DEVOPS

Weekly Honeycomb SLO Burn-Down Snapshot to BigQuery and Slack Digest

Each week snapshots every Honeycomb SLO's burn rate and remaining budget into a BigQuery table for trend history, then posts a ranked digest of the worst-trending SLOs to Slack.

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionRead all SLO metrics from HoneycombHoneycomb
  • ActionAppend weekly snapshot rows to BigQueryGoogle BigQueryBigQuery
  • ActionQuery week-over-week budget deltasGoogle BigQueryBigQuery
  • OutputPost ranked burn-down digest to SlackSlack

What it does

Collects a weekly point-in-time snapshot of all Honeycomb SLOs — burn rate, budget consumed, and budget remaining — and appends it to a BigQuery history table. It then queries the table for week-over-week deltas and posts a Slack digest ranking the SLOs whose budget is eroding fastest. The outcome is a durable burn-down history you can chart, plus a weekly heads-up on the worst-trending reliability targets.

When to use it

Use this when Honeycomb's native retention is too short for the quarterly trend reporting you need, or when leadership wants a regular reliability digest backed by your own warehouse data.

How it works

  1. 1A weekly schedule trigger fires.
  2. 2The flow reads current budget and burn metrics for every SLO from Honeycomb.
  3. 3It appends one row per SLO to a BigQuery snapshot table with the run timestamp.
  4. 4A BigQuery query computes the week-over-week budget delta and ranks the steepest declines.
  5. 5A Slack digest posts the top decliners with their burn multiple and remaining budget to the reliability channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  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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