Which node-level health metrics are tracked and how can they inform capacity planning?

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Multiple Choice

Which node-level health metrics are tracked and how can they inform capacity planning?

Explanation:
Network latency is the most actionable signal for capacity planning because it directly reflects how long it takes for traffic to traverse the node and its path, capturing the impact of congestion, queuing, and bottlenecks. When latency rises or shows persistent spikes, you can infer that the current capacity is becoming insufficient and plan upgrades—such as more bandwidth, faster links, or routing improvements—to maintain performance. While other metrics like disk space, CPU, memory, or service status gauge the health of individual resources, they don’t consistently translate to end-user experience or capacity constraints. Inventory data like hostname or OS version doesn’t indicate performance capacity at all. So tracking latency alone provides a clear, actionable basis for forecasting and planning capacity needs.

Network latency is the most actionable signal for capacity planning because it directly reflects how long it takes for traffic to traverse the node and its path, capturing the impact of congestion, queuing, and bottlenecks. When latency rises or shows persistent spikes, you can infer that the current capacity is becoming insufficient and plan upgrades—such as more bandwidth, faster links, or routing improvements—to maintain performance. While other metrics like disk space, CPU, memory, or service status gauge the health of individual resources, they don’t consistently translate to end-user experience or capacity constraints. Inventory data like hostname or OS version doesn’t indicate performance capacity at all. So tracking latency alone provides a clear, actionable basis for forecasting and planning capacity needs.

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