Accelerate app modernization by creating a standardized path to production on a secure private cloud. VMware Cloud Foundation gives IT teams the automation, Kubernetes support, and built-in security to modernize applications without rebuilding infrastructure from scratch.
Best for
Most organizations want to modernize their application portfolio. But infrastructure limitations, skills gaps, and security concerns slow progress. These are the five challenges IT leaders face most often.
72% of organizations say they must deploy applications at least 25% faster to stay competitive. Manual provisioning and ticketing processes create bottlenecks that slow every release cycle.
Without self-service infrastructure, developers wait days or weeks for environments — killing velocity.
32% of organizations lack the Kubernetes skills needed to run containerized workloads effectively. The gap between infrastructure teams and development teams continues to widen.
Running containers at scale requires orchestration, networking, and storage capabilities that traditional VM infrastructure was not designed for.
As workloads span VMs, containers, and multiple tiers, IT teams lose visibility into performance, capacity, and cost. Troubleshooting becomes slower and more reactive.
Without unified monitoring across the full stack, problems get discovered by users instead of operations teams.
Different teams manage separate infrastructure stacks for development, testing, and production. Inconsistencies between environments cause deployment failures and increase troubleshooting time.
Fragmented tooling creates silos that prevent IT from operating as a unified platform team.
39% of organizations are investing in AI workloads that must run behind their firewall. 60% say AI presents new data privacy risks they are not yet equipped to handle.
Legacy infrastructure lacks the microsegmentation and zero-trust capabilities needed for modern compliance requirements.
VCF Automation replaces manual ticketing with self-service infrastructure provisioning. Development teams request environments through a catalog, and automation handles the rest.
This eliminates weeks of waiting and ensures consistent, policy-compliant environments every time.
vSphere Kubernetes Service embeds Kubernetes directly into the vSphere platform. Infrastructure teams familiar with vSphere can provision and manage Kubernetes clusters without deep container expertise.
Run VMs and containers side-by-side on the same infrastructure — no separate container platform required.
VCF Operations provides full-stack visibility across VMs, containers, storage, and networking from a single pane of glass. AI-driven analytics surface issues before they affect users.
Capacity planning, cost analysis, and performance optimization — all in one place.
VCF provides a single platform for compute, storage, networking, and management. Development, testing, and production run on the same architecture — eliminating "works on my machine" failures.
One operational model, one set of tools, one platform team.
VCF includes NSX networking with microsegmentation, distributed firewalling, and zero-trust capabilities built into the platform. No separate security appliances required.
Private AI workloads stay behind your firewall with data sovereignty and compliance built in from day one.
Development teams need fast access to infrastructure without filing tickets and waiting weeks. VCF Automation delivers a self-service catalog for provisioning VMs, containers, networks, and storage on demand.
IT retains governance and policy control while developers get the speed they need. This is the foundation for operating your private cloud like a public cloud — without giving up control.
Modern applications are built on containers and orchestrated by Kubernetes. But standing up and managing Kubernetes infrastructure is complex and requires specialized skills that many teams lack.
vSphere Kubernetes Service integrates Kubernetes directly into vSphere. Your infrastructure team manages clusters using familiar tools, while developers get self-service access to namespaces and resources.
39% of organizations are investing in AI that must run on-premises. 60% say AI presents new data privacy risks. Running AI in the public cloud is not an option for sensitive data.
VMware Private AI Foundation with NVIDIA allows organizations to run AI and ML workloads on their existing VCF infrastructure. Keep training data on-premises, maintain compliance, and deliver AI agents faster.
Modernizing applications introduces new compliance requirements. VCF provides built-in compliance frameworks and continuous enforcement so applications stay compliant through every release cycle.
AI agent development requires fast iteration on secure infrastructure. VCF provides the compute, networking, and automation foundation to accelerate AI development without compromising data privacy.
Microsegmentation and distributed firewalling protect applications at the network level. Zero-trust security is built into the platform — not bolted on as an afterthought.
Application modernization with VMware Cloud Foundation means creating a standardized, secure private cloud platform that supports both traditional VMs and modern containerized workloads.
VCF provides self-service infrastructure, Kubernetes orchestration, and built-in security so organizations can modernize applications without rebuilding their entire infrastructure.
No. VMware Cloud Foundation supports a phased approach. You can run existing VM-based applications alongside new containerized workloads on the same infrastructure.
Teams can modernize applications incrementally — starting with the ones that benefit most from containers and Kubernetes — without disrupting existing production workloads.
VMware Private AI Foundation with NVIDIA allows organizations to run AI and ML workloads on their existing VCF infrastructure behind their own firewall.
This addresses data privacy concerns by keeping sensitive training data on-premises while providing GPU-accelerated compute for AI model development and inference.
VCF reduces the Kubernetes skills gap by integrating vSphere Kubernetes Service directly into the platform. Infrastructure teams familiar with vSphere can provision and manage Kubernetes clusters without deep container expertise.
Developer teams get self-service access to namespaces and resources through VCF Automation, reducing the operational burden on infrastructure teams.
VCF Automation provides self-service IaaS capabilities that allow development teams to provision infrastructure on demand. This eliminates manual ticketing processes and accelerates deployment cycles.
Consistent, policy-compliant environments are provisioned automatically across development, testing, and production — helping organizations deploy applications up to 25% faster.
VirtualizationWorks helps organizations plan their application modernization strategy with VMware Cloud Foundation — from assessment through deployment and ongoing operations.
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