Databricks Job Failure Agent with OpenClaw

The way this goes wrong is a tracker full of duplicates: an hourly job breaks at ten and by six you have eight tickets saying the same thing. The template searches Linear for that job paired with the exception it threw before filing anything, so a persistent break stays one issue with a pattern attached. OpenClaw is a fine harness for a loop whose main safeguard is a search that happens before the write.
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Free to start · guided setup · switch agents any time.

Live demo

Watch it work before it's live

Run a staged conversation — no account needed. The agent handles it for real while a simulated world answers its tool calls; nothing touches real accounts, and nothing is actually sent.

nightly_revenue_rollup

Priya Ramanathanacme-prod.cloud.databricks.com / job cluster, Runtime 14.3 LTS

Run 4471028 failed at 02:14 UTC after 6 minutes on task build_revenue_facts. Error: org.apache.spark.sql.AnalysisException: [UNRESOLVED_COLUMN.WITH_SUGGESTION] A column with name `order_total_usd` cannot be resolved. Did you mean one of: [order_total, currency_code]? Line 42, pos 8.

What you'll need

Set up in minutes

Using this template drops you into a guided setup. It asks exactly this, nothing else:

  1. Connect Databricks

    One sign-in. The agent acts through your account, scoped to what this template uses.

  2. Connect Linear

    One sign-in. The agent acts through your account, scoped to what this template uses.

  3. Connect Slack

    One sign-in. The agent acts through your account, scoped to what this template uses.

  4. Runbook notes

    What each job is for and what breaks when it does not run - which jobs are business critical, the tables and dashboards fed by them, who owns each one, and the jobs that are allowed to fail quietly overnight.

  5. Runs on OpenClaw

    Preselected for this page — connect your OpenClaw account during setup, or switch to NoClick's built-in models with one click.

  6. Watch it handle a test run

    A staged conversation against a simulated world — then it’s live.

A considered pairing

Why OpenClaw for this agent

Search, then file

An open issue already covering this failure stops it filing anything new, and that issue key goes into the Slack line instead of a second ticket.

No service between failures

Hosted with nothing to maintain, which matters for a job that only ever wakes because something else has broken.

Good to know

Before you fork

How soon after a run fails does the issue exist?

A minute or two after the failure event, since the history list and the Linear search are both quick calls. That is usually well before anyone opens a dashboard, so the first person in finds the issue and its counts already waiting. A very long run output takes marginally longer to pull, and Databricks truncating it is noted in the issue rather than hidden.

Other editions

Run it with a different agent

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Make it yours

Put Databricks Job Failure Agent to work on OpenClaw.

Free to start. Guided setup, a staged test run, and a workflow you can change at every step.