Case Study
A Data Center Migration with Zero Disruptions for a Large Healthcare System
AHEAD helped a healthcare system move a primary data center without interrupting care.
Everpure

The Chart 

Healthcare never stops. Patients will always need available care, which means clinicians need systems that can work with them around the clock to provide that care. Disruption is not an option, even when the infrastructure team is in the middle of a massive migration. This was exactly the case for a large healthcare system. Its complex technology spanned multiple data centers and thousands of server instances, along with the infrastructure and support systems for clinical applications. That level of sprawl also meant the client had more data centers than its long-term strategy called for. 

Preexisting Conditions 

At the heart of the engagement was a primary data center that had to be moved without interrupting technology systems, applications, or data. 

Managing Cost. Maintaining such a massive footprint meant a ton of infrastructure to protect and manage, which also increased cost and added complexity. 

Overdue for a Checkup. Many of these data centers had overlapping capabilities, with some infrastructure so old that it needed to be either refreshed or rationalized. 

Sprawling Assets. Physical and virtual workloads, storage, network connectivity, and application dependencies all had to move in the right sequence. That meant thousands of servers and petabytes of data had to be inventoried, right-sized, moved, and validated. 

A simple lift and shift approach for this work would be a lot like transferring a patient from one bed to another, without ever actually treating what’s wrong. The client needed a migration program designed like an actual care plan: one that reduced the footprint, improved the target environment, and kept the health system operating. 

Making the Rounds 

This engagement aligned with two areas of AHEAD’s expertise. 

  • Platform & Workload Modernization: Refreshing and rationalizing infrastructure while moving workloads and data into the target environment. 
  • Operational Excellence: Coordinating the people, processes, tools, and communication required to execute a complex migration with zero disruption. 

The work unfolded across three phases: 

Advise 

AHEAD began with a financial benefit study and detailed assessment of the client’s data center environment. This turned the sprawling estate into a complete readout of what the client had, what each workload would need, and how current spending stacked up against the investment required for consolidation. 

Why the Groundwork Mattered: AHEAD’s financial and capacity planning turned a complicated estate into a decision-ready plan, with application dependencies and workloads organized into migration waves for consolidation. 

Build 

AHEAD then got to work establishing the migration protocol: preparing, moving, validating, and closing out each wave as it occurred. The shared protocol also helped to coordinate stakeholders, so each team had the information it needed before a migration event began. 

Zerto was used to migrate virtual machines and data between environments. Physical equipment was handled through coordinated logistics and installation activities. Network topology and connectivity were built and validated in the target environment, for application teams to test. 

How It Came to Life: The work became a full migration program, complete with target infrastructure, technical runbooks, and a carefully controlled process for managing risk. Each wave could move easily from discovery to decommissioning. 

Run 

Once workloads and infrastructure moved, the client could begin retiring its legacy footprint, scaling back capacity and the number of facilities and systems it had to maintain. 

How It Kept Delivering: AHEAD’s migration discipline has given the client a repeatable model for ongoing consolidation work. 

Good as New 

The primary data center came out the other side more resilient and running better than when it started. 

  • Zero Disruption. Zero unscheduled downtime allowed the client’s technology services to continue supporting clinicians and patients. Technology kept doing its job while AHEAD did the heavy lifting behind the scenes. 
  • A Smaller Footprint. With the primary data center moved, the client can keep retiring redundant capacity. The inventory, dependency analysis, wave planning, and validation work built for this migration became a reusable playbook for every data center or workload that still had to move. 
  • Improved Savings. The financial benefit study connected migration decisions directly to facility, infrastructure, and operating costs. The client can track those savings as they show up, instead of waiting to see if its original business case held. 

What’s Next 

The primary data center migration is the first step in a larger modernization journey. The client can continue evaluating workloads, facilities, and infrastructure services for cloud and colocation options. This also leaves space for future cloud-smart decisions. Some workloads may remain in a strategic data center. Others may move to a hosted or cloud-based model. The point is to give each workload a destination that makes sense. 

For healthcare organizations, infrastructure modernization works a lot like preventative care: catching what’s overdue before it turns into an emergency and building a plan that keeps paying off long after the initial treatment ends. AHEAD brings the strategy, financial analysis, migration discipline, and technical depth to make changes safely, and keep the health system in shape as new workloads, new facilities, and new demands show up. 

Top Takeaways

AHEAD:

  • Migrated a primary data center into a strategic colocation environment with zero unscheduled downtime. 
  • Planned and executed infrastructure moves across clinical and business applications, storage, networking, and physical assets. 
  • Used capacity planning, staggered migration waves, and Zerto data migration to reduce risk. 
  • Reduced the legacy server footprint and lowered operational complexity.