DATA OPS

Agent-triaged warehouse drift with impact analysis and runbook update

On a webhook from your warehouse audit log, an agent investigates the changed column, traces which downstream models and dashboards depend on it.

CategoryData Ops
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWarehouse audit-log webhook delivers change eventHTTP webhook
  • ActionQuery Snowflake for new shape and downstream lineageSnowflakeSnowflake
  • LogicAgent assesses severity and breakage risk
  • ActionWrite impact assessment to ConfluenceConfluenceConfluence
  • OutputOpen prioritized Linear ticket linked to the pageLinearLinear

What it does

This is the judgment-heavy version of the sentinel. When a schema change event arrives, an agent looks up the changed column, queries Snowflake for downstream lineage and the views that reference it, and reasons about severity: is this a harmless additive change, a risky type narrowing, or a breaking drop. It writes a structured impact assessment to Confluence and opens a Linear ticket whose priority it sets from the analysis.

When to use it

Use it when raw drift alerts create too much noise and you want each change pre-investigated with real downstream context before a human is pulled in.

How it works

  1. 1A warehouse audit-log webhook delivers the schema change event.
  2. 2The agent queries Snowflake to confirm the column's new shape and find dependent views and models.
  3. 3It assesses severity and the likely breakage from the dependency graph.
  4. 4It writes an impact assessment page to Confluence with the lineage and recommendation.
  5. 5It opens a Linear ticket with priority derived from the assessment and links the Confluence page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect SnowflakeWarehouses, queries, shares.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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