VCP-TKO 2023: Tanzu Kubernetes Operations and the Current VKS Path

VMware Certified Professional – Tanzu for Kubernetes Operations 2023 was a year-specific credential for professionals administering Kubernetes on VMware platforms. Broadcom’s retired-certification record shows VCP-TKO 2023 retired on December 31, 2023 and succeeded by VCP-TKO 2024. The old exam 2V0-71.23 remained associated with the 2024 credential for a period, but the current 2026 VMware certification catalog has moved toward VMware Cloud Foundation and vSphere Kubernetes Service.

The historical 2V0-71.23 exam. Current Broadcom certification now includes VMware Certified Advanced Professional – VMware Cloud Foundation VKS, aligned to VKS 9.0 and exam 3V0-24.25. That makes this page a bridge between the Tanzu-for-Kubernetes-Operations era and the current VCF Kubernetes service model.

The durable Kubernetes concepts remain highly valuable: clusters, control planes, worker nodes, networking, storage, namespaces, RBAC, lifecycle, observability, and workload troubleshooting. General Kubernetes fundamentals remain relevant even when VMware changes the product packaging around them.

The certification changed because VMware’s Kubernetes platform changed

Tanzu branding once organized a large part of VMware’s Kubernetes certification story. The current Broadcom portfolio instead emphasizes VMware Kubernetes Service inside VCF. Candidates need to update product-specific knowledge while preserving the Kubernetes operational foundation.

A legacy credential page should distinguish Kubernetes itself, the Tanzu products and workflows represented by the old certification, and the current VKS implementation. Mixing them together can make historical commands or architecture appear current.

For study, create two columns: durable Kubernetes skills and VMware-version-specific implementation. The first column transfers broadly. The second must be refreshed from current Broadcom documentation.

Cluster architecture should be understood before product automation

Every managed Kubernetes platform ultimately supports a control plane, worker capacity, cluster networking, service discovery, storage, identity, and lifecycle. VMware products automate or integrate those elements, but administrators still need to know what happens when one layer fails.

If nodes are healthy but workloads cannot communicate, the issue may be networking or policy. If pods remain pending, capacity, scheduling constraints, storage, or image access may be involved. If the API becomes unavailable, control-plane health matters. Product tooling is most useful when the administrator understands the underlying Kubernetes symptom.

Practice describing a cluster without VMware-specific nouns first. Then map each responsibility to the VMware service or component that provides it. This prevents tool familiarity from replacing platform understanding.

Namespaces and RBAC define operational boundaries

Kubernetes namespaces provide a logical scope for resources, policy, and administration, while RBAC controls which identities can perform actions. In enterprise platforms, these boundaries become essential because multiple teams share clusters or infrastructure.

Least privilege should be designed around actual responsibilities. Developers may need to deploy into an application namespace without receiving cluster-wide administrative rights. Platform operators need broader access but still benefit from role separation and audited actions.

When authorization fails, distinguish authentication from authorization. The user may be correctly identified but lack the required permission. Check role bindings, service accounts, namespace scope, and policy before assuming the cluster is broken.

Networking links Kubernetes abstractions with the underlying VCF fabric

Pods, services, ingress, load balancing, network policy, DNS, and node connectivity create a layered network model. VMware environments add the underlying vSphere and NSX context that carries and secures that traffic.

Candidates should be comfortable tracing traffic from pod to pod, pod to service, and external client to workload. The broader service mesh and Kubernetes architecture material helps distinguish core cluster networking from an additional service-mesh layer.

Troubleshooting should identify where packet flow stops. DNS failure, service selector mismatch, network policy, ingress configuration, NSX policy, or underlay connectivity can all create similar user symptoms. A layered model avoids guessing.

Storage and stateful workloads require more than a successful pod start

Persistent workloads depend on storage classes, persistent volume claims, underlying storage, access modes, capacity, and lifecycle. A pod that starts successfully may still fail its application function if storage is slow, unavailable, or incorrectly attached.

Administrators should understand dynamic provisioning and what happens when workloads move. Backup and recovery planning also matters because a Kubernetes manifest can recreate configuration but not necessarily the application data.

Practice separating cluster-resource recovery from data recovery. Rebuilding a deployment object is different from restoring the state that the application actually owns.

Lifecycle management includes Kubernetes and platform versions

Clusters need upgrades, security fixes, node maintenance, certificate management, and compatibility checks. Managed platforms simplify parts of this work but do not remove the need for planning.

An upgrade should consider workload disruption, API deprecations, add-on compatibility, storage, network components, and rollback or recovery. Test important applications against the target version before broad production change.

Broader Kubernetes delivery practices connect platform upgrades with workload deployment discipline. Platform and application teams need coordinated change when cluster behavior affects manifests or controllers.

