Considerations for Hybrid Cloud Architectures
Taming Hybrid Cloud Complexity to Drive Value
For today’s IT leaders and executives, thinking about the future means planning for accelerating adoption of AI and machine learning. The cloud enables the agility needed to run these workloads at scale, and hybrid cloud architectures are already the norm. But, optimizing these environments remains challenging for IT teams, who continue to confront rising complexity, opaque costs, and longstanding skills gaps. Learn how the right Azure migration and management strategy—and the right partner—can help transform the cloud’s chaos into measurable value.Considerations for Hybrid Cloud Architectures
Taming Hybrid Cloud Complexity to Drive Value
For today’s IT leaders and executives, thinking about the future means planning for accelerating adoption of AI and machine learning. The cloud enables the agility needed to run these workloads at scale, and hybrid cloud architectures are already the norm. But, optimizing these environments remains challenging for IT teams, who continue to confront rising complexity, opaque costs, and longstanding skills gaps. Learn how the right Azure migration and management strategy—and the right partner—can help transform the cloud’s chaos into measurable value.Transforming Cloud's Chaos
For today’s IT leaders and executives, thinking about the future means planning for accelerating adoption of AI and machine learning. The cloud enables the agility needed to run these workloads at scale, and hybrid cloud architectures are already the norm. According to Gartner, 90% of organizations will have adopted this model by 2027. Going beyond hybrid, distributed multicloud architectures will make it possible for businesses to access the data, storage, and compute they’ll need to train models and advance GenAI initiatives.
But optimizing these environments remains challenging for IT teams, who continue to confront rising complexity, opaque costs, and longstanding skills gaps. Most internal teams lack bandwidth and expertise to manage complex hybrid and multicloud deployments. Security concerns are also intensifying as data is pulled from larger numbers of resource pools, increasing the attack surface. At the same time, compliance requirements keep increasing.
The stakes are high: these challenges are holding back growth, innovation, and AI readiness. Surging demand for AI and ML is driving a major shift in how compute resources are allocated, with Gartner predicting that 50% of the cloud’s workloads will be devoted to AI by 2029.
The pressure to modernize might be intense, but it’s not insurmountable. With the right Azure migration and management strategy—and the right partner—the cloud’s chaos can be transformed into measurable value. Here’s how:
Transforming Cloud's Chaos
For today’s IT leaders and executives, thinking about the future means planning for accelerating adoption of AI and machine learning. The cloud enables the agility needed to run these workloads at scale, and hybrid cloud architectures are already the norm. According to Gartner, 90% of organizations will have adopted this model by 2027. Going beyond hybrid, distributed multicloud architectures will make it possible for businesses to access the data, storage, and compute they’ll need to train models and advance GenAI initiatives.
But optimizing these environments remains challenging for IT teams, who continue to confront rising complexity, opaque costs, and longstanding skills gaps. Most internal teams lack bandwidth and expertise to manage complex hybrid and multicloud deployments. Security concerns are also intensifying as data is pulled from larger numbers of resource pools, increasing the attack surface. At the same time, compliance requirements keep increasing.
The stakes are high: these challenges are holding back growth, innovation, and AI readiness. Surging demand for AI and ML is driving a major shift in how compute resources are allocated, with Gartner predicting that 50% of the cloud’s workloads will be devoted to AI by 2029.
The pressure to modernize might be intense, but it’s not insurmountable. With the right Azure migration and management strategy—and the right partner—the cloud’s chaos can be transformed into measurable value. Here’s how:
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Start with a Blueprint for Success
To optimize your environment, you need to instead start with the right strategic foundation.
This should include:
- Cloud Strategy and Envisioning Workshops, to align IT and organizational stakeholders by clarifying what they really need from the cloud. These workshops ensure that objectives such as cost control, robust security, compliance, and AI readiness will be built into the plan from the start.
- The Azure Well-architected Framework Review is a cornerstone of this strategic foundation. This is a standard review that evaluates your architecture against five critical pillars — security, cost, reliability, performance efficiency, and operational excellence — so that stakeholders can be confident that their architecture will deliver value over time.
