TICKET MANAGEMENT

Nightly reconcile of Sentry crashes against the GitLab backlog

On a schedule, scan unlinked Sentry issues from the last day, match each to an existing GitLab issue or open a new one with breadcrumbs.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule
  • ActionQuery Sentry for unlinked issues from last 24hSentrySentry
  • LogicPer issue: fingerprint and search GitLabGitLabGitLab
  • ActionComment on match OR create seeded GitLab issueGitLabGitLab
  • ActionLink GitLab issue back to Sentry groupSentrySentry
  • OutputPost Slack reconciliation summarySlack

What it does

A batch safety net that sweeps up Sentry crashes that slipped past real-time linking. Once a night it reconciles the day's unlinked error groups against your GitLab issues, attaching or filing each, then reports the tally.

When to use it

When webhooks occasionally fail, when you onboard Sentry mid-sprint with a backlog of orphaned errors, or when you simply prefer batched triage over a constant stream of new tickets.

How it works

  1. 1A nightly schedule triggers the run.
  2. 2The flow queries Sentry for issues from the last 24 hours that have no linked GitLab reference.
  3. 3For each, it builds a fingerprint and searches GitLab issues for a match.
  4. 4Branch per issue: matched ones get a comment with the day's occurrence count; unmatched ones become new GitLab issues seeded with stack trace and breadcrumbs.
  5. 5It links every resulting GitLab issue back to its Sentry group.
  6. 6It posts a Slack summary: count linked, count created, and any errors that needed manual review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SentryErrors, performance, releases.
  2. 2
    Connect GitLabRepos, MRs, pipelines, registry.
  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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