ShieldSet helps data engineering teams respond to incidents faster — with AI-generated runbooks tailored to your stack. When an Airflow DAG fails, a dbt model breaks, or a Spark job crashes, ShieldSet surfaces the right steps, the right contacts, and the right context — automatically. No more hunting through Confluence. No more tribal knowledge bottlenecks. Built for the teams keeping data pipelines alive in production.
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Maker
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Hey Product Hunt! 👋 Ben here, founder of ShieldSet.
I built ShieldSet out of a frustration every data engineer knows — a pipeline breaks in production, the on-call engineer didn't write the code, and the next 45 minutes are spent digging through Slack history, stale Confluence docs, and pinging the one person who actually knows what's going on.
ShieldSet fixes that. AI-generated runbooks built around your actual stack — Airflow, dbt, Spark, Databricks — so your team always knows exactly what to do, who to call, and how to recover. Fast.
We're early and we're building in public. Would love your feedback, your war stories, and your hardest pipeline failure scenarios. Drop them below — we read everything.
Thanks for hunting us 🙏