Checkpointing is a fault-tolerance technique that saves a system’s current state at specific intervals, enabling recovery from crashes or failures without restarting from scratch. It’s widely used in distributed computing, machine learning training, and database management. Data engineers, AI researchers, and DevOps teams benefit by reducing downtime, preserving progress, and ensuring reliable long-running workflows.
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