Tag: TKGI
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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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Networking Assessment, NSX-T and NCP to OVN-Kubernetes (TKGI to OpenShift Series, Part 8)
NCP gave every TKGI namespace its own NSX-T segment, T1 router and SNAT IP, while OVN-Kubernetes gives you a flat overlay and a node IP. Here is the full capability mapping, and why egress identity is the rebuild that actually costs you.
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Security Context Constraints and Pod Admission, the Biggest Portability Gap (TKGI to OpenShift Series, Part 7)
Security Context Constraints reject workloads that ran for years on TKGI, and no migration tool fixes that for you. Field level mapping, five real rejection errors, and the remediation paths ranked by cost.
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Application Assessment and Migration Waves for OpenShift (TKGI to OpenShift Series, Part 6)
Scoring 47 TKGI namespaces on six signals turns a flat inventory into four migration waves. Here is the rubric, the wave rules, and why business criticality is the wrong sort key.
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Inventorying the TKGI Estate (TKGI to OpenShift Series, Part 5)
Before you design an OpenShift target you need an honest picture of what TKGI is actually running. Here is the read only discovery sweep I run across a three cluster estate, and the four things it turns up that nobody expected.
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Business Case, Subscription Costs and a Phased Timeline (TKGI to OpenShift Series, Part 4)
Sizing OpenShift core pair subscriptions for a three cluster TKGI estate, the ten month double run window that dominates the budget, and a twelve month phased plan against the October 2027 clock.
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Why This Is a Migration, Not an Upgrade (TKGI to OpenShift Series, Part 3)
No tool converts a TKGI cluster into an OpenShift cluster. Here is the carry over ledger for a real estate, and what calling this an upgrade costs you in capacity, schedule and credibility.
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TKGI and OpenShift Architecture Compared, Component by Component (TKGI to OpenShift Series, Part 2)
A component by component architecture comparison of TKGI and OpenShift Container Platform 4, covering control planes, node lifecycle, networking, admission control and the operational trade offs that decide migration effort.
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What OpenShift Offers a TKGI Estate, and Why TKGI Is Winding Down (TKGI to OpenShift Series, Part 1)
TKGI reaches official End of Support in October 2027 and is already incompatible with VCF 9.1 and NSX 9.1. Here is why OpenShift 4 is a credible landing place, how it maps to what you run today, and the migration tooling assumption that costs teams a sprint.
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Decommissioning TKGI and Ops Manager After the VKS Migration (TKGI to VKS Series, Part 26)
TKGI is idle and VKS carries production, so now you retire the old platform. A step by step teardown of TKGI clusters, NSX-T objects, BOSH and Ops Manager, with the point of no return marked and the capacity handed back to VCF 9.
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Day-2 Operations on VKS, Lifecycle, Upgrades and Scaling vs BOSH (TKGI to VKS Series, Part 24)
After the cutover, Day-2 on VKS replaces BOSH and Ops Manager with a declarative model. Here is how to upgrade Kubernetes versions, scale node pools, and roll back safely, with the commands that map to your old TKGI habits.
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Multi-Tenancy and Self-Service from TKGI Plans to vSphere Namespaces (TKGI to VKS Series, Part 10)
On TKGI a tenant meant a whole cluster. On VKS it means a vSphere Namespace with its own quota, roles and network. Here is how to map TKGI plans and self-service onto the namespace model without recreating cluster sprawl.
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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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