cluster-monitor

Automate Slurm cluster job monitoring by continuously tracking job status, logs, and outputs to enable intelligent intervention. This ensures efficient job completion and prevents costly reruns for long-running tasks without manual oversight.

You can automatically cancel, clean up, fix, and resubmit Slurm jobs when invalid outputs or costly reruns are likely. Intelligent intervention triggers automatically by performing deep diagnostics on logs, outputs, and results.

Intelligent intervention for Slurm job management automatically detects invalid results or wasted resources in job logs and outputs, then executes cleanup, fixing, and resubmission to ensure successful job completion.

Run diagnostics on Slurm cluster logs and outputs using low-noise polling and microscope-level checks. This deep diagnostic approach tracks job status continuously and triggers interventions only when necessary to prevent failures.

Slurm job monitoring supports interruption handoffs for long-running tasks like large-scale simulations. It provides proactive autonomy and knowledge compounding to manage jobs running for days without losing progress during interruptions.