Which indicators measure the performance of virtual machines?

The performance of virtual machines is most accurately measured using VM metrics. VM metrics encompass various data points specifically related to the functioning of virtual machines, such as CPU usage, memory consumption, disk I/O, and network performance. By monitoring these metrics, system administrators and cloud operators can gauge how effectively a virtual machine is performing its tasks, identify bottlenecks, and ensure optimal resource utilization.

Understanding VM metrics allows for precise assessment of resource allocation and helps in troubleshooting performance issues related to specific VMs. These metrics are essential for virtualization management, as they directly reflect the health and performance of the virtualized environment.

While resource allocation metrics can provide insight into how resources are distributed among virtual machines, they are not exclusively focused on measuring performance. Service Level Indicators (SLIs) typically relate to broader service performance and quality definitions rather than the performance of individual virtual machines. Application Throughput Metrics usually pertain to the performance of applications rather than the virtual machines themselves. Therefore, VM metrics serve as the most relevant measure for evaluating the performance of virtual machines.