Load intensive processes and operators - RM Server autoscaling testing
I have set up a Kubernetes cluster for RM-Server using EKS and I need to run a series of tests for Horizontal, Vertical and Cluster scaling. I need to generate a lot of load, and I would like to use some real world processes to generate load.
- What kind of processes/operators would exhaust the memory?
- What kind of processes/operators are heavier on the CPU?
- Is there any process publicly available that I can use, either for prediction, classification or something else?
I do not really care about what I am processing, as long as I can exhaust memory and/or CPU while using a real data set.