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Kubernetes v1.35 and Kubernetes on GNU/Linux on Z
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Kubernetes Blog ☛ Kubernetes v1.35: Introducing Workload Aware Scheduling
Scheduling large workloads is a much more complex and fragile operation than scheduling a single Pod, as it often requires considering all Pods together instead of scheduling each one independently. For example, when scheduling a machine learning batch job, you often need to place each worker strategically, such as on the same rack, to make the entire process as efficient as possible. At the same time, the Pods that are part of such a workload are very often identical from the scheduling perspective, which fundamentally changes how this process should look.
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Kubernetes on GNU/Linux on Z
This year, I had the task of setting up a Kubernetes environment on a GNU/Linux Partition on a s390x system. At first sight, this sounds easy, there are offerings out there that you can purchase. The second look however can make you wonder. There is a structural mismatch between typical GNU/Linux on Z environments and Kubernetes:
While GNU/Linux on Z typically uses two datacenters as two high availability zones, Kubernetes requires you two have at least three.