Key Takeaways
- Workloads placed in hyperscale cloud five years ago made sense but now may be better suited to managed private cloud.
- Organizations are reevaluating infrastructure decisions based on cost, priority, performance, compliance, resilience, and long-term value.
- Expedient works with organizations to reduce complexity, optimize costs, and navigate triggers such as Broadcom’s restructuring of its VCSP program and licensing.
A few years ago, “moving faster” meant a leap into the public cloud. Hyperscalers offered speed, flexibility, and freedom from the constraints of traditional on-premises infrastructure. Modernization meant moving applications and data and changing operating models.
For some organizations, it was the smart long-term strategy for their workloads, but for others it’s no longer an ideal environment.
This latter group finds that applications are consuming cloud resources despite maintaining predictable demand, performance requirements have evolved, or they have little need for elasticity.
Cloud Rebalancing Is an Optimal Next Step
It’s a structured, data-driven evaluation and reset meant to place each workload in its optimal environment. Based on cost, performance, security, compliance, and business value, you decide whether that’s private cloud, public cloud, on-premises infrastructure, or a smart combination.
Expedient has built an evaluation program around this approach, and our Cloud Rebalancing Kit offers you the tools, framework, and data to support your next infrastructure move.
Three Forces Driving Cloud Rebalancing
Hyperscale Costs Need More Justification Than Ever
Cloud meant moving faster, scaling easily, and spending less. While that’s still true, prices have been rising, monthly bills are harder to predict, and stable workloads cost more to run. As spending grows, leaders are re-evaluating investments.
VMware Changes are Disrupting Business
Changes in the VMware Cloud Service Provider (VCSP) program created unpredictability around costs, support, and long-term planning, and what was a stable foundation on rocky ground. Leaders are figuring out how to maintain continuity, manage compliance obligations, and avoid being locked in to something that doesn’t make sense for the future.
AI Pressure That’s Not Slowing Down
The board room-level push for AI is moving faster than the infrastructure that supports it. A recent IDC report found 82% of cloud buyers have said that their current environments require modernization to support AI. Meanwhile data privacy and sovereignty, governance requirements, and cost control remain non-negotiable for highly regulated companies adopting and expanding AI initiatives.
What Is Cloud Rebalancing?
Expedient Cloud Rebalancing is a three-phase model where each step helps you reduce risk, right-size costs, and build toward a modern, scalable, AI-ready infrastructure.
Phase 1: Stabilize (Weeks 1 to 6)
Getting started is about control, eliminating risk, and having a bird’s eye view of your current environment. Clients begin with an evaluation that identifies the compliance triggers, quantifies exposure, right-sizes workloads, and delivers a prioritized roadmap you can act on. For organizations facing Broadcom licensing gaps, our Bridge Program establishes a compliant licensing posture immediately, without requiring any immediate changes to existing hardware or operations.
Phase 2: Optimize (Months 1 to 6)
With a stable foundation in place, the next step is the Expedient Cloud Rebalancing assessment. We recommend stable, predictable applications move to managed private cloud at fixed, predictable cost. Bursty, cloud-native, and SaaS-adjacent workloads stay in managed public cloud. Disaster Recovery as a Service (DRaaS) eliminates upfront disaster recovery (DR) licensing costs which are consumed only at the moment of failover. For a typical 500-VM environment, that’s approximately $300,000 per year in savings.
Phase 3: Modernize (Months 6 to 36)
Once your workloads are where they belong and costs are controlled, you can deploy the Expedient AI CTRL Platform to support your AI-capable enterprise with full data sovereignty. Start with intelligent chat-based AI, control shadow AI, and centralize governance with Secure AI Gateway. Deploy your AI within a private cloud boundary with the AI Data Connector. And then apply the Expedient Agentic Workflow Engine to automate high-value business processes securely.
These three levels are part of an Intelligent Infrastructure philosophy that enables IT teams to deliver the tangible, board-level outcomes the business demands, including financial predictability, accelerated innovation, and unwavering resilience. And you start where it makes sense for your business.
Where Rebalancing Creates Business Value
Every quarter spent with an unauthorized VMware provider, on a public cloud that continues to rise in price even when nothing changes, or on a vSphere 8 environment that will fail compliance audits in October 2027 has a calculable cost. We call it the “wait tax,” but it’s something you can avoid.
Here’s what organizations that are rebalancing proactively can achieve:
- Reduce costs up to 30% on stable, predictable workloads moved from hyperscale to private cloud
- Save approximately $300,000 annually licensing for a typical 500-VM environment with DRaaS
- Trust Expedient’s 99.6% first-attempt migration success rate across 250+ enterprise VMware migrations (migration included as part of our managed service with no separate project cost)
Why Expedient
Expedient is one of only 14 Broadcom-authorized VCSPs in the United States. That authorization is the only compliant path for organizations whose current provider dropped from the program, and Expedient’s Pinnacle status is contractually protected through March 2029. You can be confident with structural compliance from day one.
And we’re recognized as VMware Service Partner of the Year (Americas) and Nutanix Service Provider of the Year (Americas) 2025 and 2026. That means clients get genuine optionality rather than a forced path, whether they stay on VMware, migrate to Nutanix, or land somewhere in between.
Start with a Free VMware Health Check
This is the recommended first step for any organization running VMware, regardless of where you are in your licensing or hardware cycle.
In just a few days, Expedient engineers give you a written assessment and executive brief of your environment, including scale, lifecycle position, capacity, recoverability, and applicable compliance frameworks. We also provide prioritized recommendations for a clear picture of your options and timeline.
There are no professional services fees or lengthy discovery process. And there is no obligation to act; you keep the findings whether you choose to work with us or not.
Get the Cloud Rebalancing eBook
If you aren’t ready for an assessment, but want more details about cloud rebalancing, a vision for a healthy cloud portfolio, and the case for hosted private cloud as the strategic anchor, start with our eBook.
FAQs
What is cloud rebalancing?
It’s the process of evaluating where applications and workloads run and aligning them with infrastructure that best supports their requirements. Rather than defaulting to a single location, teams place workloads across private cloud, public cloud, and on premises based on factors such as performance, security, compliance requirements, and cost.
Is cloud rebalancing the same as cloud repatriation?
No. Cloud repatriation usually refers to moving workloads out of public cloud environments completely. The goal of cloud rebalancing is to place each workload where it performs best.
How does Broadcom’s acquisition of VMware affect cloud strategy?
Changes to VMware licensing, partner programs, and support models have pushed teams to reassess their infrastructure plans. For some it’s an opportunity to validate whether their current environment aligns with the business, compliance obligations, and budget expectations. For others, it’s a moment to change course.
How do I know if my organization should evaluate cloud rebalancing?
Assessing your environment often begins when you experience rising cloud costs, renewal cycles, licensing changes, compliance pressures, or new AI initiatives.