Observability and troubleshooting are platform responsibilities

Kubernetes generates a large amount of operational evidence: events, logs, metrics, object status, node conditions, controller state, and application health. Administrators need a method for narrowing incidents rather than collecting everything indiscriminately.

Start with the user-visible symptom and identify scope. One pod, one namespace, one node, one cluster, or every cluster implies different failure domains. Then inspect recent changes, scheduling, events, network, storage, identity, and platform health in that order.

Monitoring should also expose capacity and trends before failure. CPU, memory, pod density, storage, control-plane health, certificate age, and workload error rates can reveal risk while service is still available.

The current certification path points toward VCF VKS

Broadcom’s current VCF certification catalog includes the advanced VMware Cloud Foundation VKS 3V0-24.25 exam and credential for professionals who deploy, operate, secure, and troubleshoot VKS environments. That is a different program shape from the old VCP-TKO annual credential.

Professionals who want broader private-cloud administration can compare VCP-VCF Administrator, where Kubernetes is part of a larger VCF responsibility rather than the entire certification focus.

The decision should follow role scope. A platform administrator who owns the whole private cloud needs broad VCF knowledge. A Kubernetes specialist may need deeper VKS and cluster operations. Historical TKO experience supports both paths because it builds the cluster reasoning underneath the product.

Old TKO objectives can still be excellent practice for Kubernetes administration concepts and for organizations running earlier Tanzu-based platforms. They should not be used as evidence that VCP-TKO 2023 remains a current certification target.

Compare old objectives with current VKS documentation and note what changed in architecture, lifecycle, networking, and administrative workflow. This is more valuable than simply memorizing new names because it explains why the platform evolved.

Candidates who need broader context can review Kubernetes administrator and developer roles. VMware certification sits on top of Kubernetes fundamentals; it does not replace them.

Kubernetes schedules pods based on requested resources, node state, labels, affinities, taints, tolerations, and other constraints. A pending pod does not automatically mean the cluster is out of capacity; it can mean no node satisfies the scheduling rules.

Administrators should compare requests and limits with actual usage. Requests influence scheduling and guaranteed capacity, while limits can constrain runtime behavior. Poor settings can waste cluster resources or create instability when workloads exceed what was planned.

In VMware environments, the cluster’s virtual-machine and infrastructure capacity also matter. Kubernetes scheduling can be logically correct while the underlying vSphere layer lacks room to create or power the nodes required by the platform.

Cluster security includes API access, RBAC, workload identity, secrets, network policy, image trust, admission controls, node security, and platform configuration. VMware adds infrastructure and management layers that also require least privilege and controlled administration.

Secrets should not be treated as ordinary configuration. Understand where credentials are stored, how workloads receive them, how they are rotated, and what appears in logs or manifests. A secure platform reduces the number of people and systems that can retrieve sensitive values.

Network policy can reduce lateral movement inside clusters, but it needs a correct application-flow model. Blocking by default without understanding dependencies can create fragile emergency exceptions; allowing all traffic removes an important defense layer.

Many Kubernetes incidents sit at the boundary between platform and workload ownership. The platform team may own clusters, nodes, network, storage, and upgrades while application teams own deployments, configuration, and service behavior. Clear responsibility reduces time lost during incidents.

The platform engineering skill map helps place Kubernetes operations inside that wider responsibility. Current VKS work increasingly resembles platform engineering rather than the administration of an isolated cluster.

Define service expectations for cluster provisioning, upgrades, observability, backup, security, and support. Certification knowledge becomes more useful when it can be translated into an operating model that application teams understand.

Kubernetes control-plane recovery, workload manifests, persistent data, secrets, and external dependencies do not all share the same recovery mechanism. A platform team should know what the managed service protects automatically and what still depends on application or storage backups.

Recovery objectives should be tested. Restoring a namespace definition or deployment is not sufficient if persistent data is missing or an external secret store cannot be reached. Likewise, a recovered data volume is not useful if the cluster cannot recreate the workload safely.

Practice recovery as a sequence: restore platform availability, verify identity and networking, recover persistent state, redeploy workloads, and validate application behavior. The exact order can vary, but the dependencies should be understood before an incident.

Current VKS preparation should include the underlying vSphere and VCF dependencies

VKS does not operate in isolation. Cluster services depend on vSphere capacity, networking, storage, identity, lifecycle, and VCF platform health. A Kubernetes specialist who cannot recognize an infrastructure failure may spend too long debugging manifests that are not the cause.

Broader VMware Cloud Foundation skills provide the context needed to understand those dependencies. The current advanced VKS credential expects applied platform operations, not only generic Kubernetes command knowledge.

Use labs that deliberately break infrastructure assumptions: remove capacity, disrupt network reachability, change storage availability, or alter permissions. Then observe how those failures surface inside Kubernetes. Cross-layer troubleshooting is one of the most transferable skills from the old TKO path into current VKS work.

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