DATA OPS
dbt Freshness Recovery: Auto-Resume Dashboards When Tables Refresh
Watches paused dashboards and, once the underlying Snowflake marts come back within their freshness SLA, clears the pause flag and posts an all-clear.
How it runs
The automated pipeline, trigger to output.
- TriggerEvery 10 minutes
- ActionList paused dashboards and blocking tablesSnowflake
- ActionRe-check freshness of blocking tablesSnowflake
- LogicKeep dashboards whose deps all recovered
- OutputClear pause flag and post Slack all-clearSlack
What it does
The counterpart to the pause sentinel. It scans the dashboard control table for anything currently marked paused, re-checks the freshness of the marts that triggered each pause, and once every dependency is back inside its SLA, clears the pause flag and announces recovery. No human has to remember to un-pause a dashboard after a backfill finishes.
When to use it
Use alongside the pause workflow so dashboards self-heal. Without it, dashboards stay dark long after the data recovers and someone has to manually flip them back on.
How it works
- 1A schedule runs every 10 minutes.
- 2A Snowflake query lists dashboards currently flagged as paused and their blocking tables.
- 3A freshness re-check confirms whether each blocking table is now within SLA.
- 4A logic step keeps only dashboards whose every dependency has recovered.
- 5A Snowflake update clears the pause flag and a Slack all-clear names what was restored.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect SlackChannels, DMs, threads, mentions.
- 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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