A Guide to Infrastructure Modernization
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The Need for Agility Is Greater Than Ever
Organizations today are facing unprecedented change, and they need infrastructure that can adapt just as fast. It’s not enough to plan and budget a refresh every few years and hope for the best. The pressure to modernize infrastructure resources is coming from multiple directions, and there are significant consequences for falling behind.
AI is driving the need for change
AI workloads demand scalable capacity with predictable performance, data sovereignty and cost control. Many organizations are learning that the most cost-effective place to run AI at scale isn’t always in the cloud, which is driving cloud rebalancing and data repatriation.
Cloud sprawl is real
As organizations hit cloud contract renewals, they’re realizing that the costs don’t always align with expectations. As a result, businesses are reassessing which workloads work best in which locations across a modern infrastructure.
83%
of CIOs say they’re spending more on cloud infrastructure and applications than they anticipated.1
Security and cyber insurance pressures are increasing
Legacy infrastructure increases cyber risk, and greater risk means higher cyber insurance premiums. Threat actors are leveraging AI to increase the sophistication and frequency of their attacks, compressing attack timelines and targeting organizations with outdated environments.
Operational drag is inhibiting innovation
When IT teams are stuck firefighting instead of focusing on strategic initiatives that improve supportability and user experience, innovation stagnates. In addition, manual management, fragmented tools and poor visibility slow response times and inflate risk.
What once was a basic operational requirement has transformed into a strategic imperative.
Key Considerations for Infrastructure Modernization
Modernizing your infrastructure goes faster and more smoothly when you start with a clear picture of what’s driving change and what’s quietly increasing risk. Consider the following questions to help pressure-test priorities, uncover dependencies and avoid the common “we’ll fix it as we go” traps.
What are the primary use cases driving assessment?
Before you evaluate platforms or partners, get specific on the use cases shaping your next 12–24 months. When infrastructure decisions are tied to measurable outcomes (performance, resilience, cost control, time to deliver), it’s easier to align stakeholders and avoid overbuilding for edge cases.
AI readiness
Preparing for AI workloads takes serious upfront planning and often exposes real constraints in your environment, especially around GPU-ready compute, east-west network throughput and the physical realities of power and cooling. It also forces hard decisions about where data lives and moves since data gravity can make “just put it in the cloud” impractical for performance, cost and governance.
Cloud rebalancing/repatriation
If cloud spend is outpacing value, renewals and contract cycles become natural decision points to reassess workload placement. A thorough assessment clarifies which workloads benefit from cloud elasticity and managed services and which are better suited to on-premises or colocation for predictable performance and economics.
Cyber resilience and recoverability
Security is no longer only about prevention. Assessing infrastructure and operational processes needs to include how quickly you can detect, contain and recover, along with whether recovery targets (RTO/RPO) are realistic given current architecture and operational maturity.
Operational simplification and automation
Infrastructure sprawl often shows up as tool fragmentation, manual tickets and slow change cycles. An assessment should identify where standardization, orchestration and automation can reduce day-to-day overhead, improve consistency and free teams to focus on higher-value initiatives. A wide range of options exist to improve management, from COTS to custom DevOps pipelines and AI-enhanced solutions.
What are common pitfalls to avoid?
Most infrastructure initiatives don’t fail because the technology is wrong. They stall because hidden dependencies, unclear ownership and unrealistic assumptions about time, talent and integration effort show up midstream when changes are hardest to absorb.
Treating modernization as isolated upgrades
Point upgrades (network, compute, storage, etc.) can temporarily reduce pain but they often lock in old patterns and create mismatched capabilities across the stack. Without an architectural view, “refreshing what’s broken” can leave you with new components that don’t improve outcomes like resilience, workload mobility or operational efficiency.
Failing to account for AI use cases and workloads early enough
Without clear AI workload requirements up front, including data sources, model needs, latency targets and security considerations, teams risk building infrastructure that can’t support the intended outcomes. The result is rework, unexpected costs and delays when AI initiatives move from pilot to production.
