KB 433183: Fix VKS Cluster Upgrades Blocked by “SystemChecksSucceeded condition is not True”

TL;DR

Broadcom KB 433183 describes a VKS 3.5 and later upgrade guardrail that blocks a version update when the cluster is likely to become stuck during rolling node replacement. The two broad causes are PodDisruptionBudgets with zero allowed disruptions and third-party admission webhooks that can prevent critical system pods from being created.

Treat the condition as a routing signal, not an instruction to force the upgrade. Read the detailed condition message from the Supervisor context, switch to the workload-cluster context for diagnosis, remediate the exact blocker, and confirm that SystemChecksSucceeded returns to True before changing the desired VKR version.

The safest operational posture is simple: repair the workload or integration first, use temporary removal only with backups and owner approval, never delete VMware system webhooks or force-delete draining nodes, and reserve the documented dangerous-skip annotations for support-backed exceptions.

Introduction

A failed precheck is inconvenient during a maintenance window. A half-completed Kubernetes upgrade is worse.

That is the operational logic behind the SystemChecksSucceeded condition is not True error. VKS is refusing to begin a rolling upgrade because it has detected a cluster condition that could prevent nodes from draining, rebuilding, or returning to service. The blocker may look like an application availability setting or a security integration, but during lifecycle operations it becomes part of the platform dependency chain.

VKS 3.5 introduced upgrade readiness checks for PodDisruptionBudgets. VKS 3.6 expanded the model to identify known third-party webhook conflicts. Broadcom’s VKS 3.6 guidance makes the wider point: policy engines, admission webhooks, and security or management integrations can unintentionally block lifecycle actions even when they are working as designed during normal application operations.

The mistake is to see the precheck as an obstacle to bypass. The better interpretation is that VKS has surfaced a dependency before it turned into a stuck node, an unhealthy CNI, or an incomplete cluster rollout.

This runbook shows how to identify the failing branch, correct it safely, validate readiness, and prevent the same blocker from reappearing at the next maintenance window.

The Scenario and Scope

The typical failure occurs when an administrator attempts to update a VKS cluster to a higher VMware Kubernetes Release version and receives an error similar to this:

update cannot be initiated as <cluster-name>'s
SystemChecksSucceeded condition is not True.

The useful information is not only the condition status. It is the accompanying message.

Common message patterns include:

This article applies to VKS clusters on vSphere Supervisor, with the specific KB scoped to VKS 3.5 and later. The third-party webhook readiness checks are associated with VKS 3.6 behavior.

The objective is not merely to make the error disappear. The objective is to prove that a rolling node replacement can complete without violating workload availability, breaking system networking, or creating an unsupported recovery state.

Why the Upgrade Gate Exists

A VKS upgrade is a controlled reconciliation process. Nodes are replaced in sequence, system services must initialize on the replacement nodes, workloads must move safely, storage attachments must transition, and cluster health must stabilize before the next part of the rollout proceeds.

Two dependencies are especially important:

• Eviction must be possible. A workload pod on a draining node must be allowed to move without violating its PodDisruptionBudget.
• System pod creation must be possible. Admission webhooks must not prevent the registry, CNI, CSI, authentication, or other lifecycle-critical components from starting on replacement nodes.

The following decision flow is the practical model for KB 433183. Notice that both branches begin with the condition message and end with a fresh readiness check. The workflow does not begin with a bypass annotation.

The condition is therefore a lifecycle readiness control. It translates an application or integration configuration into a platform-level go or no-go decision.

Prerequisites and Safety Checks

Before changing a PDB or webhook, establish the operating boundary. Most avoidable damage in this scenario comes from acting in the wrong Kubernetes context, deleting the wrong object, or placing the only backup on a node that the upgrade later replaces.

Several actions should be explicitly prohibited in the change plan:

• Do not manually delete a node that is stuck in Deleting or Ready,SchedulingDisabled state.
• Do not delete Antrea, Calico, CSI, or other VMware system pods to force a drain.
• Do not delete VMware system webhook configurations or webhooks installed by VKS standard packages.
• Do not assume every webhook with a familiar product name is safe to remove without identifying its owner and reconciliation behavior.
• Do not store the only configuration backup on a control plane or worker node that may be replaced.
• Do not use a dangerous-skip annotation simply because the maintenance window is already open.

