Deadpipe – dead-man’s-switch monitoring for data pipelines and ETL jobs

Summary: Deadpipe monitors data pipelines using a dead-man’s-switch model where pipelines send a heartbeat on completion; missing heartbeats indicate failure. It includes one-line SDKs for automatic registration and data freshness scoring to detect staleness before data breaks, plus frontend API and performance monitoring.

What it does

Deadpipe replaces polling with heartbeat signals from pipelines to detect failures and scores data freshness automatically. It integrates pipeline monitoring with frontend API and performance tracking in one product.

Who it's for

It is designed for teams managing data pipelines and ETL jobs needing reliable failure detection and data freshness insights.

Why it matters

It prevents unnoticed pipeline failures and stale data by alerting users before data issues impact end users.