In the context of cloud service performance, what does monitoring CPU metrics help track?

Monitoring CPU metrics helps track resource overutilization as it provides insight into the processing capacity being consumed by applications and services running in the cloud environment. By analyzing CPU utilization metrics, administrators can identify whether the allocated CPU resources are adequate for the workloads being executed. High CPU usage might indicate that instances are under heavy load and could benefit from scaling up (adding more CPU resources) or scaling out (adding more instances) to ensure optimal performance. This monitoring is crucial for maintaining the efficiency and responsiveness of cloud services, as resource overutilization can lead to bottlenecks, increased latency, and degraded user experiences.

In contrast, data redundancy is concerned with ensuring that data is backed up and can be recovered in case of a failure, which is not directly related to CPU performance. Security compliance relates to adhering to regulations and standards, which does not involve CPU metrics directly. Service level agreements (SLAs) define the expected performance and availability guarantees but rely on overall performance metrics rather than specifically focusing on CPU metrics alone. Therefore, monitoring CPU metrics is primarily aligned with assessing and managing resource overutilization within cloud services.