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In VCF 9.0 Workload Management, workload backup for VKS clusters (and vSphere Pods) is performed using Velero, specifically theVelero Plugin for vSpherefor Supervisor/VKS scenarios. The documentation describes that you must firstprovide an S3-compatible object storeas part of installing and configuring the Velero Plugin for vSphere, because backup data (Kubernetes metadata and volume snapshot data movement) relies on object storage rather than “namespace storage.” The backup workflow further indicates that when you create a backup, the system uploadsKubernetes metadata to the object store, and persistent volume snapshot handling is coordinated through the plugin components (Snapshot/Upload custom resources).

Therefore, the correct configuration pattern is to point Velero’s backup target (BackupStorageLocation) at anS3-compatible object storeendpoint so metadata and snapshot payloads have a durable destination. This aligns with the documented prerequisite that object storage is required to enable backup/restore operations for persistent workloads, and it is the mechanism Velero uses to store backup artifacts for later restore operations in VKS environments.

VCF 9.0 describes VKS as providing self-service, declarative lifecycle management for Kubernetes clusters and explicitly identifiesCluster APIas the mechanism that enables Kubernetes-style lifecycle automation. The documentation states that “The Cluster API provides declarative, Kubernetes-style APIs for cluster creation, configuration, and management,” and that its inputs include resources describing “the virtual machines that make up the cluster” plus “cluster add-ons.” This directly maps to automated lifecycle management: a desired-state YAML is reconciled by controllers that create, update, and maintain the control plane and worker node resources without manual, imperative procedures.

The same VCF 9.0 content also notes VKS exposes “three layers of controllers” for lifecycle management and lists Cluster API as one of those layers, reinforcing that Cluster API is foundational for ongoing cluster operations (create, scale, upgrade, reconcile). Contour is an ingress controller (traffic routing), kubeadm is a Kubernetes bootstrap tool (not the VKS lifecycle controller framework), and Grafana is observability/visualization (not cluster lifecycle).