Which practices help monitor system health and performance for CLM?

• A. Do not monitor; rely on user reports
• B. Monitor metrics (latency, error rates), review logs, optimize workflows, and schedule maintenance windows
• C. Monitor only uptime
• D. Collect metrics but never review them

Answer: (B)

Proactive, comprehensive monitoring of CLM health means not just collecting data but actively using it to keep performance stable. Tracking metrics like latency and error rates gives a real-time and trend view of how fast the system responds and how often things fail. If latency climbs or errors rise, you have early warning signs to investigate before users are affected. Reviewing logs adds depth to that picture, providing detailed information about specific events, timestamps, and the sequence of actions across components, so you can pinpoint root causes and understand how different parts of the system interact.

Optimizing workflows tackles the actual processes that may become bottlenecks—by tuning steps, improving orchestration, enabling parallelism where possible, or adjusting resource use you can reduce delays and improve overall efficiency. Scheduling maintenance windows helps you plan necessary updates and maintenance with minimal disruption, communicating ahead of time and controlling when changes occur so system health remains predictable.

Other approaches fall short because they are reactive or incomplete. Relying on user reports alone delays detection and misses systemic issues; monitoring only uptime overlooks latency and error behavior that affect user experience; collecting metrics without reviewing them means you won’t derive actionable insights to improve performance.