DATA OPS
Multi-tenant schema drift matrix vs canonical, tracked in Notion
Compares every tenant database's schema against a single canonical reference schema, builds a drift matrix showing which tenants are behind.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled fleet sweep
- ActionRead canonical reference schemaPostgres
- ActionRead each tenant schema catalogPostgres
- LogicDiff each tenant vs canonical; build drift matrix
- OutputUpsert tenant status rows into NotionNotion
What it does
For platforms that run one Postgres database per tenant, this workflow checks each tenant's schema against a canonical reference and assembles a fleet-wide drift matrix. It records, per tenant, which expected objects are missing or extra, then upserts each row into a Notion database so product and ops can track migration rollout coverage without SSH-ing into anything.
When to use it
Use it when you operate many isolated tenant databases and need to know which ones still need a pending migration applied. It answers the recurring question: are all tenants on the latest schema, and if not, which ones lag?
How it works
- 1A scheduled run starts the sweep.
- 2Read the canonical reference schema from Postgres.
- 3Iterate the tenant databases and read each tenant's schema catalog.
- 4For each tenant, diff against canonical and classify it as in-sync or drifted.
- 5Assemble the per-tenant results into a drift matrix.
- 6Upsert each tenant's status row into the Notion tracking database.
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.
More Data Ops workflows
Weekly BigQuery Cost Trend Sheet and Exec Digest
Compiles week-over-week BigQuery scheduled-query cost by owner and dataset into a Google Sheet with trend columns.
Daily BigQuery Scheduled-Query Cost Attribution to Owners
Each morning, totals the prior day's on-demand bytes-billed per scheduled query, maps each query to its owner from a label, and posts a per-owner cost leaderboard to Slack.
BigQuery Per-Team Budget Breach Alert to PagerDuty
Tracks month-to-date BigQuery scheduled-query spend per team and, when a team crosses its monthly budget, pages the team's on-call in PagerDuty and snapshots the spend breakdown…
dbt source freshness watcher with severity-routed alerts
Checks Snowflake loaded-at timestamps against each dbt source's freshness SLA, then routes warnings to Slack and hard breaches to a PagerDuty incident so stale data never…
dbt orphan model detector with Linear cleanup tickets
Scans your dbt manifest for models that no other model, exposure, or BI tool consumes.
Raw Sensor Telemetry Archive to BigQuery
Captures every incoming building sensor reading via webhook, normalizes the payload into a consistent schema.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.