DATA OPS
File Linear Bugs from dbt Failures Seen in Datadog
Watches Datadog for dbt run-failure events and automatically opens a Linear issue in the owning team's project.
How it runs
The automated pipeline, trigger to output.
- TriggerDatadog dbt-failure event firesDatadog
- LogicMap model owner tag to Linear team + dedup searchLinear
- ActionCreate or comment on Linear issueLinear
- OutputReply in Slack thread with ticket linkSlack
What it does
Converts recurring dbt failures surfaced in Datadog into actionable, deduplicated Linear tickets. It maps the failed model to its owning team via a tag-to-project lookup and ensures only one open issue exists per model.
When to use it
Use it when dbt run logs already ship to Datadog and you want failures tracked as work, not lost in alert noise. Best for teams that triage data issues through Linear and want a clean, dedup'd backlog.
How it works
- 1A Datadog monitor on dbt failure events triggers the flow with the failed model and tags.
- 2The flow maps the model's owner tag to a Linear team and project.
- 3A logic step searches Linear for an existing open issue referencing the same model.
- 4If none exists, it creates a new issue with the error log, run URL, and owner assignment; if one exists, it adds a comment incrementing the failure count.
- 5A Slack thread reply links the ticket back to the on-call.
Set it up
What you configure once, before turning it on.
- 1Connect DatadogMetrics, traces, log search.
- 2Connect LinearIssues, projects, cycles, triage.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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