DATA OPS
Postgres Schema Snapshot to Notion Drift Registry
On a schedule, captures the schema of production Postgres tables, diffs it against the prior snapshot.
How it runs
The automated pipeline, trigger to output.
- TriggerSchedule fires snapshot run
- ActionRead information_schema from production PostgresPostgres
- LogicDiff against prior snapshot; skip if unchanged
- OutputAppend dated change rows to Notion drift registryNotion
What it does
Maintains a living, human-readable log of how your production Postgres schema evolves over time. Each run snapshots the current table and column definitions, compares them to the last snapshot, and records any difference as a timestamped entry in a Notion database — building an audit trail of who changed what and when across releases.
When to use it
Use it when you need a durable, browsable record of schema history for compliance, onboarding, or post-incident review, and a Notion table is where your team already looks for documentation. Complements alerting workflows by giving the changes a permanent home.
How it works
- 1A schedule fires the snapshot run.
- 2The workflow reads `information_schema` from the production Postgres database for the tracked schemas.
- 3It diffs the fresh snapshot against the previously stored snapshot to find added, removed, and altered columns.
- 4A logic step skips the write entirely when nothing changed.
- 5For each change it appends a row to the Notion registry with table, change type, before/after, and date, then persists the new snapshot as the next baseline.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect NotionPages, databases, comments.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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