AI AGENTS

PagerDuty Incident to Auto-Executed Runbook with Honeycomb Verification

On a PagerDuty incident, the agent matches it to a stored runbook, executes safe diagnostic and mitigation shell steps.

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPagerDuty incident openedPagerDutyPagerDuty
  • ActionLook up matching runbook
  • LogicGate steps against auto-safe allowlist
  • ActionExecute mitigation via sandboxed shellShell
  • ActionVerify recovery in HoneycombHoneycomb
  • OutputPost outcome and rollback note to incidentPagerDutyPagerDuty

What it does

Closes the loop between alert and action. When PagerDuty opens an incident, the agent finds the matching runbook, runs its low-risk mitigation steps via a controlled shell, and then confirms the fix actually worked by re-checking Honeycomb metrics — not just by assuming the command succeeded.

When to use it

Use it for well-understood, recurring incidents that already have a documented runbook (restart a stuck worker, drain a bad node, flush a cache). It removes the 3am toil while keeping a verification gate so a blind fix never masks the real problem.

How it works

  1. 1PagerDuty triggers on a new incident matching a runbook-tagged service.
  2. 2The agent looks up the corresponding runbook and parses its steps.
  3. 3Logic checks the steps are in the auto-safe allowlist; risky ones are skipped.
  4. 4It executes the approved mitigation commands through a sandboxed shell.
  5. 5It queries Honeycomb to confirm error rate and latency returned to baseline.
  6. 6It posts the outcome and a rollback recommendation back to the PagerDuty incident timeline.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PagerDutyIncidents, on-call, escalations.
  2. 2
    Connect HoneycombDistributed traces and queries.
  3. 3
    Connect ShellRun sandboxed commands inside the workspace.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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