Focus on running and observing AI inference workloads in AKS to build practical skills in GPU scheduling, model serving, and cost management.
Running a small farm and architecting a cloud-native stack both require meticulous planning, resilience, and continuous adaptation to thrive under unpredictable conditions.
When shifting from Kubernetes to Slurm, prioritize workload assessment, tooling integration, and phased migration to minimize disruption.
Free OSS tools can breathe life into underused Kubernetes clusters, but success hinges on aligning tooling with operational realities and constraints.
Kubernetes Deployments manage ReplicaSets instead of Pods to enable rolling updates, rollbacks, and version control through a layered architecture.
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