IT OPS

Mute Datadog Monitors at the Start of an Outlook Maintenance Window

When an Outlook calendar event tagged as a maintenance window begins, this workflow downtimes the matching Datadog monitors and posts a change record so on-call doesn't chase…

CategoryIT Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOutlook maintenance event startsOutlook
  • LogicParse scope; abort if cancelled or empty
  • ActionSchedule Datadog downtime for matching monitorsDatadogDatadog
  • ActionAppend change record to NotionNotionNotion
  • OutputPost mute notice to on-call Slack channelSlack

What it does

Reads a scheduled maintenance event from an Outlook calendar, parses the affected scope from the event body, schedules a Datadog downtime for the matching monitors, and records the action in Notion plus a Slack heads-up.

When to use it

Use it when your maintenance windows live in an Outlook team calendar and you want monitor muting to happen automatically at start time instead of an engineer remembering to do it manually.

How it works

  1. 1An Outlook event whose subject starts with `[MAINTENANCE]` reaches its start time and fires the trigger.
  2. 2The flow parses the event body for a `scope:` line listing Datadog monitor tags or IDs.
  3. 3A guard confirms the event is not cancelled and the scope is non-empty; empty scopes abort safely.
  4. 4Datadog schedules a downtime covering the parsed tags for the event's duration.
  5. 5A change record (window name, scope, start/end, requester) is appended to a Notion database.
  6. 6Slack posts a short notice to the on-call channel confirming which monitors are muted and until when.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OutlookMail, calendar, contacts.
  2. 2
    Connect DatadogMetrics, traces, log search.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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