This lesson examines Deploying Tanzu Kubernetes clusters, kubectl access, cluster specifications, node pools, scaling, persistent storage, registries, services, and upgrades within VMware vSphere with Tanzu: Deploy, Configure, Manage [V8]. The work supports a well-governed vSphere with Tanzu environment that enables namespaces and Kubernetes clusters with appropriate identity, networking, storage, lifecycle, and workload controls and uses observable evidence rather than assumption to judge readiness.
The demonstration traces Deploying Tanzu Kubernetes clusters, kubectl access, cluster specifications, node pools, scaling, persistent storage, registries, services, and upgrades from requirement through execution and review. Learners see where evidence should be collected, how cluster deployment trace and application smoke test supports validation, and which warning signs require investigation.
Build or execute Deploying Tanzu Kubernetes clusters, kubectl access, cluster specifications, node pools, scaling, persistent storage, registries, services, and upgrades for a defined scenario. Introduce the condition “a cluster upgrade stalling because a node pool cannot drain its workloads,” inspect the evidence, correct the cause without discarding the audit trail, and document the accepted state in cluster deployment trace and application smoke test.
Diagnose Deploying Tanzu Kubernetes clusters, kubectl access, cluster specifications, node pools, scaling, persistent storage, registries, services, and upgrades by checking effective state, ownership, dependencies, health, logs, and recent changes. Use cluster deployment trace and application smoke test to locate the earliest divergence. Treat “a cluster upgrade stalling because a node pool cannot drain its workloads” as a hypothesis until the same test passes after correction and under a boundary condition.
Learners can apply Deploying Tanzu Kubernetes clusters, kubectl access, cluster specifications, node pools, scaling, persistent storage, registries, services, and upgrades, explain the decisions made, and defend the result with cluster deployment trace and application smoke test.