DEVOPS

Worker canary gate on Honeycomb latency SLO breach

When Honeycomb fires a P95-latency SLO-burn alert tied to a canary Worker version, this halts the rollout, freezes the traffic split.

CategoryDevOps
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHoneycomb SLO burn-rate alert webhookHoneycomb
  • LogicConfirm fast-burn and match active rollout
  • ActionFreeze Cloudflare traffic splitCloudflareCloudflare
  • ActionFetch slow-trace exemplars from HoneycombHoneycomb
  • OutputPage on-call via PagerDuty with tracesPagerDutyPagerDuty

What it does

Treats a canary Worker rollout as a latency risk, not just an error-rate risk. It listens for Honeycomb SLO burn-rate alerts scoped to the canary version and, on a fast-burn alert, immediately freezes the Cloudflare traffic split so the bad version stops gaining share, then escalates to PagerDuty with the slowest trace exemplars attached.

When to use it

Use it when your Worker's failure mode is slow rather than broken — timeouts, cold-start regressions, or a degraded upstream that still returns 200s. Error-rate gates miss these; a latency SLO gate catches them.

How it works

  1. 1A Honeycomb SLO burn-rate alert webhook fires referencing the canary version.
  2. 2A logic step confirms the alert is fast-burn and maps it to the active rollout.
  3. 3Cloudflare freezes the traffic split at its current percentage so the canary cannot grow.
  4. 4Honeycomb is queried for the top slow-trace exemplars in the burn window.
  5. 5PagerDuty is paged with the SLO context and trace links for the on-call engineer.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  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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