
The Future of Hybrid Multi-Cloud
Most organizations today operate a mix of on-premises systems, private cloud platforms, and multiple public clouds. This is not always the result of an overall strategy, but often the consequence of acquisitions, project-specific decisions, or the practicalities of compliance and regulation.
The result is a landscape that is both full of choice and complexity.
Hybrid multi-cloud has become the de facto reality for some in IT. Enterprises already live in a world where applications and data are distributed across different infrastructures, each with its own tools, contracts, and governance models. What used to be a patchwork born out of necessity is now evolving into a deliberate strategy. Making use of the strengths of different environments while trying to tame the complexity they bring.
Why Hybrid Multi-Cloud Is Here to Stay
Several forces are driving this development. Regulations around data residency and sovereignty mean that some workloads must stay within national borders. Business-critical systems that are tightly integrated with legacy processes cannot simply be moved to the cloud overnight. At the same time, organizations want to tap into the rapid innovation of hyperscale platforms or make use of specialized services like AI or advanced analytics. And then there is the matter of resilience. Distributing workloads across different infrastructures helps reduce dependency on a single provider and lowers risk.
But hybrid multi-cloud is not a silver bullet. Managing multiple platforms comes with a cost. Operations teams need to juggle different interfaces, tools, and billing models. Cost transparency across environments is still a weak point. Finding experts who can handle everything from traditional infrastructure to cloud-native architectures is difficult. And perhaps most importantly, moving data across platforms and regions remains expensive and technically challenging.
A Pragmatic “Lift and Learn” Approach
One of the most common questions when discussing hybrid multi-cloud is how to actually get there. Large application portfolios can’t be transformed overnight, and ambitious modernization programs often collapse under their own weight. That’s why the “lift and learn” methodology is so compelling.
In essence, this approach unfolds in two focused phases:
Phase 1 – Lift and Shift
Begin by moving applications as-is. No re-architecture, no delay, no over-analysis. This speeds up cloud adoption and often compresses migration timelines to just a few months. The result? Systems are live in the cloud quickly, giving organizations both visibility and breathing room.
Phase 2 – Learn and Modernize
With the time savings from the first phase, IT teams gain the freedom to explore. They can understand native cloud services, build up needed skills, and gradually rethink how apps can be modernized. On their own schedule, without pressure.
In 2022, I explored this pattern in an article describing how VMware’s “lift and learn” approach gave teams crucial time to upskill and experiment before starting innovation. The lesson remains valid today. Successful cloud strategies respect both human capacity and technological ambition.
Nuanced Workload Placement
Cloud strategies are also maturing. What started as “cloud-first” enthusiasm has shifted toward more pragmatic “cloud-smart” models, and in some cases is now labeled “repatriation“. Surveys often highlight the trend of workloads moving back on-premises, but the reality is far more nuanced. This is not about retreating from the cloud, but about placing workloads more intelligently!
Repatriation is not reversal. You really have to understand this. Organizations are not abandoning cloud, they are rebalancing. Certain workloads, particularly steady-state, predictable, or data-heavy ones, may be more cost-effective or secure on-premises. This is nothing new. Others, such as experimental, elastic, or short-lived applications, remain ideal for public cloud. Some move to the edge or sovereign clouds to meet latency or compliance requirements.
What matters is building a framework for placement decisions. Cost, performance, data proximity, compliance, and strategic flexibility all play a role. Workloads need to live where they make the most sense and where they deliver the most value.
This is the natural evolution of hybrid multi-cloud and not a binary choice between “cloud or not”, but an ongoing, data-driven exercise in finding the right home for each workload.
Workload Mobility and Cloud-Exit Strategies
Hybrid multi-cloud is not only about placing workloads intelligently. It is also about being able to move them when circumstances change. This capability, often overlooked in early cloud journeys, is becoming critical as organizations experience new pressures and triggers that may force them to rethink their choices.
Why Workload Mobility Matters
In a world where business conditions, regulations, and technologies can change rapidly, no workload placement decision should be permanent. The ability to move applications and data across infrastructures, between clouds, or back to on-premises, is a strategic safeguard. It ensures that decisions made today do not become tomorrow’s limitations.
