Overview of current EC2 instances for EKS clusters

AWS instances information

Clusters "folio-eks-2-us-west-2-folio-eks-2-ng-us-west2a-Node" and "folio-eks-2-us-west-2-folio-eks-2-ng-us-west2b-Node" are going to be deprecated. So, all investigation we will provide with next clusters: "folio-dev", "folio-perf", "folio-testing".

Current count of instances for different clusters

Total count nodes and their CPU and memory.

For our investigation we will use next instance type as the base m5.xlarge, much more details about instance types that we are currently using you can get on this page RANCHER-582 Investigate memory optimised instances usage for Rancher clusters - Folio Development Teams - FOLIO Wiki.

Total cost for On-demand model will be 79 * 0,192 = 15,1668$ per hour

Rancher capacity for each cluster 

Information about capacity for each cluster I took from Rancher->Cluster

folio-dev

folio-perf

folio-testing

Total

Analyses approximately amount EC2 instances if we will move to r5a.xlarge and their cost

Aws count instances base on total Memory that we are using

Some technical information about "r5a.xlarge" and "m5.xlarge".

Compare amount instances base on different type.

Total amount of possible nodes for r5a.xlarge and their CPU and memory.

Total cost for r5a.xlarge On-demand model will be 40* 0.226= 9.04$ per hour

Calculate total price for 1 year for different instance type and price models

Here you can find information about how many we should pay for different price modes and different amount instances.

For 1 instance for 1 year 

For amount instances that we got from previous investigations

Conclusion

As result of this investigation, I can say that based on On-Demand price model we will save about 40% of our money because we decrease count of instances. that we need for deploy our clusters. 

As we can see from this paragraph "Rancher capacity for each cluster", we do not use most amount CPU cores, but using a lot of memory of our EC2 instances. So, if we move to memory optimize EC2 instance, we will save our money such as they have much more Memory and we will run less nodes.