Siloed vendor decisions without architectural context
Choosing products in isolation can introduce integration friction, duplicate tooling and inconsistent security or management models. An architectural lens helps ensure each decision supports the full system, including how workloads are placed, managed and recovered across on-premises and cloud.
Failing to account for supply chain constraints
SSD and storage memory shortages can delay hardware refreshes and expansions, forcing teams into last-minute substitutions or extending the life of aging infrastructure. That can create performance bottlenecks, compatibility issues and unplanned costs.
Overestimating internal capacity to integrate and operate new platforms
Even when implementation goes well, long-term success depends on day-two operations: monitoring, patching, configuration management, cost governance and incident response. If staffing and skills are already stretched thin, the gap will be exposed with delayed rollouts, technical debt and platforms that never provide their intended value.
25%
Gartner predicts 25% of organizations will have experienced significant dissatisfaction with their cloud adoption by 2028, due to unrealistic expectations, suboptimal implementation and/or uncontrolled costs.2
What can a comprehensive assessment accomplish?
An assessment turns ambiguity into a practical plan. The goal isn’t a generic report, it’s a clear, prioritized path that aligns infrastructure choices to business goals, operational realities and timing constraints.
Establishes current-state reality (not assumptions)
Validate what’s currently in place including dependencies, constraints and operational bottlenecks that don’t show up in high-level diagrams. That baseline becomes the shared source of truth for decision-making and planning.
Maps business goals to infrastructure requirements
Translate initiatives like AI adoption, faster delivery and risk reduction into requirements across compute, storage, networking, security and management. This keeps modernization grounded in outcomes rather than feature comparisons.
Identifies quick wins and long-term sequencing
Not everything needs to happen at once, and some moves unlock others. Prioritize near-term actions that reduce risk or cost quickly while building a sequenced roadmap that avoids disruption and supports long-range modernization goals.
Builds a realistic, flexible procurement plan
An assessment validates capacity, performance and refresh priorities so you can phase upgrades and order critical components earlier. It also helps identify acceptable alternatives and configurations in advance, reducing rework and keeping modernization milestones on track.
The CDW Modern Infrastructure Practice
Infrastructure modernization works best when you treat it as a lifecycle, not a one-time project. CDW’s approach is designed to provide you with a single partner who understands the entire journey across the data center and cloud, so each decision supports performance, security and resilience from day one and beyond.
Assess
Business and technical discovery
Start by aligning business priorities with the technical realities underneath them. CDW helps you surface constraints and dependencies so the plan is based on how your environment actually runs, not how it looks on paper. This is especially important for AI projects where goals, data governance and other considerations apply.
Workload placement strategy (on-premises vs. cloud vs. distributed)
Modern infrastructure is about putting the right workload in the right location with the right economics. We evaluate workload requirements like latency, data gravity, compliance and cost predictability to determine where each workload should live today and what it will need to move safely over time.
Risk, resilience and operational maturity evaluation
Infrastructure decisions are inseparable from recoverability and operational readiness. CDW assesses resilience gaps, risk exposure and the maturity of processes and tooling so you can modernize with clear guardrails and realistic run-state expectations.
Design
Architecture that supports AI, security and scale
Design should address what needs fixing today and anticipate what’s coming next. That’s why we design architecture for AI-era demands and evolving cybersecurity threats while ensuring the environment can scale without adding complexity.
Management and visibility built in — not bolted on
If observability and control come later, they usually never catch up. We design with best practices for visibility and governance baked in from the start, so modern infrastructure environments stay manageable as they expand.
Vendor selection based on best fit
Technology choices should map to your outcomes, constraints and existing investments. CDW helps you compare options objectively, so you find solutions that best fit your use case and your ecosystem.
Orchestrate
Integration across compute, storage, networking, security and cloud
Successful infrastructure modernization depends on how well the layers work together, rather than how strong each component is alone. CDW integrates across domains to reduce handoffs, eliminate tool sprawl and create consistent policy and performance from edge to cloud for users in the workplace and while mobile.
