AI AGENTS

On-Call Agent: Scheduled Service Health Sweep with Pre-Page Warnings

On a schedule, an agent sweeps your fleet's Datadog health signals, flags services trending toward failure.

CategoryAI Agents
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled sweep starts
  • ActionRead fleet health metrics from DatadogDatadogDatadog
  • LogicScore degradation trend per service
  • LogicDrop healthy services, keep at-risk ones
  • OutputPost prioritized watchlist to SlackSlack

What it does

Runs a proactive health check across all your services on a cadence you set. Instead of waiting for an alert, the agent looks for slow-burn degradations — climbing latency, shrinking headroom, rising error rates — and surfaces them early.

When to use it

Use it as a daily or hourly standup for your infrastructure when you want to catch problems before they become pages. Ideal for teams that prefer to fix things during business hours rather than during incidents.

How it works

  1. 1A schedule (for example every morning) starts the sweep.
  2. 2The agent reads health metrics for each tracked service from Datadog over the recent trailing window.
  3. 3Logic scores each service for degradation trend and proximity to known alert thresholds.
  4. 4Services that are healthy are dropped; only those trending toward trouble move forward, each tagged with a suggested preventive step.
  5. 5The agent posts a ranked watchlist to Slack so on-call can act on the worst offenders first — no remediation runs automatically.

Set it up

What you configure once, before turning it on.

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

Run this workflow in your colony.

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