For most organizations, the VMware to Kubernetes migration decision is already made. The question now is not whether to move. It is how to build the infrastructure that replaces it without repeating the same mistake.
How do you build infrastructure that will still serve you 10 years from now, one that is agile enough not to get trapped in the same problem again?
In the full picture, year one is not cheaper. You pay to set up, migrate, refactor, and train. Break-even might come three to five years later, and even then, you are still paying in engineering time to keep systems stable and learn the new stack. Then renewals hit. And costs rise again.
Freedom comes from infrastructure agility. If that is the goal, is Kubernetes the open standard worth betting on? Has it proven it is here to stay? And if it has, who is the right partner to start with?
Key Takeaways
- Kubernetes is the open standard for modern infrastructure. Like Linux before it, it is too widely adopted and too deeply ingrained to be replaced.
- You are adopting a standard, not a vendor. With smart design decisions, you can move between distributions without a full rebuild.
- Red Hat OpenShift is the most mature starting point for teams leaving VMware, but it is a doorway into Kubernetes, not a new dependency.
- Kubernetes does not make your infrastructure agile by default. The fundamentals still matter, and skipping them just trades one lock-in for another.
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We believe Kubernetes represents that standard and Red Hat provides the most stable foundation for the next decade of infrastructure agility.
Kubernetes: The Standard That Defines Modern Infrastructure
Kubernetes has become the standard because of how widely it is used and supported.
Since its release in 2014, it has proven stable over time. Major providers like Google, Red Hat, Microsoft, VMware, and Amazon all contribute to it. It is no longer just an open-source project. It is a mature ecosystem that powers modern infrastructure.
Kubernetes has taken the same role Linux did for operating systems. Linux became the open standard for running software on any hardware. Kubernetes has become the open standard for running workloads across any infrastructure.
That position has only strengthened with the rise of AI infrastructure. The same Kubernetes clusters now orchestrate GPU workloads, model serving endpoints, and MLOps pipelines alongside traditional application workloads. Tools like the NVIDIA GPU Operator, KServe, and Ray on Kubernetes have made it the default substrate for AI compute, adding a second compelling reason to land on Kubernetes beyond just VMware migration.
Other options exist. You could use Nomad for containers, or run KVM directly on Linux for virtual machines. But those tie you to their own models. Kubernetes was built as an open standard from the start.
The difference between Kubernetes and older open projects like OpenStack is adoption. OpenStack had community support, but never reached this level of use. Kubernetes is everywhere now (across clouds, data centers, and industries). Amazon, Microsoft, and Red Hat each have their own version. And they all run on the same foundation.
That scale makes it hard to replace.
If you want to run containers or virtual machines across multiple environments without getting locked into one provider, Kubernetes is the practical choice. There is no other platform that orchestrates workloads across clouds while preserving flexibility. It is too ingrained in modern infrastructure to ignore.
Adopt the Standard for Agility (Not The Vendor)
When you adopt Kubernetes, you are adopting a standard, not just exchanging vendors.
The API and libraries define that standard. You can move between providers: OpenShift on AWS, Rancher on-prem, or another platform if you make smart design decisions. Portability depends on how you implement it, not on which distribution you pick.
A new standard could appear someday, but it would have to solve a completely different problem.
Kubernetes now runs both containers and virtual machines, putting it in direct competition with VMware. Replacing it would require solving a new class of infrastructure problems, not just improving what exists.
With smart design, you can move workloads cleanly between Kubernetes environments. Tools like Velero, Kasten K10, and PX Backup, alongside Red Hat's Migration Toolkit for Virtualization (MTV), now the primary supported path off VMware, let you lift containers, network definitions, VMs, storage, and configurations from one distribution to another without rewriting. Tools like ArgoCD, FluxCD and Fleet allow you to have consistent configuration management across multiple instances and various distributions.
Skip that planning, and you risk locking yourself into a vendor again. Remember: The standard gives you the option. How you use it decides whether you stay agile.
