Container Recommendations

In addition to account-level discounts and resource utilization recommendations, Yotascale offers Container Pod Request Rightsizing. This feature empowers customers to optimize their container workload vCPU and vMemory allocations, often resulting in significant cost savings exceeding 50%.

Rightsizing CPU and memory allocations typically yields the highest cost-saving potential for Kubernetes clusters. Yotascale supports all major Kubernetes distributions across AWS, Azure, and GCP.

Settings

Yotascale provides customizable default settings for container recommendations:

• Utilization Goal: Choose from Production, Development, or High Availability presets to align recommendations with workload priorities.

• Calculation Period: Select a look-back period of 7, 15, or 30 days to analyze usage patterns.

• Utilization Percentage: Customize the target utilization percentage for CPU and memory resources as a percentage of reserved/requested resources. Defaults are:

  • High Availability: 50%

  • Production: 65%

  • Development: 80%

• Number of Workloads: Customize the number of workloads to optimize. By default, Yotascale focuses on the top 100 most expensive workloads.