DATA OPS

Drift detected, Slack approval, then auto-file the migration ticket

Detects staging-vs-prod schema drift on demand, posts the diff to a Slack channel with Approve/Ignore buttons, and only opens a Linear migration ticket once a human approves.

CategoryData Ops
Enginesim
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManual run
  • ActionRead staging and prod schemasPostgreSQLPostgres
  • LogicDiff schemas; stop if no drift
  • ActionPost diff to Slack with Approve/IgnoreSlack
  • LogicBranch on reviewer decision
  • OutputFile Linear migration ticket on approvalLinearLinear

What it does

This workflow runs a staging-vs-production schema comparison, then routes the result through a human gate in Slack before anything lands in your tracker. The engineer on rotation sees the diff inline and clicks Approve to file a ticket or Ignore to dismiss expected drift (like a feature-flagged table that exists only in staging).

When to use it

Use it when fully automatic ticketing would bury your team in false positives. The Slack gate lets a human distinguish real migration debt from intentional, temporary divergence before it becomes backlog clutter.

How it works

  1. 1A manual or button-triggered run starts the comparison.
  2. 2Pull both staging and production schema catalogs from Postgres.
  3. 3Compute the diff; if empty, post a brief all-clear and stop.
  4. 4Post the rendered diff to Slack with Approve and Ignore actions.
  5. 5Branch on the reviewer's choice.
  6. 6On Approve, open a Linear migration-review ticket containing the diff.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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