Automation and AIOps adoption to reduce manual overhead
Manual work is where inconsistency and risk creep in. We identify repeatable operational tasks that can be automated and apply the appropriate solution — from COTS to custom DevOps pipelines and AI-enhanced management — to speed response and reduce time spent firefighting.
Sequenced execution to avoid disruption
Modernization is easier when it is staged around dependencies and business impact. CDW builds an execution sequence that protects uptime and delivers value in measurable increments.
Manage
Ongoing optimization
Without continuous tuning, modern infrastructure environments have a tendency to drift. CDW helps optimize performance and cost over time so workloads stay aligned to business needs and infrastructure keeps pace with changing demand.
Security posture evolution
Threats change faster than most infrastructure roadmaps. That’s why we support ongoing security posture improvements across identity, configuration, patching and monitoring so resilience strengthens as your infrastructure footprint grows.
Support for operations so IT can focus on higher-value work
When internal teams are stretched, progress slows and risk rises. CDW can absorb operational burden where it makes sense so your team spends less time on routine upkeep and more time enabling the business.
End-user support
Whether it’s employees, students, clinicians or your customers, the ultimate goal of modernizing infrastructure is to enable application users to be more productive. CDW supports that goal by providing support services that help resolve issues quickly, streamline onboarding and keep users productive across devices and applications.
CDW Delivers a Smarter Approach to Infrastructure Modernization
The value of infrastructure modernization is ultimately measured in outcomes: how well you can support organizational growth and innovation while controlling costs, minimizing risk and keeping operations manageable as complexity grows. CDW brings the expertise, services and partner breadth to help organizations modernize with a clear path forward, aligning the right architecture and execution model to business priorities across on-premises and cloud.
25%
Only 25% of organizations believe they are completely successful at building and managing their multicloud networks.3
Deep technical expertise
Infrastructure modernization isn’t only about selecting the right products, it’s about understanding how the full system behaves when compute, storage, networking, security and cloud services intersect. CDW brings cross-domain expertise that spans assessment through long-term operations, using repeatable, customer-proven frameworks to navigate AI readiness, security demands and cloud tradeoffs with confidence.
End-to-end services
Continuity matters because modern infrastructure is a lifecycle, not a one-time deployment. CDW is a single, accountable partner to help you reach your infrastructure objectives. We can engage wherever you need help most, reducing internal hiring pressure and execution risk while building executive confidence that plans will translate into operational reality.
Breadth of partners
Modernization works best when you can choose what fits your environment and outcomes. CDW’s independent experts can help you evaluate industry-leading solutions from our broad partner ecosystem to find best-fit options that support your business goals.
Four Ways CDW Modern Infrastructure Services Drive Value
By aligning workload needs to the right environments and standardizing how you manage them, you can improve performance and usability, control costs and reduce risk while keeping day-to-day operations predictable.
Improve cost control and transparency — Get better visibility into spend across on-premises, cloud and edge so you can reduce waste, right-size resources and make workload placement decisions based on total cost of ownership and business value.
Strengthen security and cyber resilience — Apply consistent security controls and governance across environments while improving your ability to detect, contain and recover from incidents through better segmentation, recovery planning and operational readiness.
Increase agility and speed to deliver — Standardize platforms and automate repeatable tasks to reduce manual effort and help teams support new initiatives like AI and application modernization faster.
Reduce complexity and operational burden — Simplify management across diverse infrastructure with centralized monitoring and streamlined processes, supported by expert services that can fill skill gaps and offload ongoing operations when needed.
Sources:
1 Azul, “CIO Cloud Trends Survey & Report,” March 2025
2 Gartner, “Gartner Identifies the Top Trends Shaping the Future of Cloud,” May 2025
3 EMA, Enterprise Strategies for Hybrid, Multi-Cloud Networks, April 2025
Empowering Innovation Together
Ready to take the next step toward a modern infrastructure environment that’s easier to operate, more resilient and aligned to your priorities? Connect with CDW to schedule an assessment and get a clear roadmap so you can be ready for what’s next.