Confirm the Failing Condition from the Supervisor Context

Start in the Supervisor context because the VKS Cluster object and its lifecycle conditions are managed there.

First, describe the affected Cluster object:

kubectl describe cluster <cluster-name> -n <namespace>

Look for the SystemChecksSucceeded condition and read its Status, Reason, and Message fields. The message determines which branch of the runbook applies.

For a compact condition view, use Kubernetes JSONPath to print every Cluster condition:

kubectl get cluster <cluster-name> -n <namespace> 
  -o jsonpath='{range .status.conditions[*]}{.type}{"t"}{.status}{"t"}{.reason}{"t"}{.message}{"n"}{end}'

Capture the current Cluster, control-plane, worker, and Machine state before making changes:

kubectl get cluster -n <namespace> <cluster-name> -o wide
kubectl get kubeadmcontrolplane -n <namespace> -o wide
kubectl get machinedeployment -n <namespace> -o wide
kubectl get machine -n <namespace> -o wide

What successful evidence looks like:

• The affected Cluster object is unambiguous.
• The false condition contains a specific message.
• No upgrade has already progressed into an unstable partial state.
• Current control-plane and worker versions are recorded.
• Machine objects are not already cycling, stuck, or unexpectedly deleting.

If the message references PDBs, switch to the workload-cluster context and follow the PDB branch. If it names a webhook or reports MisconfiguredSoftwareChecks, follow the webhook branch.

Runbook Branch: PodDisruptionBudgets Blocking Rollouts

A PDB with zero allowed disruptions is not automatically wrong. It may reflect a healthy singleton workload with minAvailable: 1, or it may reflect a normally tolerant PDB whose workload has already lost a replica. In both cases, Kubernetes currently has no voluntary disruption available for the upgrade.

The key question is not whether a PDB exists. The key question is why its calculated disruptionsAllowed value is zero at the moment the node needs to drain.

Inventory Every PDB and Identify Zero-Disruption Objects

In the workload-cluster context, run:

kubectl get pdb -A

For a more review-friendly output:

kubectl get pdb -A 
  -o custom-columns='NAMESPACE:.metadata.namespace,NAME:.metadata.name,ALLOWED:.status.disruptionsAllowed,MIN_AVAILABLE:.spec.minAvailable,MAX_UNAVAILABLE:.spec.maxUnavailable,HEALTHY:.status.currentHealthy,DESIRED_HEALTHY:.status.desiredHealthy,EXPECTED_PODS:.status.expectedPods'

Focus on PDBs where ALLOWED is 0, but do not stop at the table. Inspect the selected PDB and the workload it protects:

kubectl get pdb <pdb-name> -n <namespace> -o yaml
kubectl describe pdb <pdb-name> -n <namespace>
kubectl get pods -n <namespace> -o wide --show-labels
kubectl get deployment,statefulset,replicaset -n <namespace>

Determine which controller owns the selected pods, how many replicas are desired, how many are healthy, and whether those pods can run on another node.

Determine Why Allowed Disruptions Is Zero

The most common patterns are operationally different.

Singleton protection

A deployment has one replica and its PDB requires one replica to remain available. The policy can never allow a voluntary eviction until the workload is scaled or the policy is changed.

Existing workload degradation

A deployment should have several replicas, but one or more are already unavailable. The PDB is correctly preventing another disruption. The real fix is to restore workload health, not weaken the PDB.

Placement or capacity constraint

Additional replicas cannot become ready because there is insufficient compute, storage, IP capacity, topology diversity, or scheduling eligibility. Scaling the workload will not help until the placement constraint is removed.

Policy that was never tested against maintenance

The PDB protects runtime availability but was designed without considering rolling node replacement. The application and platform teams need a durable maintenance policy, not a one-time deletion every upgrade cycle.

Remediate in the Safest Order

Use the least disruptive option that creates a real eviction allowance.

1. Repair unhealthy replicas. Resolve image, storage, scheduling, probe, or application failures so the PDB naturally reports an allowed disruption.
2. Add a temporary replica when the application supports it. Confirm capacity, anti-affinity, storage semantics, and license implications before scaling.
3. Adjust the PDB with the application owner. Decrease minAvailable or increase maxUnavailable only when the application can tolerate that change.
4. Temporarily remove the PDB under an approved change. Use this only when the application owner accepts the availability risk and the configuration is backed up for restoration.

