DATA OPS

Agentic Pipeline SLA Breach Triage

When a Datadog freshness monitor fires, an agent investigates the failing pipeline across Snowflake metadata and recent runs.

CategoryData Ops
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDatadog freshness monitor webhookDatadogDatadog
  • ActionPull load history + dependenciesSnowflakeSnowflake
  • LogicRank probable root causes
  • ActionDraft structured triage summary
  • OutputCreate assigned Linear issueLinearLinear

What it does

This agent-driven workflow turns a raw freshness alert into a triaged, actionable ticket. When Datadog reports a missed data SLA, the agent gathers context: which table is stale, when it last succeeded, recent load history, and whether upstream dependencies also lag. It reasons about the most likely cause, such as an upstream failure versus a schema change versus a credential expiry, and writes a Linear issue with a clear summary, evidence, and a recommended next step instead of just a generic alert.

When to use it

Use this when freshness alerts pile up faster than your team can investigate, and each one still needs ten minutes of manual digging before anyone knows what broke.

How it works

  1. 1A Datadog freshness monitor webhook triggers the run.
  2. 2The agent queries Snowflake metadata for the table's load history and dependency status.
  3. 3A reasoning step correlates timing and dependencies to rank likely root causes.
  4. 4The agent drafts a structured triage summary with evidence.
  5. 5A Linear issue is created and assigned to the data on-call rotation.

Set it up

What you configure once, before turning it on.

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

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