SYSDIG
Container monitoring and security with deep system-level visibility
ABOUT
Debugging performance issues in containerized ML workloads — GPU memory leaks in model servers, I/O bottlenecks in data pipelines, network latency in distributed training — requires visibility at the system call level that standard monitoring tools don't provide. Traditional observability tools operate at the application layer and can't see kernel-level events. Sysdig solves this with a kernel module that captures system calls and OS-level events from every container, filters them by process, container, or Kubernetes pod, and records them for forensic analysis — giving ML engineers the same level of visibility into containerized AI workloads that strace provides for single processes.