Understand
Normalize the current environment, workloads, dependencies, contracts and operating requirements.
Spend less. Compromise nothing. Take back control of your IT budget.
Broadcom infrastructure software revenue rose from $21.5B in FY24 to $27.0B in FY25. The segment includes VMware/private cloud alongside Broadcom’s other infrastructure software businesses; Broadcom does not separately disclose VMware-only revenue.
Gartner forecasts worldwide public cloud services revenue to grow 20.9% in 2026 to approximately $1.03 trillion.
IDC reported worldwide Ethernet switch revenue of $55.1B in 2025, up 31.5% year over year. The datacenter segment grew 53.5% to $32.5B, driven heavily by AI infrastructure demand.
Microsoft Cloud revenue reached $214.4B in FY26, up 27% year over year. Azure and other cloud services revenue grew 41% for the full fiscal year.
Gartner forecasts worldwide AI spending to reach $2.59T in 2026, up 47% year over year. AI infrastructure is expected to represent more than 45% of that spending.
Infrastructure decisions can destroy an IT budget. Start where the pressure is today and see the options your peers are evaluating.
VMware, cloud, network, Microsoft and AI are usually bought separately even though the economics move together.
The renewal exposes the symptom. Workload placement, cloud consumption, network, egress, security and Microsoft economics may be driving the larger infrastructure cost problem.
“Business value drives technology decisions.”— FinOps Foundation
The renewal is one decision. The economics extend across the infrastructure.
Illustrative annualized example based on the stated environment: VMware $290K → $230K; network $18K/mo → $15K/mo; egress $30K/mo → $15K/mo; security consolidation saves $45K/yr; Microsoft licensing $30 → $25 for 550 users. AI tooling assumes 200 paid AI seats at $30/user/mo rationalized to 120 seats ($28.8K/yr savings) plus token/API consumption reduced from $4K/mo to $2.5K/mo ($18K/yr savings), for $46.8K (~$47K) annual AI savings. Security baseline spend was not provided, so no total-infrastructure percentage reduction is claimed.
Independent engineering connects workload requirements, architecture, provider economics and commercial timing before the enterprise commits.
Normalize the current environment, workloads, dependencies, contracts and operating requirements.
Compare the viable infrastructure, cloud, network, Microsoft, AI and control-plane paths.
Test pricing, consumption, unit economics, architecture assumptions and market alternatives.
Provide an independent recommendation based on workload fit, resiliency, supportability and total economics.
Challenge the assumptions before renewal, migration, refresh or platform commitment.
Choose the use case closest to your environment. Each selection opens directly into its own focused viewing experience.
Results reflect the environment and decisions modeled. Actual outcomes vary based on infrastructure, contracts, utilization and implementation.
See the suppliers, platforms and economic models we evaluate across VMware, cloud, network, Microsoft and AI.
Explore Our Technology Ecosystem →LogiCloudiQ combines enterprise infrastructure strategy, provider economics, business systems and operating discipline to help IT leaders make better decisions across compute, cloud, network, Microsoft, security, data and AI.
Mark Wyly is a technology executive with more than 20 years across enterprise infrastructure, cloud and networking. His experience across Lumen, Windstream, Varnish Software and other technology providers gave him an early view of a fundamental shift: VMware, cloud, network, Microsoft, data and AI were becoming interconnected technical and financial decisions.
He founded LogiCloudiQ to address that complexity—bringing independent intelligence, engineering and supplier options around the workload before the enterprise commits. His vision is simple: connect infrastructure strategy to enterprise economics, giving technology leaders greater clarity, financial control and better business outcomes.
Mark Szotkowski brings more than two decades of technology leadership spanning strategy, sales, operations, cloud and business transformation. A former RapidScale executive, he led national go-to-market and operational initiatives and later served as Chief Strategy Officer, with responsibility extending into strategic growth, business-system automation and M&A strategy. At LogiCloudiQ, he brings operational and financial discipline to the company’s infrastructure intelligence model—connecting strategy to execution and scalable business outcomes.
LinkedIn ↗LogiCloudiQ brings the right technical and commercial specialists into the decision as the environment requires them. Advisors connect the client objective, supplier landscape and economics; engineering specialists pressure-test architecture, implementation requirements, security and operational fit.
Advisors orchestrate the decision across workload requirements, supplier options, commercial structures, contracts and business outcomes—keeping the analysis connected instead of evaluating each technology in isolation.
