Understanding your current infrastructure workloads, including applications and processes, is essential for effective cloud adoption. By analyzing workloads, you gain valuable insights into peak usage times, resource bottlenecks, and cost-saving opportunities. This knowledge informs resource allocation and aids in selecting the appropriate cloud service model and configurations. Thus, you can provision optimal resources, enhance performance, and manage costs efficiently during the cloud migration.

Leveraging workload metrics is crucial for right-sizing your infrastructure, whether on-premises or in the cloud. By closely monitoring metrics like CPU utilization, memory usage, and network traffic, you can identify inefficiencies, reclaim over-provisioned resources, and improve resource utilization, resulting in cost savings. Additionally, understanding workload requirements helps you select appropriate cloud services and instance types, optimizing costs and achieving better performance in the cloud.

Baseline performance metrics are essential for cloud migration, providing a benchmark to measure success. Establishing these metrics beforehand helps assess application performance in the new environment, guiding resource choices for optimal performance and cost-effectiveness. With clear baselines, realistic improvement goals can be set, enabling informed resource provisioning. This ensures effective utilization of cloud capabilities, striking the right balance between performance and cost. Moreover, baselines help identify unexpected deviations or issues, facilitating quick troubleshooting and optimization for a seamless migration experience.