgres index.
- 3It queries Datadog for the current metrics named in those postmortems to confirm the failure mode matches.
- 4It reasons over both sources, deciding whether the historical remediation still applies or needs adaptation.
- 5It opens a Linear ticket capturing the recommended remediation and evidence.
- 6It replies in Slack with the cited recommendation and the ticket link.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect DatadogMetrics, traces, log search.
- 4Connect LinearIssues, projects, cycles, triage.
- 5Connect ConfluenceSpaces, pages, blueprints.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, 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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