How do performance metrics support optimization efforts in hybrid clouds?

Performance metrics play a crucial role in the optimization of hybrid cloud environments by assisting in understanding both application performance and infrastructure utilization. This dual insight is essential for several reasons.

First, application performance metrics help identify bottlenecks, inefficiencies, or resource limitations affecting user experience or application responsiveness. By analyzing these metrics, IT teams can pinpoint specific areas that require adjustments, whether that involves optimizing code, scaling resources, or redeploying workloads to different parts of the hybrid cloud infrastructure.

Second, infrastructure utilization metrics provide clarity on how well resources are being used across the hybrid cloud landscape. Understanding CPU, memory, storage, and network usage is vital for ensuring that the cloud environment is not over-provisioned, which can lead to unnecessary costs, or under-provisioned, which can hinder performance.

By combining insights from both application and infrastructure performance, organizations can make informed decisions when it comes to resource allocation, scaling, and optimizing workload distribution. This comprehensive approach ensures that both the workloads and the underlying resources are aligned for optimal performance and cost efficiency.

In contrast, the other choices do not capture this comprehensive benefit. Focusing solely on user feedback does not provide the technical data necessary for optimization. Insights based solely on historical data lack the real-time