DATA OPS

Snowflake Freshness Breach RCA Agent: Investigate and Draft Incident Report

On a freshness breach, an agent investigates likely causes across the warehouse, orchestration logs, and recent code changes.

CategoryData Ops
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFreshness breach webhookHTTP webhook
  • ActionPull load history + errors from SnowflakeSnowflakeSnowflake
  • ActionFind recent commits on the modelGitHubGitHub
  • LogicForm leading hypothesis + confidence
  • ActionDraft RCA page in ConfluenceConfluenceConfluence
  • OutputSend report + hypothesis to ownerSlack

What it does

When a table breaches its freshness SLA, an agent does the first pass of incident triage a human would: it correlates the stalled load with orchestration logs, recent dbt or schema changes, and upstream source health, then writes a structured root-cause draft so the on-call starts with context instead of a blank page.

When to use it

Use it for high-stakes tables where every breach warrants a real post-incident write-up and you want the investigation legwork done before the engineer opens their laptop.

How it works

  1. 1A freshness-breach webhook fires with the table name and staleness age.
  2. 2The agent queries Snowflake for the load history, last successful run, and query errors around the gap.
  3. 3It pulls recent commits touching that model's path from GitHub to spot likely culprits.
  4. 4Logic weighs the evidence into a leading hypothesis and a confidence level.
  5. 5It drafts a structured RCA page (timeline, suspected cause, blast radius, next steps) in Confluence.
  6. 6It posts the report link and hypothesis to the owner in Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect HTTP webhookTrigger any URL on agent actions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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