CUSTOMER SUPPORT

Notify Zendesk requesters when a Sentry bug ships fixed

When a Sentry issue tied to Zendesk tickets is marked resolved in a release, auto-reply to every affected requester that the fix is now live and reopen-or-close their ticket…

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSentry issue resolved in releaseSentrySentry
  • LogicConfirm resolution is from a deploy, not mute/ignore
  • ActionRead linked Zendesk ticket IDs from issueSentrySentry
  • ActionFetch requester + subject per ticketZendeskZendesk
  • ActionPost public 'fix is live' reply and set solvedZendeskZendesk
  • OutputPost cleared-batch summary to SlackSlack

What it does

Closes the loop between engineering and support automatically. The moment a Sentry issue is resolved in a deploy, this workflow finds every Zendesk ticket linked to that issue and posts a personalized reply telling each requester the fix is live, then sets the ticket to solved.

When to use it

Use it when your team links Sentry issues to support tickets and you are tired of customers waiting days for a manual "this is fixed now" follow-up. Ideal for high-volume bugs where one fix clears a backlog of tickets.

How it works

  1. 1A Sentry webhook fires when an issue transitions to resolved in a release.
  2. 2A filter confirms the resolution is tied to a deployed release (not ignored or muted).
  3. 3The flow reads the issue's linked Zendesk ticket IDs from the issue metadata.
  4. 4For each ticket, it fetches the requester and ticket subject from Zendesk.
  5. 5It posts a public reply naming the release and the fix, then sets the ticket status to solved.
  6. 6A summary is dropped into Slack so the support lead sees the batch that was cleared.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SentryErrors, performance, releases.
  2. 2
    Connect ZendeskTickets, queues, knowledge base.
  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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