For a long time, “just run it on VMware” was the lowest-risk answer in the room. Most teams treated it as infrastructure they didn’t need to think too hard about. It was stable, operationally familiar, and usually predictable from both a support and budgeting standpoint.
That calculus changed fast.
After Broadcom’s acquisition closed, the licensing model shifted dramatically. Customers who had been paying predictable per-socket costs woke up to per-core bundles that in some cases tripled their annual spend overnight. And for organizations also running Tanzu for Kubernetes, the hit was compounded. We started getting calls in early 2024 from infrastructure leads who weren’t just unhappy, they were in genuine budget crisis and being asked to justify costs they’d never planned for.
The honest answer we give clients is this: the technology alternatives are real and mature. The challenge usually isn’t finding alternatives anymore. It’s figuring out whether those alternatives will behave properly once your real workloads, operational processes, and failure scenarios are sitting on top of them.
Why Most Platform Evaluations Miss the Real Risks
Most infrastructure teams do evaluate alternatives. They read vendor documentation, sit through demos, maybe spin up a test cluster. What they almost never do is run their actual workloads – the ones that matter – against the candidate platform under realistic conditions.
We worked with a financial services client a few months back that had already gone through a traditional RFP process and selected a replacement platform. By the time they brought us in, they were three months into implementation and starting to discover that their PostgreSQL clusters, which handle transaction processing, behaved very differently under their access patterns than the vendor benchmarks had suggested. Latency was inconsistent in ways that didn’t show up during the proof of concept because the PoC used synthetic data and none of the actual query patterns that the application generates under load.
They weren’t in crisis yet. But they would have been if they’d migrated production.
That scenario is more common than people admit. The gap between a vendor’s reference architecture and what your environment actually does is where migrations fail.
What a Structured Framework Actually Changes
When we run a Virtualization Migration Assessment, the thing that changes isn’t the depth of documentation – it’s that we test your workloads, not representative ones. That means standing up PostgreSQL with your schema and your query load. That means running Kubernetes with your application manifests and your resource profiles. That means subjecting the candidate platform to the failure conditions you actually worry about at 2 am.
For a healthcare organization we worked with earlier this year, the Kafka throughput numbers were the deciding factor. They were considering two platforms that scored nearly identically across most capability domains. On paper, both were viable. Under load with their actual event volumes and partition configurations, one of them degraded in ways that would have caused real problems for their patient data pipeline. The other didn’t. That’s not a result you get from reading whitepapers.
The framework evaluates platforms across more than 15 domains, including – networking, storage, Day-2 operations, migration tooling, licensing model, observability, and more. But the workload validation is what makes the rest of it trustworthy. Scores without evidence are just opinions.
Making the Decision Stick
The other thing we’ve learned is that these decisions have to survive a room full of skeptics – the application team that’s worried about their deployment pipeline, the security team that has questions about network segmentation, the CFO who wants to understand the TCO comparison. Our deliverable is built for that room: scored comparisons, performance benchmarking results, and a migration roadmap that has actual phases with actual sequencing.
By the time an organization starts moving production workloads, there should already be confidence in how the platform behaves under real operational conditions. That’s ultimately what the assessment is trying to establish before the migration becomes expensive to reverse.
That’s what a framework is for.
Keyva’s Virtualization Migration Framework is available as a Lite, Core, or Premium engagement. Reach out at info@keyvatech.com to discuss your environment.
 | Anuj Tuli, Chief Technology Officer Anuj specializes in developing and delivering vendor-agnostic solutions that avoid the “rip-and-replace” of existing IT investments. He has worked on Cloud Automation, DevOps, Cloud Readiness Assessments, and Migration projects for healthcare, banking, ISP, telecommunications, government and other sectors. He leads the development and management of Cloud Automation IP (intellectual property) and related professional services. During his career, he held multiple roles in the Cloud and Automation, and DevOps domains. With certifications in AWS, VMware, HPE, BMC and ITIL, Anuj offers a hands-on perspective on these technologies. Like what you read? Follow Anuj on LinkedIn at https://www.linkedin.com/in/anujtuli/ |