Exit Triggers – Why Organizations Rethink Placement
Several factors can trigger the need for a cloud-exit or relocation:
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Costs: Cloud pricing models are attractive for elastic workloads but can spiral out of control for long-running, predictable systems. Unexpected egress fees or sudden price increases can make repatriation or rebalancing attractive. Keep in mind that price increases can also happen on-premises, as I have described it in the article “Sovereign Clouds and the VMware Earthquake: Dependency Isn’t Just a Hyperscaler Problem“
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Regulatory and Sovereignty Requirements: New or changing laws may force workloads to be moved closer to home, into national clouds, or into sovereign environments under local control.
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Access to Innovation: Sometimes the opposite is true. Workloads may need to leave legacy environments to take advantage of innovations in AI, analytics, or industry-specific platforms.
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Strategic Flexibility: Businesses may want to avoid overdependence on one provider to maintain leverage and resilience. Also known as concentration risk.
Building Mobility into the Architecture
Workload mobility does not happen automatically. It requires foresight in architecture and governance:
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Using containerization and orchestration platforms to abstract workloads from specific infrastructures
- Follow a “consistent infrastructure, consistent operations” approach
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Employing infrastructure-as-code and automation for repeatable deployments
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Designing data strategies that minimize lock-in and enable portability
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Establishing clear governance on when and how exit strategies should be executed
Mobility is not just about planning for the worst case. It is about creating long-term agility, so that organizations can move workloads toward opportunity as easily as they can move them away from risk.
Business Continuity and Cyber Recovery
Another dimension where hybrid multi-cloud demonstrates its value is business continuity and cyber resilience. Outages, ransomware attacks, or large-scale breaches are operational risks every CIO must plan for. In this context, having access to more than one cloud or infrastructure environment can make the difference between prolonged downtime and rapid recovery.
A Second Cloud as a Safety Net
Traditionally, disaster recovery was designed around secondary data centers. In a hybrid multi-cloud world, however, another cloud can serve as the recovery target. By replicating critical data and workloads into a separate cloud environment, organizations reduce their exposure to a single point of failure. If the primary environment is compromised, whether by technical outage or cyberattack, workloads can be restored in the alternate cloud, ensuring continuity of essential services.
Cyber Recovery and Forensics
Hybrid multi-cloud also opens up new options for cyber recovery. A secondary cloud can be isolated from day-to-day operations and act as a clean recovery environment. In case of a ransomware attack, for example, this environment becomes the trusted place to validate backups, perform integrity checks, and safely restore systems.
Source: https://www.cohesity.com/blogs/isolated-recovery-environments-the-next-thing-in-cyber-recovery/
It can also serve as a forensic sandbox, where compromised systems are analyzed without risking production operations.
Planning for the Unthinkable
The lesson here is clear. Hybrid multi-cloud is not only about optimization, innovation, or cost control. It is also about resilience in the face of growing threats. By designing continuity and recovery strategies that span across different providers, organizations build insurance against both natural outages and man-made disruptions.
Looking Ahead
The future will not remove this complexity, but it will change how we deal with it. We will see more organizations adopting a unified cloud operating model, where it no longer matters whether an application runs on-premises, in a private cloud, or in a public one. Abstraction and automation will take away much of the manual overhead, with AI-driven operations playing a key role. Infrastructure will become more decentralized, extending into regional clouds and edge locations. And with that, the focus will shift even further away from servers and workloads, toward outcomes and business value.
What Decision-Makers Should Keep in Mind
Hybrid multi-cloud is not about choosing the “best” cloud. It is about designing IT architectures that remain flexible in a constantly changing environment. Decision-makers should start from business outcomes, not infrastructure preferences. They should think about resilience, sovereignty, and innovation together – not in isolation. Skills and people remain the most critical success factor.
Technology can abstract a lot, but it cannot replace good governance and a strong IT culture.
Conclusion
Hybrid multi-cloud is an ongoing journey. Organizations that embrace flexibility, invest in skills, and build governance models that span across different environments will be best prepared. The future of IT is about mastering many clouds, without being mastered by them.