Standard nvidia-ml-py monitoring shows total GPU memory usage but misses the fragmentation patterns that cause sudden OOM failures in PyTorch training.
A detailed implementation timeline showing how one financial services firm unified monitoring across mainframe, Windows, and Linux using custom socket analysis.
Learn to build monitoring plugins that automatically detect vendor-specific kernel modules and extract hardware telemetry from Dell and HPE servers through /proc analysis.
How /proc/net/dev analysis uncovered massive inter-cloud sync charges that three provider dashboards never showed, saving one team from silent budget destruction.
Your Java app shows one process in htop but creates thousands of hidden threads. Learn how /proc/PID/task/ reveals thread leaks that saturate CPU cores.
A forensic investigation into how sophisticated Monero miners bypass traditional process monitoring through CPU affinity manipulation and interrupt vector analysis.