To back up and temporarily remove a PDB:

kubectl get pdb <pdb-name> -n <namespace> -o yaml 
  > <pdb-name>-backup.yaml

kubectl delete pdb <pdb-name> -n <namespace>

Store the backup on an administration workstation, jump host, or other system outside the VKS nodes.

After the upgrade completes, restore and verify the policy:

kubectl apply -f <pdb-name>-backup.yaml
kubectl get pdb <pdb-name> -n <namespace>
kubectl describe pdb <pdb-name> -n <namespace>

The better long-term outcome is a PDB and replica design that permits routine maintenance without emergency policy removal. A cluster that requires repeated PDB deletion for every upgrade is carrying an application availability design defect.

Validate the PDB Branch Before Retrying

Confirm that:

• Every PDB named by the condition has a nonzero disruption allowance or an approved temporary remediation.
• The affected workloads are healthy and schedulable.
• Any temporary replicas are ready on nodes that are not being drained.
• Stateful workloads can move without violating storage or quorum requirements.
• The Supervisor Cluster condition has reconciled back to True.

Do not manually delete a draining node if the condition clears but a later drain stalls. Check PDBs again, then inspect storage attachments and workload events.

Runbook Branch: Third-Party Admission Webhook Blockers

VKS 3.6 expands readiness checks to identify known third-party webhooks that can interfere with lifecycle operations. Broadcom lists integrations associated with Rancher, Gatekeeper, k8tz, Kyverno, Dynatrace, Linkerd, and OPA Gatekeeper among the known examples.

The important distinction is between a webhook product and the behavior of a particular webhook configuration. A healthy policy engine can still deny a lifecycle-critical pod. A correctly scoped webhook can still fail closed when its backing service is unavailable.

Inventory Validating and Mutating Webhook Configurations

In the workload-cluster context, list all admission webhook configurations:

kubectl get validatingwebhookconfiguration,mutatingwebhookconfiguration

Inspect the object named in the SystemChecksSucceeded message:

kubectl get validatingwebhookconfiguration <name> -o yaml
kubectl get mutatingwebhookconfiguration <name> -o yaml

The object may exist in only one of the two API types. Review these fields carefully:

• clientConfig.service.name
• clientConfig.service.namespace
• failurePolicy
• namespaceSelector
• objectSelector
• rules.apiGroups
• rules.resources
• rules.operations
• webhook timeout settings
• certificate authority data and service reachability

Then inspect the backing service and pods:

kubectl get service,endpoints,endpointslice -n <webhook-namespace>
kubectl get pods -n <webhook-namespace> -o wide
kubectl get events -n <webhook-namespace> --sort-by=.lastTimestamp

Classify the Webhook Failure Mode

There are two common failure chains.

The webhook service is unavailable

The API server attempts to call the webhook, but the service has no healthy endpoints, is unreachable, or times out. If the webhook uses failurePolicy: Fail, resource creation is rejected. During a node rollout, this can prevent lifecycle-critical pods from starting.

The webhook service is healthy but denies system resources

The policy applies too broadly or lacks exclusions for VKS lifecycle namespaces and resources. The webhook is reachable, but it rejects the registry, CNI, CSI, authentication, package, or other system object required to initialize the node.

The second scenario can be harder to recognize because the policy engine appears healthy. The failure is in policy scope, not service availability.

Repair the Integration Before Removing It

Use this order of operations:

1. Restore webhook service health. Repair pods, endpoints, certificates, networking, DNS, capacity, or dependencies.
2. Correct the product-supported policy scope. Configure namespace and resource exclusions through the owning product, Helm values, operator custom resource, or GitOps source. Avoid directly editing an operator-managed webhook object if the controller will overwrite it.
3. Verify lifecycle namespace handling. Broadcom identifies several namespaces that can be integral to VKS lifecycle events:
   • kube-system
   • vmware-system-antrea
   • vmware-system-auth
   • vmware-system-cloud-provider
   • vmware-system-csi
   • tkg-system
   • secretgen-controller
   • vmware-system-supervisor-services
   • the environment-specific namespace containing VKS components
4. Temporarily remove only the third-party webhook configuration when required. Back it up, confirm ownership, save it outside the cluster nodes, and restore it after the rollout.