Network architecture, carrier strategy, NaaS, SD-WAN, private connectivity, inter-cloud traffic, resiliency and egress economics.
Identity, access, network and cloud security, control-plane design, governance requirements and security-tool rationalization.
Microsoft 365, Azure, licensing, security, Copilot, data, business applications and the CSP/MSP operating model.
VMware estate analysis, core requirements, VCF economics, renewal strategy, procurement paths and workload-placement alternatives.
Hyperscaler architecture and consumption support for workload placement, modernization, cloud economics, connectivity and implementation validation.
Bring the workload inventory, renewal timing, infrastructure lifecycle and the paths you are evaluating. We will help you model the technical fit, operating impact and economics across the viable options.
Review the Decision →A managed VMware or CSP model can be the fastest path when the application cannot move before the renewal, but the enterprise no longer wants to own the hardware and licensing model.
LogiCloudiQ Engineering evaluates the workload requirements, dependencies, operational model, migration implications and full economics across the viable infrastructure paths. We provide the insights, recommendations and pressure testing needed to make the decision—agnostically, with no requirement to favor VMware, an alternative platform, public cloud or managed provider.
Nutanix is often the strongest enterprise re-platform when the organization wants to get away from VMware without taking a large step backward in lifecycle, support or virtualization operations.
LogiCloudiQ Engineering evaluates the workload requirements, dependencies, operational model, migration implications and full economics across the viable infrastructure paths. We provide the insights, recommendations and pressure testing needed to make the decision—agnostically, with no requirement to favor VMware, an alternative platform, public cloud or managed provider.
Proxmox can be a very strong answer for standard virtual machines when the enterprise is willing to own more of the architecture and operating model.
LogiCloudiQ Engineering evaluates the workload requirements, dependencies, operational model, migration implications and full economics across the viable infrastructure paths. We provide the insights, recommendations and pressure testing needed to make the decision—agnostically, with no requirement to favor VMware, an alternative platform, public cloud or managed provider.
VergeOS is more interesting when the comparison is not hypervisor versus hypervisor, but the number of infrastructure layers the enterprise can remove.
LogiCloudiQ Engineering evaluates the workload requirements, dependencies, operational model, migration implications and full economics across the viable infrastructure paths. We provide the insights, recommendations and pressure testing needed to make the decision—agnostically, with no requirement to favor VMware, an alternative platform, public cloud or managed provider.
Karios is strongest where the problem is bigger than VMware: too many infrastructure layers, appliances and remote-site operating burdens.
LogiCloudiQ Engineering evaluates the workload requirements, dependencies, operational model, migration implications and full economics across the viable infrastructure paths. We provide the insights, recommendations and pressure testing needed to make the decision—agnostically, with no requirement to favor VMware, an alternative platform, public cloud or managed provider.
OpenStack is not the simple VMware replacement. It is a private-cloud operating model for organizations with the scale, engineering discipline and automation maturity to run infrastructure as a cloud.
LogiCloudiQ Engineering models the workload, utilization, data movement, resiliency, network and operating requirements across public cloud, private infrastructure and managed alternatives. We pressure-test the assumptions and recommend the best-fit destination without a predetermined cloud or provider outcome.
If the organization is already deeply invested in Windows Server, identity, PowerShell and Microsoft operations, Hyper-V can be less of a migration than it appears.
LogiCloudiQ Engineering maps the existing Microsoft estate, workload requirements, licensing, infrastructure dependencies and operating model against the available paths. We provide the technical and economic insight to pressure-test the decision and make a recommendation based on fit—not on a Microsoft or competing-platform preference.
Azure Local makes sense when the strategic destination is Azure governance and operations, but some workloads still need to remain physically close to users, data or regulated environments.
LogiCloudiQ Engineering maps the existing Microsoft estate, workload requirements, licensing, infrastructure dependencies and operating model against the available paths. We provide the technical and economic insight to pressure-test the decision and make a recommendation based on fit—not on a Microsoft or competing-platform preference.
The important question is no longer how to connect to a hyperscaler. It is how workloads move between clouds, regions, data centers and security services without creating uncontrolled egress and routing complexity.
LogiCloudiQ Engineering evaluates traffic flows, cloud architecture, egress, routing, security insertion and commercial structure across the viable network approaches. The role is to surface tradeoffs, pressure-test assumptions and recommend the architecture that best fits the workload—not to steer the decision toward a carrier or platform.
Megaport changes the model from buying fixed circuits around individual cloud connections to consuming network capacity as an on-demand service across data centers and clouds.
