What metrics can PerfStack correlate across devices?

What metrics can PerfStack correlate across devices?

• A. CPU, memory, interface utilization, and latency.
• B. Only CPU and memory.
• C. Only interface errors and discards.
• D. Only DNS lookup time.

Answer: (A)

PerfStack is built to compare performance data from multiple devices on the same timeline, so you can see how different parts of the environment relate to each other. The most useful cross-device correlations include a mix of server and network metrics that often drive overall performance: CPU and memory on hosts show resource pressure, interface utilization reveals network load, and latency reflects end-to-end responsiveness. Bringing these together allows you to spot how a spike in one area (like high interface utilization) might align with latency increases or CPU spikes on a connected device, helping you pinpoint root causes. That’s why including CPU, memory, interface utilization, and latency captures the common, meaningful cross-device relationships PerfStack is designed to analyze. The other options are terlalu narrow: CPU and memory alone miss network and end-to-end performance signals; focusing only on interface errors or DNS lookup time doesn’t provide the broader, multi-device view PerfStack offers.

PerfStack is built to compare performance data from multiple devices on the same timeline, so you can see how different parts of the environment relate to each other. The most useful cross-device correlations include a mix of server and network metrics that often drive overall performance: CPU and memory on hosts show resource pressure, interface utilization reveals network load, and latency reflects end-to-end responsiveness. Bringing these together allows you to spot how a spike in one area (like high interface utilization) might align with latency increases or CPU spikes on a connected device, helping you pinpoint root causes.

That’s why including CPU, memory, interface utilization, and latency captures the common, meaningful cross-device relationships PerfStack is designed to analyze. The other options are terlalu narrow: CPU and memory alone miss network and end-to-end performance signals; focusing only on interface errors or DNS lookup time doesn’t provide the broader, multi-device view PerfStack offers.