Find the environment-specific VKS component namespace with:

kubectl get namespace | grep svc-tkg

Use the third-party product’s supported configuration model to exempt lifecycle namespaces when appropriate. A direct edit to a generated ValidatingWebhookConfiguration may disappear at the next reconciliation and create a false sense of permanent remediation.

Back Up and Temporarily Remove a Third-Party Webhook

When Broadcom guidance, the third-party owner, and the change plan support temporary removal, back up the exact objects first:

kubectl get validatingwebhookconfiguration <third-party-validating-name> 
  -o yaml > <third-party-validating-name>-backup.yaml

kubectl get mutatingwebhookconfiguration <third-party-mutating-name> 
  -o yaml > <third-party-mutating-name>-backup.yaml

Verify the files and move them outside the VKS nodes. Then delete only the approved third-party objects:

kubectl delete validatingwebhookconfiguration <third-party-validating-name>
kubectl delete mutatingwebhookconfiguration <third-party-mutating-name>

Do not touch Antrea or Calico system webhooks, cert-manager webhooks installed as standard packages, or other VKS-managed webhook configurations. Broadcom warns that deleting system webhook configurations can place the cluster into an unsupported or potentially irrecoverable state.

Also account for controllers that automatically recreate their webhook configurations. If the object reappears before the rollout, change or pause the owning product through its supported control plane rather than repeatedly deleting generated objects.

After the upgrade completes, restore the backed-up configurations if the owning product has not already recreated them:

kubectl apply -f <third-party-validating-name>-backup.yaml
kubectl apply -f <third-party-mutating-name>-backup.yaml

Then validate the webhook service, policies, and protected workloads before closing the change.

Special Escalation Cases

Escalate rather than improvising when:

• the detected webhook belongs to vOpenTelemetry Collector;
• the webhook is demonstrably configured not to block the upgrade, but VKS still flags it;
• the object appears to be VMware-managed or package-managed and ownership is uncertain;
• the webhook configuration cannot be removed without disabling a mandatory security control;
• the backing policy engine cannot exclude the required lifecycle resources through a supported configuration;
• removing the webhook does not cause the Cluster condition to reconcile.

The cluster lifecycle owner and the third-party integration owner need to participate together. Broadcom supports VKS behavior, but it does not own the configuration of third-party applications.

When the Upgrade Has Already Become Stuck

KB 433183 is most valuable before the upgrade begins, but the same dependencies explain many partial-rollout failures.

From the Supervisor context, inspect Machine state:

kubectl get machine -n <namespace> -o wide
kubectl get kubeadmcontrolplane -n <namespace> -o wide
kubectl get machinedeployment -n <namespace> -o wide

From the workload-cluster context, inspect node, pod, CNI, PDB, and storage state:

kubectl get nodes
kubectl get pods -A -o wide
kubectl get pods -A -o wide | egrep 'antrea|calico'
kubectl get pdb -A
kubectl get volumeattachments -A -o wide

Use the symptoms to stay on the correct branch:

Do not force-delete the node to make the object disappear. Broadcom specifically warns that manual node deletion can create volume detachment problems, image-version mismatches, or additional upgrade failures. The recovery objective is to let Cluster API complete the graceful drain and replacement sequence.

If the cluster is already in a mixed-version or continuous recreation state, preserve evidence and open a Broadcom support case before making broad changes to system components.

Dangerous-Skip Annotations Are Break-Glass Controls

Broadcom documents annotations named:

• kubernetes.vmware.com/dangerous-skip-pdb-check-for-update
• kubernetes.vmware.com/dangerous-skip-misconfigured-software-check-for-update

Their names communicate the operating intent. These are not normal readiness fixes. They tell VKS to proceed despite a condition designed to predict upgrade failure.

A bypass may be defensible when the check is a confirmed false positive or when the organization has separately proved that the detected configuration cannot block the specific rollout. That decision should require evidence, not optimism.

Before approving a bypass, document:

• the exact Cluster condition and message;
• why the check is considered inaccurate or acceptable;
• the affected workloads and maximum tolerated disruption;
• available compute, network, IP, and storage capacity for replacement nodes;
• the webhook service failure behavior and namespace scope;
• a restoration plan for temporarily changed policies;
• application, security, and platform owner approval;
• the stop condition for engaging Broadcom support.

The safest recommendation for most environments is to remediate the blocker and wait for SystemChecksSucceeded=True. A bypass that moves the cluster from a clean precheck failure into a half-completed rollout has made the incident harder, not solved it.

