Overview: WJH (Workload Job Handler) real-time event analysis is a critical troubleshooting tool for NVIDIA AI Networking professionals. It enables monitoring and diagnosing network events as they occur, facilitating rapid identification and resolution of performance bottlenecks or failures.
Key Concepts
WJH Events: Discrete occurrences related to workload processing, such as job start, completion, errors, and resource contention.
Real-Time Monitoring: Continuous capture and display of events to provide immediate insight into system behavior.
Event Types: Includes informational, warning, and error events, each indicating different severity levels.
Primary Commands and Usage
wjh monitor: Initiates live event streaming from the WJH system.
wjh status: Displays current system status and recent event summaries.
wjh filter <criteria>: Filters events by job ID, severity, or timestamp for focused analysis.
Start with live monitoring during workload execution to capture real-time issues.
Use filters to isolate events related to specific jobs or error types.
Correlate WJH events with other diagnostics such as cl-resource-query and ibping for comprehensive troubleshooting.
Document recurring event patterns to identify systemic issues.
Tips for Effective Troubleshooting
Maintain updated WJH logs for post-mortem analysis.
Combine WJH event data with system metrics (CPU, GPU, storage latency) for holistic insight.
Leverage automated alerting on critical WJH event codes to reduce response time.
Summary
WJH real-time event analysis is an indispensable tool for NVIDIA-Certified Professional: AI Networking candidates and practitioners. Mastery of WJH commands, event interpretation, and integration with other diagnostic utilities enhances troubleshooting efficiency and system reliability.