Your VM migration is a data architecture decision – stop treating it as a compute one

The current virtualization landscape has reached a critical crossroads. Market disruptions have forced organizations to look beyond short-term shocks and confront broader agility and resilience issues and rethink their entire virtualization approach. According to the Voice of Kubernetes report, 74% of organizations are planning to migrate their virtual machines (VMs) to Kubernetes.

Part of this change is that IT leaders are discovering their legacy stacks are fundamentally ill-equipped for the modern era. Compounding the issue is a pervasive context gap, a reliance on data silos that prevent organizations from building a unified understanding of their data, effectively turning both the data and the underlying infrastructure into a bottleneck.

Deciding how data is stored, protected and moved across any new platform is a data architecture decision – and many buyers are mistaking it for a compute one. Getting it wrong can mean they end up with the same silos, complexity and fragmentation. Organizations need to ensure that new architecture supports business modernization and new Artificial Intelligence (AI) initiatives, instead of adding another silo.

Why modern virtualization?

A modern virtualization approach means running virtual machines and data in containers side by side with Kubernetes as a single control layer. It bridges the gap between legacy applications and modern cloud-native architecture. Instead of maintaining two separate, siloed…