ENGINEERING

Weekly slow-query regression digest to Notion

Every week, aggregates all p95 regressions Honeycomb saw, groups them by the deploy that introduced each, ranks by user-facing impact.

CategoryEngineering
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionPull all weekly p95 regressions from HoneycombHoneycomb
  • ActionPull week's release log from GitLabGitLabGitLab
  • LogicRank by impact and group regressions by deploy
  • OutputPublish formatted digest page in NotionNotionNotion

What it does

On a weekly cadence, this workflow queries Honeycomb for every query whose p95 regressed during the week, attributes each regression to the deploy window it appeared in, and joins that against the GitLab release log to name the introducing release. It ranks regressions by impact — p95 delta multiplied by request volume — and publishes a structured Notion page: a summary table up top, then per-deploy sections with the affected queries and deltas. It gives engineering leadership a single artifact to review in the weekly performance review.

When to use it

Use this when you want a rollup rather than per-incident noise — a recurring document that makes latency trends and the deploys responsible visible to the whole team, including people who do not watch Honeycomb daily.

How it works

  1. 1Weekly schedule trigger fires.
  2. 2Pull all p95 regressions for the week from Honeycomb.
  3. 3Pull the week's release log from GitLab to map regressions to deploys.
  4. 4Rank by impact (p95 delta times volume) and group by deploy.
  5. 5Publish the formatted digest as a Notion page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HoneycombDistributed traces and queries.
  2. 2
    Connect GitLabRepos, MRs, pipelines, registry.
  3. 3
    Connect NotionPages, databases, comments.
  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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