LogiCloudiQ Engineering evaluates traffic flows, cloud architecture, egress, routing, security insertion and commercial structure across the viable network approaches. The role is to surface tradeoffs, pressure-test assumptions and recommend the architecture that best fits the workload—not to steer the decision toward a carrier or platform.
Private hyperscaler on-ramps still have a role. The legacy pattern is treating one dedicated circuit into one cloud as the complete network architecture.
LogiCloudiQ Engineering evaluates traffic flows, cloud architecture, egress, routing, security insertion and commercial structure across the viable network approaches. The role is to surface tradeoffs, pressure-test assumptions and recommend the architecture that best fits the workload—not to steer the decision toward a carrier or platform.
Cloud repatriation should not be ideological. Some workloads are cheaper and easier in cloud; others become expensive because they are stable, data-heavy and predictable.
LogiCloudiQ Engineering models the workload, utilization, data movement, resiliency, network and operating requirements across public cloud, private infrastructure and managed alternatives. We pressure-test the assumptions and recommend the best-fit destination without a predetermined cloud or provider outcome.
Not every cloud problem requires migration. In many environments the first answer is to stop paying for idle, oversized or poorly governed consumption.
LogiCloudiQ Engineering models the workload, utilization, data movement, resiliency, network and operating requirements across public cloud, private infrastructure and managed alternatives. We pressure-test the assumptions and recommend the best-fit destination without a predetermined cloud or provider outcome.
The question is not whether Microsoft 365 is negotiated well. It is whether every user actually needs the license bundle they have accumulated.
LogiCloudiQ Engineering maps the existing Microsoft estate, workload requirements, licensing, infrastructure dependencies and operating model against the available paths. We provide the technical and economic insight to pressure-test the decision and make a recommendation based on fit—not on a Microsoft or competing-platform preference.
ERP and CRM modernization changes identity, integration, data, cloud consumption and licensing. It should not be evaluated as a standalone application purchase.
LogiCloudiQ Engineering maps the existing Microsoft estate, workload requirements, licensing, infrastructure dependencies and operating model against the available paths. We provide the technical and economic insight to pressure-test the decision and make a recommendation based on fit—not on a Microsoft or competing-platform preference.
Most enterprises are not deciding whether to use AI anymore. They are deciding how Copilot, ChatGPT, Claude, internal agents, data access and model infrastructure coexist without runaway cost or governance gaps.
LogiCloudiQ Engineering examines model access, agents, data, identity, infrastructure, governance and consumption economics across the available AI approaches. We pressure-test the architecture and provide recommendations based on the enterprise requirement, without a preferred model, cloud or tooling outcome.
For many enterprises, a complete VMware exit is neither necessary nor economically rational. The better decision is often to shrink the VMware estate to the workloads that actually require its capabilities, support model or operational maturity.
LogiCloudiQ Engineering examines model access, agents, data, identity, infrastructure, governance and consumption economics across the available AI approaches. We pressure-test the architecture and provide recommendations based on the enterprise requirement, without a preferred model, cloud or tooling outcome.
This path keeps infrastructure under enterprise control while changing the virtualization or private-cloud layer. It fits organizations that still value local performance, data control, infrastructure ownership or predictable economics but no longer want Broadcom to define the platform strategy.
LogiCloudiQ Engineering evaluates the workload requirements, dependencies, operational model, migration implications and full economics across the viable infrastructure paths. We provide the insights, recommendations and pressure testing needed to make the decision—agnostically, with no requirement to favor VMware, an alternative platform, public cloud or managed provider.
Managed private cloud and IaaS can remove the enterprise from the hardware, capacity and platform lifecycle while preserving a familiar virtual-machine operating model. This is often the most practical path when the business wants change faster than the application portfolio can be re-platformed.
LogiCloudiQ Engineering evaluates the workload requirements, dependencies, operational model, migration implications and full economics across the viable infrastructure paths. We provide the insights, recommendations and pressure testing needed to make the decision—agnostically, with no requirement to favor VMware, an alternative platform, public cloud or managed provider.
For Windows-heavy enterprises, the Microsoft estate can become an infrastructure strategy rather than a software-license category. Hyper-V and Azure-aligned infrastructure may reduce platform fragmentation while preserving familiar administrative and identity models.
LogiCloudiQ Engineering maps the existing Microsoft estate, workload requirements, licensing, infrastructure dependencies and operating model against the available paths. We provide the technical and economic insight to pressure-test the decision and make a recommendation based on fit—not on a Microsoft or competing-platform preference.
