What are the Methods of Cloud Optimization?

Cloud optimization is performed by applying one or more of the following operations to IT infrastructure:

Downscale

Scale down Auto Scaling Groups’ scaling parameters to align with actual application demand patterns

Downsize

Migrate the workload to smaller, less expensive instance size (within the same instance family) because the current instance is not fully utilized

Downsize – Optimal Family

Downsize the cloud instance and at the same time move the workload to a better-suited instance family to better serve the workload. For example, move a workload from a general purpose m5.xlarge to a memory optimized r5.large

Modernize

Leverage newer, cheaper instance types

Modernize – Optimal Family

Modernize the cloud instance and at the same time move the workload to a better-suited instance family to better serve the workload. For example, move a workload from a general purpose m4.xlarge to a memory optimized r5.xlarge

Terminate

Turn off unused systems

Upscale

Scale up Auto Scaling Groups’ scaling parameters to align with actual application demand patterns

Upsize

Move the workload to a larger instance to avoid performance risks

Upsize – Optimal Family

Upsize the cloud instance and at the same time move the workload to a better-suited instance family to better serve the workload. For example, move a workload from a general purpose m4.medium to a memory optimized r5.2xlarge

Cloud Optimization Methods Unique to Densify

For all recommendations, Densify includes sizing and overall cost impact individually and for logical groups of systems. No user configuration is necessary because Densify Cloud Advisors work with the customer to determine if there are recommendations or instance types that are out of scope; analytics are tuned accordingly.

Densify’s results are based on its patented ability to match predicted workload demand with normalized cloud supply.