Build Upgrade Readiness into Normal Operations

The best way to handle KB 433183 is before the maintenance window. VKS readiness should be checked continuously or as part of a scheduled change-readiness pipeline.

The following read-only commands provide a practical starting inventory from the workload-cluster context:

#!/usr/bin/env bash
set -euo pipefail

echo '== PodDisruptionBudgets =='
kubectl get pdb -A 
  -o custom-columns='NAMESPACE:.metadata.namespace,NAME:.metadata.name,ALLOWED:.status.disruptionsAllowed,HEALTHY:.status.currentHealthy,DESIRED:.status.desiredHealthy,EXPECTED:.status.expectedPods'

echo
echo '== Validating and mutating webhook configurations =='
kubectl get validatingwebhookconfiguration,mutatingwebhookconfiguration

echo
echo '== Node readiness =='
kubectl get nodes -o wide

echo
echo '== System pod health =='
kubectl get pods -A -o wide | egrep 'antrea|calico|csi|coredns'

What to modify:

• Run the script against the intended workload-cluster context, never an assumed default context.
• Add organization-specific webhook names and namespaces to the review.
• Store the output as change evidence so the pre-window and post-change states can be compared.
• Add checks for available IP addresses, VM capacity, storage health, and application-specific quorum where those are known rollout dependencies.

What success looks like:

• PDBs have a documented reason for any zero-disruption state.
• Third-party webhooks have healthy services and tested lifecycle exclusions.
• CNI, CSI, DNS, and authentication components are healthy.
• Replacement-node capacity is available.
• The Supervisor Cluster condition is True before the version change is submitted.

This turns upgrade readiness from a maintenance-window surprise into an owned platform control.

Validation and Change Completion

A successful remediation is not complete when the upgrade button becomes available. Validate the full lifecycle path.

Before Starting the Upgrade

From the Supervisor context:

kubectl describe cluster <cluster-name> -n <namespace>

Confirm:

• SystemChecksSucceeded is True.
• The Cluster is otherwise healthy and ready.
• Control-plane and worker objects show the expected current version.
• No Machine is unexpectedly deleting or recreating.

From the workload-cluster context:

kubectl get nodes
kubectl get pods -A
kubectl get pdb -A
kubectl get validatingwebhookconfiguration,mutatingwebhookconfiguration

Confirm workload and system health before changing the desired VKR version.

During the Upgrade

Monitor:

• control-plane replacement and stabilization;
• worker MachineDeployment progression;
• node Ready state;
• CNI and CSI pods on each replacement node;
• pod eviction events;
• PDB disruption allowance;
• webhook service endpoints and denial events;
• volume detachment and reattachment;
• application availability and quorum.

Do not treat a progressing percentage as sufficient evidence. The rollout is healthy only when replacement nodes become fully functional and the cluster can continue to the next failure domain.

After the Upgrade

Confirm:

• every control-plane and worker node is on the intended version;
• all nodes are Ready;
• no Machine object is stuck or continuously recreating;
• Antrea or Calico is healthy on every node;
• CSI and attached workloads are healthy;
• temporarily removed PDBs and webhooks are restored;
• policy engines and observability integrations have recovered;
• application owners have validated service health;
• the final Cluster conditions are recorded as change evidence.

Rollback and Fallback Guidance

The preferred fallback for a precheck failure is to stop before the upgrade starts, restore any temporary changes, and reschedule after the underlying design issue is corrected.

If a PDB change does not clear the condition:

• restore the original PDB if it was temporarily removed;
• verify all other zero-disruption PDBs;
• check whether workload replicas are actually healthy;
• re-read the Cluster condition for an additional message;
• confirm reconciliation has completed.

If a webhook change does not clear the condition:

• restore the original webhook configuration if temporary removal is no longer justified;
• check whether the owning controller recreated the object;
• verify the webhook service and endpoints;
• search for additional validating or mutating configurations from the same product;
• confirm the named webhook is not VMware-managed;
• engage Broadcom and the third-party vendor when ownership or supportability is unclear.

If an upgrade is already partially complete:

• do not attempt an improvised downgrade of nodes;
• do not force-delete Cluster API resources;
• do not remove broad sets of system components;
• preserve Cluster, Machine, node, event, webhook, PDB, CNI, and volume-attachment evidence;
• use the supported reconciliation or support path for the current state.