- A Cloud Economic and TCO Analysis translates the cloud strategy into numbers. By comparing current costs to projections, IT leaders can make value-driven decisions and demonstrate ROI to the organization.
5 Ways to Rein in Cloud Costs and Unlock Value
Cloud complexity is holding organizations back. Read this infographic to discover 5 ways to rein in cloud costs and unlock value.Turning Ideas into Infrastructure
Most organizations aren’t moving everything to the public cloud, and many are considering repatriation of some workloads to optimize costs and performance. A recent IDC survey found that 80% of IT leaders are planning to move some of their compute and storage back on-premises within the next year. With Azure Local, organizations can enjoy consistent management and governance across the public cloud (Azure) and their on-premises environment, whether that’s in the data center or at the edge, so that everything works together in a single, seamless and secure operational environment.
Leveraging automation in complex migration projects is essential because it enables speed and precision, so the organization can be confident that critical apps will keep running, and operations won’t be disrupted. When you take advantage of Azure Migrate tools and use a phased migration approach, your workloads can be moved into Azure with minimal disruption. This is particularly valuable in high-stakes projects, such as migrating core applications to Azure or executing a data center consolidation or full exit strategy.
Rationalize and Optimize: Making the Cloud Fit Your Organization
Applications might be modernized to take advantage of cloud-native agility and efficiencies. Workloads might be redistributed between the public cloud, private cloud, and edge environments, especially as the organization begins to implement FinOps practices and cost monitoring to ensure that every dollar spent is driving value. Idle resources can be decommissioned, overprovisioned workloads right-sized, and hybrid strategies recalibrated to balance costs and performance.
AI readiness should also be a key consideration when optimizing the environment. AI workloads consume enormous amounts of storage and compute, and because of this, require distinctive networking and security strategies. Microsoft Fabric and similar tools are critical for ensuring workloads and applications are optimized for AI by providing global access to AI services, pre-built models, and advanced analytics and intelligence solutions. Tools are also available to guide adopters through the entire AI lifecycle, from ideation (identifying use cases) through model testing and prototyping, to deploying AI at scale.
Finding the Right Partner
Look for a partner who offers a comprehensive array of services. Proactive monitoring of the environment, for instance, reduces security risk and the need for firefighting. Managed detection and incident response services support cyber resilience, while compliance reporting helps you stay audit-ready.
You also need someone with true expertise, which is demonstrated through partner certifications. Connection is certified as a Microsoft Azure Expert MSP, a distinction held by fewer than 1% of Microsoft partners worldwide. In addition, Connection is one of the few firms globally to have achieved the Microsoft Solutions Partner designation in all six solution areas, along with the advanced Solutions Partner for the Microsoft Cloud specialization.
Connection’s approach is relationship-driven, with a strong focus on customer satisfaction demonstrated by high NPS scores and loyalty.
Your relationship with Connection will improve your organization’s productivity by reducing the burden of managing your IT and cloud environment. With deep visibility into your cloud spending, you’ll have greater financial control. Well-architected, secure design will ensure the reliability of your infrastructure. Connection can deliver AI readiness to accelerate innovation and help you prepare for changing demands on IT and help you drive agility.
Connection is your partner for modern infrastructure and cybersecurity solutions and services. From hardware and software to consulting and customized solutions, we’re leading the way in infrastructure modernization.
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- Gartner, Gartner Forecasts Worldwide Public Cloud End-User Spending to Total $723 Billion in 2025, 2024, https://www.gartner.com/en/newsroom/press-releases/2024-11-19-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-total-723-billion-dollars-in-2025
- Gartner, Gartner Identifies the Top Trends Shaping the Future of Cloud, 2025, https://www.gartner.com/en/newsroom/press-releases/2025-05-13-gartner-identifies-top-trends-shaping-the-future-of-cloud
- CIO, The great repatriation? IT leaders reset cloud strategies to optimize value, 2024, https://www.cio.com/article/2520890/the-great-repatriation-it-leaders-reset-cloud-strategies-to-optimize-value.html





