DEVOPS

Honeycomb Projected-Breach to Capacity Review Calendar Hold

Forecasts each Honeycomb SLO's breach date from its burn rate and, for SLOs projected to breach soon.

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionRead burn rate and budget from HoneycombHoneycomb
  • LogicForecast breach date and apply lead time
  • LogicKeep SLOs breaching within lead-time window
  • ActionBook capacity review on Google CalendarGoogle CalendarGoogle Calendar
  • OutputConfirm booked reviews in SlackSlack

What it does

Projects when each Honeycomb SLO will exhaust its error budget at the current burn rate and, for any SLO forecast to breach inside the lead-time window, places a Google Calendar capacity review hold with the SLO owner scheduled ahead of the projected breach date. It confirms each booking in Slack. The outcome is that review time is reserved on owners' calendars before reliability degrades, not after.

When to use it

Use this when capacity reviews need to actually land on calendars to happen, and you want the meeting timed to precede the forecast breach rather than sit in a backlog.

How it works

  1. 1A daily schedule trigger fires.
  2. 2The flow reads burn rate and remaining budget per SLO from Honeycomb.
  3. 3A forecast step computes each SLO's projected breach date and applies the configured lead time.
  4. 4A logic branch keeps SLOs whose projected breach falls inside the lead-time window.
  5. 5It creates a Google Calendar event inviting the SLO owner, timed before the projected breach.
  6. 6A Slack confirmation posts the booked reviews and their target dates.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect Google CalendarEvents, attendees, availability.
  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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