DATA OPS
Postgres Replica Freshness Circuit Breaker for Reverse-ETL
Before each reverse-ETL sync, verifies the analytics Postgres replica is fresh; if replication lag exceeds the window, it blocks the sync, opens a Linear issue.
How it runs
The automated pipeline, trigger to output.
- TriggerPre-sync clearance webhookHTTP webhook
- ActionRead replica lag from PostgresPostgres
- LogicReplica fresh enough to sync?
- ActionOpen Linear issue on breachLinear
- OutputPost blocked-sync notice to SlackSlack
What it does
Guards a reverse-ETL sync from shipping stale rows to production tools. It acts as a pre-flight circuit breaker: only let the sync run when the source Postgres replica is caught up, otherwise stop and raise a tracked issue.
When to use it
Use it when a sync pushes warehouse data into a CRM or product tool and stale data would corrupt customer-facing records — you want the sync to fail closed, not silently push old values.
How it works
- 1The sync orchestrator calls an inbound webhook to request clearance before running.
- 2Query Postgres for the replica's last-applied timestamp and replication lag.
- 3Logic checks lag against the freshness window; fresh means return a go signal and exit.
- 4On breach, return a block signal so the orchestrator skips this sync cycle.
- 5Open a Linear issue tagged data-ops with the lag detail and affected destination.
- 6Post the blocked-sync notice to the Slack ops channel for visibility.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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