AI AGENTS

Honeycomb latency severity gate to PagerDuty

When a Honeycomb latency alert fires, an agent investigates trace severity and user impact.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHoneycomb latency alert firesHoneycomb
  • ActionQuantify regression magnitude and affected trafficHoneycomb
  • LogicClassify severity: severe vs. minor
  • ActionSevere: trigger PagerDuty incident with contextPagerDutyPagerDuty
  • OutputMinor: open low-priority GitLab issueGitLabGitLab

What it does

Adds a judgment layer between a latency alert and a page. The agent investigates how bad the regression actually is — magnitude, breadth of affected traffic, error correlation — and routes accordingly: a real incident pages PagerDuty, while a minor blip becomes a backlog GitLab issue. No more 3am pages for a 50ms wobble.

When to use it

When your latency alerts are too noisy to page on directly but too important to ignore. Best for teams that want severity-aware routing without writing brittle threshold rules.

How it works

  1. 1A Honeycomb latency alert fires.
  2. 2The agent pulls the affected traces and quantifies regression magnitude and affected request share.
  3. 3A branch classifies the event as severe or minor based on impact.
  4. 4For severe regressions, the agent triggers a PagerDuty incident with the trace summary.
  5. 5For minor ones, it opens a low-priority GitLab issue for later review.
  6. 6The chosen output carries the investigation context so responders skip the cold start.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  3. 3
    Connect GitLabRepos, MRs, pipelines, registry.
  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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