We cannot predict the future, but the evidence (the maturity, contributor breadth, and scale) suggests Kubernetes will last well beyond this cycle.
Red Hat Is the Most Reliable Starting Point for Kubernetes
Kubernetes started as a container platform, but the real turning point came when it began handling virtual machines.
That is what KubeVirt does: it lets you run VMs alongside containers under one control plane. For teams leaving VMware, that matters. You do not have to re-platform everything overnight. You can bring existing workloads into Kubernetes and modernize on your own schedule. Red Hat's version, OpenShift Virt, is the most mature and supported platform right now.
Red Hat is the easiest and safest place to start this move. It is not about vendor loyalty. It is about maturity and support. Red Hat has been in the Kubernetes space since the beginning. OpenShift version 3 was redesigned around Kubernetes when it was first released 11 years ago. They have been a leading contributor to the project ever since.
Red Hat has been the most stable and enterprise-ready implementation of KubeVirt so far. They are not new to virtualization. They wrote KVM (on which KubeVirt is built). Before that, they had Red Hat Enterprise Virtualization and OpenStack. This is their latest evolution of that experience. Their integrations, UI, and enterprise support stack make it easier to train teams and move from VMware without breaking what works.
Red Hat's ecosystem includes migration tools, storage integrations, and a consulting team that knows how to get people off VMware without breaking what works. Their tools handle feature gaps, training, and testing so what ran in VMware still works in KubeVirt.
If your goal is a smooth first phase (and it should be) you want to start with something solid. Red Hat OpenShift gives you that. Nutanix, SUSE Harvester, and Canonical have all matured into strong alternatives depending on your environment, but OpenShift's depth of enterprise support, Red Hat's KVM lineage, and the maturity of its migration tooling still give it an edge as a starting point. You can move to them down the road because starting with Red Hat does not lock you in. It gives you a stable base to build from.
Red Hat OpenShift Virtualization Offers:
• The longest-running Kubernetes distribution (OpenShift v3 launched with Kubernetes v1)
• The largest contributor base to Kubernetes and KubeVirt
• KVM, the core under KubeVirt
• Partnerships with major storage vendors
• Mature migration tools for VMware exits
• Consulting teams that plan timelines, training, and validation
I have to stress this: You are not betting on Red Hat. You are betting on Kubernetes. Red Hat is just the doorway right now because it is the most stable, supported, and enterprise-tested option.
If Red Hat gets too expensive or another provider passes them, you can move. You will stay on the same standard, avoiding a full rebuild. However, this assumes you ensure you leverage standardized solutions for CICD, storage, backup, etc or you will have a little rework to do.
That is the whole point of choosing open standards.
Kubernetes Doesn't Guarantee Infrastructure Agility
Kubernetes gives you the tools to become more agile.
But agility is not automatic.
It depends on how you use it. Too many teams work too far up the stack without understanding what sits underneath. Kubernetes runs on Linux. It handles networking, storage, and automation layers, but it cannot protect you from weak fundamentals. If your team does not understand those, you are just trading one kind of lock-in for another.
Many engineers know Terraform or Ansible, but not TCP/IP or Linux basics. Cloud vendors trained people to live inside their own toolchains. When those same teams move to Kubernetes, they expect it to fill the gaps. It will not.
The biggest risk is how teams adopt it. Some keep Kubernetes boxed inside a small specialist group where it never scales. Others roll it out too fast, before anyone understands what it is automating. One limits growth; the other multiplies failure.
The better path is deliberate. Build engineers who understand both Kubernetes and the systems it manages. Roll it out in phases so it becomes part of how the organization works, not just another platform.
Kubernetes does not make your infrastructure agile by default. It opens the door to infrastructure agility.
The rest depends on the decisions you make. If you are ready to plan your move to Kubernetes and want a team that has done it before, contact the Arctiq team.
