ENGINEERING

Draft a burn-down plan as a Linear issue when budget exhausts

When Honeycomb reports the SLO error budget below your remaining-budget floor, an agent drafts a concrete burn-down plan and files it as a prioritized Linear issue assigned…

CategoryEngineering
Enginepaperclip
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHoneycomb burn-rate alert with remaining budgetHoneycomb
  • LogicCheck remaining budget against floor threshold
  • ActionPull SLO definition and triggering events from HoneycombHoneycomb
  • ActionDraft burn-down plan and file as prioritized Linear issueLinearLinear
  • OutputPost issue link to Slack for team visibilitySlack

What it does

When an SLO's remaining error budget drops below a floor (say 20%), this creates a structured burn-down plan: what to cut, what to fix, and what to monitor, filed as a tracked Linear issue so recovery has an owner and a deadline.

When to use it

Use it when burn alerts keep firing but nobody writes down the recovery plan. This forces a documented, assignable plan the moment budget gets dangerously low, rather than another transient page.

How it works

  1. 1A Honeycomb burn-rate alert fires with the SLO's remaining budget percentage.
  2. 2The flow checks whether remaining budget is below the configured floor; if not, it exits.
  3. 3An agent pulls the SLO definition and recent triggering events from Honeycomb to understand what is burning.
  4. 4It drafts a burn-down plan: likely causes, suggested freezes, mitigation steps, and a target recovery window.
  5. 5It opens a high-priority Linear issue with the plan, the SLO link, and the owning team, then posts the issue link to Slack for visibility.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  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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