Public cloud is a strong destination for workloads that benefit from elasticity, managed services, geographic scale or application modernization. It is a poor VMware-exit strategy when virtual machines are simply lifted into a more expensive consumption model without changing how they operate.
LogiCloudiQ Engineering models the workload, utilization, data movement, resiliency, network and operating requirements across public cloud, private infrastructure and managed alternatives. We pressure-test the assumptions and recommend the best-fit destination without a predetermined cloud or provider outcome.
Large estates rarely have one workload type. A portfolio approach lets infrastructure leadership preserve VMware where justified, modernize on-premises where control matters, use IaaS where operations should be outsourced and move cloud-suitable applications to hyperscale platforms.
LogiCloudiQ Engineering evaluates the workload requirements, dependencies, operational model, migration implications and full economics across the viable infrastructure paths. We provide the insights, recommendations and pressure testing needed to make the decision—agnostically, with no requirement to favor VMware, an alternative platform, public cloud or managed provider.
A 40% reduction in VMware cores does not automatically create a 40% reduction in the next renewal. The remaining estate may be smaller while per-core economics, packaging, minimums, support structure or renewal pricing absorb much of the expected savings.
LogiCloudiQ Engineering reconstructs the decision from the workload level up—remaining VMware footprint, migration history, cloud consumption, network paths and renewal structure. We pressure-test the assumptions, show where the economics did or did not materialize, and provide recommendations across the viable paths without a preference for VMware, Azure, another hyperscaler, private cloud or a managed provider.
When workloads move from VMware into Azure or another hyperscaler, the migration creates a new consumption baseline. If the VMware renewal does not compress proportionally, the enterprise can carry both a stubborn VMware cost and a growing cloud run-rate.
LogiCloudiQ Engineering reconstructs the decision from the workload level up—remaining VMware footprint, migration history, cloud consumption, network paths and renewal structure. We pressure-test the assumptions, show where the economics did or did not materialize, and provide recommendations across the viable paths without a preference for VMware, Azure, another hyperscaler, private cloud or a managed provider.
Moving workloads changes traffic patterns. Applications that once communicated inside the data center may now cross cloud regions, clouds, private infrastructure and security services. That traffic can create a new cost layer that was not visible in the original VMware migration model.
LogiCloudiQ Engineering reconstructs the decision from the workload level up—remaining VMware footprint, migration history, cloud consumption, network paths and renewal structure. We pressure-test the assumptions, show where the economics did or did not materialize, and provide recommendations across the viable paths without a preference for VMware, Azure, another hyperscaler, private cloud or a managed provider.
The first VMware reduction wave was often driven by timing: get cores out before renewal. The next decision is more strategic—whether the workloads that moved are in the right place and whether the remaining VMware estate is the correct long-term footprint.
LogiCloudiQ Engineering reconstructs the decision from the workload level up—remaining VMware footprint, migration history, cloud consumption, network paths and renewal structure. We pressure-test the assumptions, show where the economics did or did not materialize, and provide recommendations across the viable paths without a preference for VMware, Azure, another hyperscaler, private cloud or a managed provider.
Infrastructure categories are often budgeted and renewed independently even though they are technically and financially connected. A VMware decision can change hardware, cloud, network and Microsoft economics. A cloud decision can change egress, security and connectivity. AI adds another consumption layer on top.
LogiCloudiQ Engineering does not begin with a preferred supplier or destination. We normalize the current environment, connect the technical dependencies and commercial events, model the viable paths, and pressure-test the expected outcomes. The recommendation is driven by workload fit, operating requirements and total economics across the environment.
The same workload can have very different economics depending on whether it remains on VMware, moves to another on-premises platform, shifts to managed IaaS or runs in public cloud. The lowest unit price is not necessarily the lowest total operating cost.
LogiCloudiQ Engineering does not begin with a preferred supplier or destination. We normalize the current environment, connect the technical dependencies and commercial events, model the viable paths, and pressure-test the expected outcomes. The recommendation is driven by workload fit, operating requirements and total economics across the environment.
VMware renewals, Microsoft agreements, cloud commitments, carrier contracts and hardware refreshes rarely occur at the same time. If they are managed independently, the enterprise can lock itself into costs that undermine the next infrastructure decision.
LogiCloudiQ Engineering does not begin with a preferred supplier or destination. We normalize the current environment, connect the technical dependencies and commercial events, model the viable paths, and pressure-test the expected outcomes. The recommendation is driven by workload fit, operating requirements and total economics across the environment.
