Tag: storage
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VKS Storage Strategies with Dynamic and Static Persistent Volumes (VCAP-VKS Exam Series, Part 26)
Objective 4.11 in a runnable lab: build a dynamic claim, adopt a retained volume statically through a Supervisor PVC handle, and expand a live PostgreSQL volume without losing the pod. Includes the failure lookup and the volumeHandle trap that catches vSphere CSI veterans.
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VKS Cluster Volume Snapshots, Creation, Restore and Deletion (VCAP-VKS Exam Series, Part 24)
Objective 4.9 hands on. Install the two webhook packages a VKS cluster needs before snapshots exist at all, take a CSI snapshot of a PostgreSQL claim, restore it into a new PVC, and learn why a snapshot is not a rollback.
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vSphere Namespaces and Zones, Configuration and Day Two Management (VCAP-VKS Exam Series, Part 17)
Objective 4.2 asks you to configure and manage vSphere Namespaces and Zones. Here is the runbook I use on a three zone VCF 9.0 Supervisor, the fields that lock at creation, and the CPU limit that quietly wedged an autoscaler for 41 minutes.
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Supervisor Storage Policies and Persistent Volume Integration Across Zones (VCAP-VKS Exam Series, Part 7)
Objective 2.3 hinges on one thing candidates skip: every storage policy you attach to a vSphere Namespace produces two storage classes, and picking the wrong one wedges every claim on a three zone namespace. Here is the lab, the failure and the exam angle.
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Kubernetes Architecture, Networking, Storage, Service Mesh and Helm (VCAP-VKS Exam Series, Part 3)
Objective 1.2 does not test Kubernetes trivia. It tests whether you can look at a VKS cluster and name the vSphere object that created what you are seeing. Four kubectl commands, two real failures, and the inheritance map that makes the rest of the blueprint readable.
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OpenShift Observability, Backup and Disaster Recovery (TKGI to OpenShift Series, Part 25)
A runbook for giving a freshly migrated OpenShift cluster real metric retention, restorable etcd snapshots and scheduled OADP application backups. Three recovery domains, three tools, and measured restore times for each.
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Migrating a Stateful Application with Persistent Volumes (TKGI to OpenShift Series, Part 19)
Moving a PostgreSQL StatefulSet and 61 GiB of live data from TKGI to OpenShift with Velero and OADP, including the storage class mapping, the pre-backup hook and the admission failure that costs most teams an afternoon.
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Storage and Data Assessment, vSphere CSI and Persistent Volumes (TKGI to OpenShift Series, Part 9)
A working method for inventorying persistent volumes on a TKGI estate, mapping storage classes onto OpenShift 4 vSphere CSI, and sizing restore windows before wave one starts. Includes the RWX trap and the storage class rename that leaves PVCs Pending forever.
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Observability, Backup and Disaster Recovery on VKS (TKGI to VKS Series, Part 25)
Observability, backup and disaster recovery on VKS, the safety net under a migrated estate. Stand up metrics, logs and traces, schedule Velero backups with volume data movement, and prove recovery with a restore drill that catches the crash-consistent database trap.
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Migrating a Stateful Application with Persistent Volumes on VKS (TKGI to VKS Series, Part 19)
Moving a 500 GB PostgreSQL volume from TKGI to VKS with Velero snapshot data movement, a storage class mapping that stops the PVC hanging, and a checkpoint hook that stops the database coming back corrupt.
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Velero on Source and Target, the Migration Toolchain (TKGI to VKS Series, Part 17)
Velero is the one toolchain that spans both estates in a TKGI to VKS migration. Install it on the source TKGI cluster and the target VKS cluster, wire shared S3 object storage, and prove a backup restores before any workload moves.
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Storage and Data Assessment for TKGI to VKS, vSphere CSI and Persistent Volumes (TKGI to VKS Series, Part 8)
A PVC that reads Bound is not proof the data moved. This part assesses every persistent volume in a TKGI estate by its backing First Class Disk and storage policy, then maps each one to a VKS target and a migration method that fits its size and downtime budget.
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About the Author

Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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