DEVOPS

Weekly Noisy-Alert and On-Call Load Audit

On a weekly schedule, pull Datadog alert volume and PagerDuty incident history, have an agent flag noisy monitors and overloaded rotations, and file tuning tasks in Linear.

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionQuery Datadog alert volume and flap rate per monitorDatadogDatadog
  • ActionPull PagerDuty incident and on-call load dataPagerDutyPagerDuty
  • LogicAgent ranks noisy monitors and overloaded rotations
  • ActionFile tuning tasks in Linear by owning teamLinearLinear
  • OutputPost on-call load digest to SlackSlack

What it does

Runs a weekly hygiene review of your alerting. It aggregates Datadog alert frequency and PagerDuty incident and acknowledgement data, then an agent identifies the noisiest monitors, the most-paged rotations, and after-hours load. It files concrete tuning recommendations as Linear tasks and posts a digest to Slack so alert fatigue gets managed proactively.

When to use it

Use it when on-call burnout and alert fatigue are creeping in and you want a recurring, data-driven review that turns noise into a prioritized backlog instead of an anecdote.

How it works

  1. 1A weekly schedule triggers the audit.
  2. 2Datadog is queried for alert counts and flap frequency per monitor over the past week.
  3. 3PagerDuty incident, acknowledgement, and escalation data is pulled per rotation, including off-hours pages.
  4. 4An agent ranks the noisiest monitors and most-loaded rotations and writes specific tuning recommendations.
  5. 5Linear tasks are created for each high-priority tuning item, assigned to the owning team.
  6. 6A summary digest with the top offenders and trends is posted to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DatadogMetrics, traces, log search.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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