DEVOPS

Guard p95 latency SLO during a flag rollout and freeze on burn

Monitors p95 latency for the flagged cohort against your SLO and, when the error budget burn rate is too steep, freezes the rollout in GitHub and asks the release owner…

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires every minute during rollout
  • ActionQuery Honeycomb for p95 latency and SLO burn rateHoneycomb
  • LogicBranch: burn rate above fast-burn threshold?
  • ActionFreeze flag at current rollout percentage via GitHubGitHubGitHub
  • OutputSend Slack approve-rollback decision to release ownerSlack

What it does

Protects a latency SLO while a flag ramps. Instead of a hard auto-kill, it freezes the rollout at its current percentage and hands a clear yes/no rollback decision to the release owner.

When to use it

Use for performance-sensitive changes where a small latency regression is tolerable but a fast error-budget burn is not. Good when you want a human in the loop for the final rollback call but want the ramp paused instantly.

How it works

  1. 1A schedule runs every minute during the rollout.
  2. 2A Honeycomb query computes p95 latency and the SLO burn rate for the flag-on cohort.
  3. 3A logic branch checks the burn rate against your fast-burn threshold.
  4. 4If the budget is burning too fast, a GitHub action pins the flag at its current rollout percentage so it cannot advance.
  5. 5A Slack interactive message goes to the release owner with the latency chart link and Approve-rollback / Hold buttons.
  6. 6The approved choice writes the final flag state back through GitHub.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  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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