The Challenge
The existing environment was primarily dependent on physical servers. Physical infrastructure can provide predictable resources, but scaling it requires additional hardware, physical capacity, procurement, installation, configuration, and ongoing maintenance. As infrastructure requirements increased, this created several operational challenges: scaling required additional physical hardware, server capacity had to be planned well in advance, hardware maintenance could affect operations, resource utilization was often uneven across servers, provisioning new servers required significant manual effort, and infrastructure changes were dependent on physical resources being available.
Managing a mixed Windows and Ubuntu environment added further operational complexity on top of these constraints. The infrastructure needed a more flexible approach that could support future growth without continuously expanding the physical server footprint.
The Approach
The objective was not simply to move existing servers to another location — it was to gain greater flexibility, scalability, and operational efficiency. With physical infrastructure, increasing capacity generally means purchasing and provisioning additional hardware. With cloud infrastructure, resources can instead be provisioned and adjusted based on actual workload requirements. This changes the infrastructure model from Physical Hardware → Fixed Capacity → Manual Expansion to Cloud Infrastructure → Flexible Capacity → Faster Provisioning and Scaling. Cloud infrastructure also provides a more centralized way to manage compute, networking, storage, security, monitoring, and access — which matters for an environment containing both Windows and Linux workloads, since that flexibility allows different server requirements to be managed within the same broader infrastructure model rather than as separate, disconnected environments.
Implementing SDDC Infrastructure Migration
Migrating From Physical Servers to a Cloud-Based SDDC
The migration moved the existing infrastructure — both Windows servers and Ubuntu/Linux servers — from physical hardware into a new cloud-based SDDC environment. This required more than copying applications from one server to another: each workload had to be considered in terms of its operating system, applications, services, configurations, networking, storage, access requirements, and dependencies. The goal throughout was to move workloads while maintaining service continuity, so applications continued operating correctly once the underlying infrastructure model changed.
Software-Defining Compute, Networking & Storage
A Software-Defined Data Center takes a more software-driven approach to managing infrastructure, rather than tightly coupling resources to individual physical servers. Compute can be provisioned and managed based on workload requirements instead of being permanently tied to specific hardware. Networking configuration is managed through software and centralized infrastructure controls, making changes easier as the environment grows. Storage resources are allocated according to workload requirements rather than being restricted by the capacity of any single physical server — together making the infrastructure easier to standardize, provision, monitor, and manage than a purely physical environment.
Supporting Both Windows and Ubuntu Workloads
The infrastructure was not built around a single operating system. Windows workloads continued to support applications and services that depended on the Windows ecosystem, while Ubuntu servers continued to support Linux-based applications and services, both brought under the same broader cloud infrastructure model. This demonstrated that the migration was an infrastructure modernization effort rather than an operating-system-specific migration, and it meant the new environment could keep supporting the same operational diversity as before, just on a more flexible foundation.
Building a Foundation for Automation
Moving to a software-defined environment also created a stronger foundation for what comes next: infrastructure automation, standardized configurations, centralized monitoring, and future Infrastructure as Code initiatives. None of this was the immediate goal of the migration, but a hardware-independent, centrally managed environment is what makes that kind of automation practical in the first place.
