Alibabacloud Aes Sysom Pai Diagnosisv0.0.1

When a model serving instance suddenly fails with CUDA out-of-memory or becomes unresponsive, an SRE runs this skill to trigger real-time (start_time=0) SysOM deep diagnosis. It correlates kernel, IO, and GPU memory events to pinpoint whether the OOM is caused by a memory leak, an oversized batch size, or an external process.

A platform team notices p95 first-token latency regressions across multiple EAS instances while some replicas idle. Using the time-range parameters, they diagnose each affected instance to identify network jitter, packet loss, or scheduler misconfiguration, then rebalance traffic.

A distributed training job on DLC hangs or shows per-step throughput collapse. This skill inspects the underlying compute resources for kernel oops, high system load, or network timeouts, giving the ML engineer concrete evidence before changing cluster topology or restarting the job.

After an EAS instance restarts unexpectedly overnight, the on-call engineer uses a historical time window (start_time/end_time) to reconstruct the failure timeline, identify OOM-killer activity or kernel oops, and document root cause for incident review.

Before deciding to reduce EAS/DLC capacity, a cloud operations team runs this skill to confirm instances are not silently throttled by IO latency or network packet loss. This prevents premature scale-down that would degrade user-facing latency.

Cloud providers embed this skill into their PAI console or support tooling so customers can self-serve deep instance diagnostics. It reduces ticket escalation and improves platform reliability perception.

Consulting partners use the skill to rapidly diagnose customer EAS/DLC issues during paid incident response or health-check engagements. The concrete root-cause evidence shortens time-to-resolution and justifies high-value SRE retainers.

A startup packages this skill as the diagnostic brain of an AI agent that monitors EAS/DLC fleets and auto-triggers diagnosis before customers notice degradation. It sells as a per-node or per-diagnosis SaaS subscription.