A strong supplier negotiation can lower a unit price while the total run-rate continues to rise. Financial control requires understanding what is being consumed, why it exists and whether the architecture itself is creating unnecessary cost.
LogiCloudiQ Engineering does not begin with a preferred supplier or destination. We normalize the current environment, connect the technical dependencies and commercial events, model the viable paths, and pressure-test the expected outcomes. The recommendation is driven by workload fit, operating requirements and total economics across the environment.
The enterprise may have strong individual security tools while still lacking a consistent answer to a basic question: who can access which application, workload and data, from where, and under what policy?
LogiCloudiQ Engineering maps the current control environment across identity, infrastructure, applications, cloud, data and AI. We identify gaps and overlap, pressure-test the existing architecture and recommend how controls should be rationalized or extended. The analysis is agnostic to security platform, cloud, data platform or AI provider—the objective is control, not another product.
Enterprise data now moves across SaaS, cloud platforms, Microsoft environments, business systems, analytics platforms and AI tools. Governance has to begin with understanding where sensitive data exists and how users, applications and models reach it.
LogiCloudiQ Engineering maps the current control environment across identity, infrastructure, applications, cloud, data and AI. We identify gaps and overlap, pressure-test the existing architecture and recommend how controls should be rationalized or extended. The analysis is agnostic to security platform, cloud, data platform or AI provider—the objective is control, not another product.
Copilot, ChatGPT, Claude, embedded SaaS AI, RAG systems and agents can all interact with enterprise information differently. Blocking tools does not create governance. The organization needs an operating model for approved access, identity, data, actions and consumption.
LogiCloudiQ Engineering maps the current control environment across identity, infrastructure, applications, cloud, data and AI. We identify gaps and overlap, pressure-test the existing architecture and recommend how controls should be rationalized or extended. The analysis is agnostic to security platform, cloud, data platform or AI provider—the objective is control, not another product.
Many enterprises already own most of the controls they need, but those controls live inside different platforms with different owners, policies and telemetry. The first decision is often how to orchestrate what already exists before adding more tooling.
LogiCloudiQ Engineering maps the current control environment across identity, infrastructure, applications, cloud, data and AI. We identify gaps and overlap, pressure-test the existing architecture and recommend how controls should be rationalized or extended. The analysis is agnostic to security platform, cloud, data platform or AI provider—the objective is control, not another product.
The Azure decision is not simply whether a workload can run there. It is whether Azure improves the application's operating model and total economics after compute, storage, data movement, network, resiliency and management are included.
LogiCloudiQ Engineering maps the existing Microsoft estate, workload requirements, licensing, infrastructure dependencies and operating model against the available paths. We provide the technical and economic insight to pressure-test the decision and make a recommendation based on fit—not on a Microsoft or competing-platform preference.
Copilot, agents and AI applications ultimately depend on governed data, usable context and an intentional consumption model. The AI decision should therefore include Fabric, Power BI, Azure AI Foundry, Copilot Studio and the underlying data architecture.
LogiCloudiQ Engineering maps the existing Microsoft estate, workload requirements, licensing, infrastructure dependencies and operating model against the available paths. We provide the technical and economic insight to pressure-test the decision and make a recommendation based on fit—not on a Microsoft or competing-platform preference.
Entra, Defender, Purview and Sentinel can overlap capabilities already purchased elsewhere. The decision is not to default everything to Microsoft; it is to determine where Microsoft improves control and where a specialized platform still earns its place.
LogiCloudiQ Engineering maps the existing Microsoft estate, workload requirements, licensing, infrastructure dependencies and operating model against the available paths. We provide the technical and economic insight to pressure-test the decision and make a recommendation based on fit—not on a Microsoft or competing-platform preference.
Before carrying the current VMware estate into its next lifecycle, validate what the transition could change across infrastructure, economics and workload placement.
CPU, controller, storage and hardware compatibility can turn a software lifecycle event into a refresh decision.
VCF 9 requirements can affect switching, management networking and adjacent infrastructure design.
Version 9 introduces a different subscription-management model and new commercial considerations.
Supported paths can vary, making readiness and sequencing something to validate well before the deadline.
Determine what should remain, move, modernize or retire before sizing the next environment.
Model the connected economics before committing to the next lifecycle.
We can pressure-test your VMware estate, VCF 9 readiness, workload placement and the economics around the transition.
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