IT OPS

Draft a public incident update from a Datadog alert

When a Datadog monitor fires, this turns the raw alert into a plain-language public status update and posts it to a Slack approval channel before anything goes live.

CategoryIT Ops
Enginesim
Difficultybeginner
Triggerwebhook
Steps4
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDatadog monitor enters Alert stateDatadogDatadog
  • LogicFilter to customer-impacting priority + tags
  • ActionRewrite alert into plain-language public updateOpenAI
  • OutputPost draft to Slack approval channelSlack

What it does

It catches a firing Datadog monitor and converts the technical alert into a clear, customer-readable incident update. Instead of jargon like "p99 latency > 1500ms on api-gateway", it produces something like "Some customers may be experiencing slow load times." The draft is never published automatically — it lands in a Slack channel where an on-call lead approves or edits it first.

When to use it

Use it when your team wants fast, consistent public communication during incidents but doesn't want raw monitor text leaking to customers, and wants a human to sign off before anything reaches the status page.

How it works

  1. 1A Datadog monitor transitions to Alert and fires a webhook into the workflow.
  2. 2A filter checks the monitor's priority and tags so only customer-impacting alerts proceed.
  3. 3An LLM step rewrites the alert into a short, blame-free public update with a suggested severity and affected-component label.
  4. 4The draft is posted to a Slack approval channel with Approve / Edit buttons and the original alert linked for context, ready for a human to publish.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DatadogMetrics, traces, log search.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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