SUMMARIZATION

Weekly Crash-Free Trend Report to Confluence

Each week, gathers crash-free rates from the three most recent Sentry releases and publishes a narrative trend report — with the regression analysis written in prose.

CategorySummarization
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionQuery crash-free rates for three most recent releasesSentrySentry
  • ActionWrite the deploy-over-deploy trend narrativeOpenAI
  • LogicTag weekly status: improving, flat, or regressed
  • OutputPublish dated section to Confluence release-health pageConfluenceConfluence

What it does

Once a week this workflow assembles crash-free session and user rates from your three latest Sentry releases and publishes a written trend report to Confluence. The report reads as a short stability narrative comparing the deploys, suitable for engineering managers and stakeholders who do not live in Sentry.

When to use it

Use it for a regular release-health cadence that feeds into ops reviews or QBRs. It is the right fit when leadership wants a readable weekly summary rather than ad-hoc alerts, and when you keep engineering documentation in Confluence.

How it works

  1. 1A weekly schedule triggers the run.
  2. 2The flow queries Sentry for crash-free metrics across the three most recent releases.
  3. 3An LLM step writes a trend narrative describing how stability moved deploy over deploy, calling out any regression and its magnitude.
  4. 4A logic step tags the week's overall status as improving, flat, or regressed for the page heading.
  5. 5The report is published as a new dated section on the rolling Confluence release-health page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SentryErrors, performance, releases.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  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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