IT OPS

Sentry Outage to Plain-Language Status Update

When a Sentry issue crosses an alert threshold, drafts a customer-readable incident update with a severity tier, routes it to Slack for one-tap approval.

CategoryIT Ops
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSentry alert crosses thresholdSentrySentry
  • LogicConfirm real outage (level + frequency)
  • ActionDraft plain-language update + severity tierOpenAI
  • ActionPost draft to Slack for approvalSlack
  • OutputPublish approved update to status pageHTTP webhook

What it does

Turns a confirmed Sentry outage into a public-facing status update without an engineer hand-writing copy mid-incident. It reads the Sentry issue, generates plain-language text (no stack traces, no jargon), assigns a severity tier, and waits for human sign-off before anything goes live.

When to use it

Use it when on-call engineers are the ones who notice problems first but writing customer updates slows them down. Good for teams that want fast, consistent, non-technical incident comms with a human still in the loop before publishing.

How it works

  1. 1A Sentry alert fires when an issue passes its threshold and sends the event payload.
  2. 2The flow checks the event level and frequency to confirm it is a real outage, not noise.
  3. 3OpenAI rewrites the technical issue into a calm, plain-language update and proposes a severity tier (minor, major, critical).
  4. 4The draft is posted to a Slack channel with Approve and Edit options.
  5. 5On approval, the update is published to the status page via an HTTP webhook.

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 SlackChannels, DMs, threads, mentions.
  4. 4
    Connect HTTP webhookTrigger any URL on agent actions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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