Many HPC systems check the state of a node before running an application, but not very many check that the performance of the node is acceptable before running the job.
When Kubernetes needs to scale applications, it searches for free nodes that meet a container's CPU and main memory requirements; however, when the existing hardware is at full capacity, the Kubernetes Cluster Federation project (KubeFed) takes the pain out of adding clusters.
They say data is "the new oil," but all that data you collect is only valuable if it leads to new insights. An open source analysis tool called KNIME lets you analyze data through graphical workflows – without the need for programming or complex spreadsheet manipulation.
Parallel programming is not easy, but one tool you can use to help parallelize your application is OpenMP. Most compilers are compatible with OpenMP and allow you to parallelize your code on a single node.
Effectively monitoring your cluster can be one of the keys to understanding how the hardware and software are interacting. In many cases, this means examining the performance of a single node.
