Tag: storage
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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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Cloud Storage and Data Transfer Costs, Where the Money Actually Hides (Cloud FinOps Series, Part 14)
A storage class has four prices, not one, and the cheap-looking tier is often the expensive choice for small objects. How minimum durations, minimum billable object sizes, retrieval fees and data transfer boundaries really work on AWS, Azure and Google Cloud.
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Datastores and storage basics: where your VMs actually live (VMware for Beginners, Part 6)
A plain-English guide to VMware datastores: what VMFS, NFS and vSAN are, how a VM lives as files on disk, and why thin provisioning is the storage choice most likely to page a junior engineer.
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The Network and Storage Behind Large-Scale AI (GenAI Series, Part 26)
At scale, the network between GPUs is often the real bottleneck. How NVLink, InfiniBand and RoCE, collective operations like all-reduce, and high-throughput storage keep GPUs fed.
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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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