IT OPS

Power Draw Spike Detection with PagerDuty Escalation

Polls Datadog for building electrical metrics, detects sustained power draw spikes or phase imbalance against baseline.

CategoryIT Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled electrical metrics check
  • ActionQuery Datadog power draw and phase metricsDatadogDatadog
  • LogicDetect spike or phase imbalance vs baseline
  • ActionOpen PagerDuty incident for critical circuitPagerDutyPagerDuty
  • OutputPost incident summary to Slack ops channelSlack

What it does

This workflow watches your building's electrical telemetry in Datadog and catches power problems before they trip a breaker or damage equipment. On a schedule it queries panel-level power draw and phase balance, compares the latest window against a rolling baseline, and when a circuit sits over its critical threshold it opens a PagerDuty incident so the right engineer is paged immediately. A Slack note gives the wider team context.

When to use it

Use it when electrical metrics already flow into Datadog and you need true escalation — not just a dashboard — for overloaded circuits, failing PDUs, or unbalanced three-phase loads. Best for data-center-adjacent facilities or buildings with critical tenant load.

How it works

  1. 1A schedule fires the check at your chosen interval.
  2. 2A Datadog query pulls recent power draw and phase-balance metrics per circuit.
  3. 3A logic step compares each circuit to its baseline and threshold, flagging sustained spikes or imbalance.
  4. 4If a circuit is critical, a PagerDuty incident is created with the circuit and measured load.
  5. 5A Slack message posts the incident summary to the operations channel.

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 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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