DATA OPS

Datadog Pipeline SLA Incident Triage

Triggers on a Datadog data-pipeline SLA monitor alert, enriches it with recent run context.

CategoryData Ops
EngineSim + Paperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDatadog SLA monitor alertDatadogDatadog
  • ActionFetch metric series and recent eventsDatadogDatadog
  • LogicAgent drafts triage summary
  • OutputPost triage note to Microsoft TeamsMicrosoft Teams
  • ActionAppend incident entry to Confluence runbookConfluenceConfluence

What it does

Turns a raw Datadog pipeline-SLA alert into an actionable triage note. When a monitor for end-to-end pipeline latency or job duration fires, the flow gathers the alerting metric and recent events, then an agent writes a plain-language summary of what breached, the likely blast radius, and the first thing to check. The note goes to the data on-call Teams channel and is appended to the pipeline's Confluence runbook for the incident record.

When to use it

When Datadog alerts on pipeline SLAs are too terse to act on and on-call spends the first ten minutes just figuring out what the alert means. Use it to ship a ready-to-act triage summary the moment the monitor fires.

How it works

  1. 1A Datadog monitor alert webhook triggers the flow.
  2. 2The flow fetches the alerting metric series and recent related events from Datadog.
  3. 3An agent step composes a triage summary: what breached, affected downstream tables, and suggested first checks.
  4. 4The summary posts to the data on-call channel in Microsoft Teams.
  5. 5The same note is appended to the pipeline's Confluence runbook page as a timestamped incident entry.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DatadogMetrics, traces, log search.
  2. 2
    Connect Microsoft TeamsChannels, chats, files.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  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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