Rollback in this context often means restoring configuration and stabilizing reconciliation, not reverting a cluster to an earlier version through manual object edits.

Operational Lessons from KB 433183

The broad lesson is that Kubernetes lifecycle readiness extends beyond Kubernetes version compatibility.

A PDB is an application availability contract. During an upgrade, it also becomes a node-drain dependency.

An admission webhook is a governance or integration control. During an upgrade, it also becomes a system bootstrap dependency.

A policy engine may be owned by security. A monitoring webhook may be owned by observability. A Rancher integration may be owned by a separate platform team. VKS still has to pass through all of them when it creates and replaces cluster resources.

That changes the upgrade operating model. The VKS owner cannot validate lifecycle readiness alone. Application, security, observability, networking, storage, and third-party integration owners need defined prechecks and change-window responsibilities.

KB 433183 is therefore more than a troubleshooting article. It is a warning that the cluster’s effective lifecycle architecture includes every control that can deny, delay, or prevent the resources required for reconciliation.

Conclusion

The SystemChecksSucceeded condition is not True error is VKS doing preventive operations work. It is identifying a configuration that can turn a routine rolling upgrade into a stuck drain, an uninitialized CNI, a recreating node loop, or an incomplete mixed-version cluster.

The correct response is to read the condition message and follow the matching branch. For PDB blockers, determine why disruptions are zero, restore workload health, add capacity or replicas where appropriate, and adjust or temporarily remove the policy only with application-owner approval. For webhook blockers, prove service health and policy scope, add lifecycle-safe exclusions through the owning product, and temporarily remove only approved third-party configurations with recoverable backups.

Do not force-delete nodes, remove VMware system webhooks, or make dangerous-skip annotations the default upgrade method. Those actions bypass the evidence VKS is giving you and can move the failure deeper into the rollout.

A mature VKS operating model makes SystemChecksSucceeded=True a formal readiness gate. It inventories PDBs and admission webhooks before the change window, assigns owners to every blocker, preserves recovery artifacts outside the cluster, and validates the complete rolling lifecycle after remediation.

That is how KB 433183 becomes more than a one-time fix. It becomes a repeatable method for safer VKS upgrades.

External References

• Broadcom Knowledge Base: VKS Cluster Upgrade Fails with update cannot be initiated SystemChecksSucceeded condition is not True
  Canonical URL: https://knowledge.broadcom.com/external/article/433183/vks-cluster-upgrade-fails-with-update-ca.html
• VMware Cloud Foundation Blog: VMware vSphere Kubernetes Service 3.6: Making Enterprise Kubernetes Safer, More Flexible, and Easier to Operate
  Canonical URL: https://blogs.vmware.com/cloud-foundation/2026/02/11/vmware-vsphere-kubernetes-service3-6-making-enterprise-kubernetes-safer-more-flexible-and-easier-to-operate/
• Broadcom Knowledge Base: vSphere Supervisor Workload Cluster Upgrade Stuck due to Node Stuck Deleting caused by PodDisruptionBudget (PDB)
  Canonical URL: https://knowledge.broadcom.com/external/article/345904/
• Broadcom Knowledge Base: vSphere Workload Cluster Nodes Recreating or Cluster Upgrade Stuck – Antrea/Calico not Running due to Third Party Webhook
  Canonical URL: https://knowledge.broadcom.com/external/article/387563/
• Broadcom TechDocs: Check VKS Cluster Readiness Using Kubectl
  Canonical URL: https://techdocs.broadcom.com/us/en/vmware-cis/vcf/vcf-service-administration-and-development/9-0/managing-vsphere-kuberenetes-service-clusters-and-workloads/operating-tkg-service-clusters/check-tkg-cluster-readiness-using-kubectl.html
• Broadcom TechDocs: Overriding Software Misconfiguration Checks Blocking VKS Cluster Upgrade
  Canonical URL: https://techdocs.broadcom.com/us/en/vmware-cis/vcf/vcf-service-administration-and-development/9-0/managing-vsphere-kuberenetes-service-clusters-and-workloads/updating-tkg-service-clusters/overriding-software-misconfigurtion-checks-preventing-vks-cluster-upgrade.html
• Kubernetes Documentation: Specifying a Disruption Budget for your Application
  Canonical URL: https://kubernetes.io/docs/tasks/run-application/configure-pdb/

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