Category: Tech Notes
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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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Networking Assessment for TKGI to VKS, NSX-T vs NSX VPC (TKGI to VKS Series, Part 7)
Assess your TKGI NSX-T pod networking against the NSX VPC and Antrea model VKS uses on VCF 9, with a construct by construct mapping table and the addressing math that decides the target design.
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Application Assessment and Migration Waves for TKGI to VKS (TKGI to VKS Series, Part 6)
Assess every TKGI application, pick between a Velero restore and a pipeline redeploy, and sort your workloads into migration waves that reach VKS on VCF 9 without a big-bang cutover.
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Inventorying the TKGI Estate Before a VKS Migration (TKGI to VKS Series, Part 5)
A read only, three pass inventory of a TKGI 1.18 estate, TKGI CLI for clusters, BOSH for the VMs, kubectl for workloads and storage, and why the persistent volumes, not the cluster count, decide your migration schedule.
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TKGI to VKS Migration Business Case and Phased Timeline (TKGI to VKS Series, Part 4)
TKGI is on a lifecycle clock and VCF 9 is the destination. Here is the business case, the drivers that set your real deadline, and a phased timeline you can hand a budget owner.
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TKGI to VKS Is a Migration, Not an Upgrade (TKGI to VKS Series, Part 3)
TKGI and VKS differ at the control plane, machine lifecycle, network and identity, so there is no in place upgrade path. Here is why this move is a migration, and what that word changes about budget, risk and rollback.
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TKGI vs VKS Architecture Compared, Component by Component (TKGI to VKS Series, Part 2)
TKGI and VKS set side by side, control plane, cluster lifecycle, networking, storage and identity, so the architecture gap behind the migration is concrete before you design the VCF 9 target.
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What VKS Is and Why TKGI Is Winding Down (TKGI to VKS Series, Part 1)
There is no upgrade path from TKGI to VKS. Part 1 explains what the vSphere Kubernetes Service is, why the old platform is winding down, and why the move is a migration you plan rather than a patch you apply.
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Data Science Interviews and Specialisation for Infra Engineers (Infra to Data Science Series, Part 26)
A data science loop runs four to six rounds, and the one that screens out switchers is the case and statistics round, not coding. Prepare for the interview that exists and specialise toward MLOps, where your operations background is an edge.
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Data Science Portfolio and Resume for Infra Engineers (Infra to Data Science Series, Part 25)
Your infrastructure projects are already a data science portfolio. This part translates an operations resume into outcomes a data team reads and turns your telemetry work into two or three projects that get the interview.
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Incident Prediction and AIOps, Honestly Assessed (Infra to Data Science Series, Part 24)
Incident prediction on your own telemetry usually fails on arithmetic, not modelling. A base rate check, an honest look at AIOps, and the narrow cases where prediction actually pays.
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Log Analysis and Clustering at Scale for Infra Telemetry (Infra to Data Science Series, Part 23)
Clustering raw log lines fails because ids and timestamps make every message unique. Mine templates with Drain3 first, then cluster the structure, and a day of logs collapses to a triage table you can read in a minute.
Architect’s Toolkit
PJ’s Tools
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VMware Cloud Foundation
- VCF Documentation
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- RVTools Download
Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
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- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
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- Hugging Face Models
Architecture & Design
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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