RocketRide Runs Each AI Pipeline in a Separate Process to Contain Crashes
AI infrastructure platform RocketRide assigns every pipeline run its own isolated child process, a design decision made to prevent a single failure from cascading across unrelated tasks. Engineers Krish Garg and Mithilesh Gaurihar explain that typical application-level error handling cannot reliably catch low-level crashes such as segfaults in C extensions or broken native inference libraries. When a child process dies unexpectedly, the parent runtime records the exit code, releases ports and connections, and notifies subscribed monitors without disrupting other running tasks. Each child process owns its own Python interpreter, pipeline graph, and data connections, supervised by the parent via standard I/O streams and a local WebSocket endpoint. The team acknowledges the added startup cost but argues it is justified because sharing a single process across AI workloads makes failures significantly harder to diagnose and contain.
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