vCF (VMware Cloud Foundation)

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VCF 9.1 for Private AI: When the Private Cloud Becomes the AI Operating Model

Private AI is not just a question of where to place GPUs. That is where the conversation often begins, but it is not where the real architecture work lives. The harder problem is deciding how private AI will be operated, governed, secured, monitored, scaled, and recovered once it moves beyond the proof of concept stage. […]

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VCF 9.1 Management Services and Aria: Turning the Upgrade into an Operating Model

TL;DR VCF 9.1 changes the upgrade conversation because the management layer is no longer just a collection of adjacent appliances. VCF Operations, VCF Automation, VCF Management Services, license services, software depot, identity, logging, and lifecycle workflows become part of a more unified private cloud operating model. That means the VCF 5.2.x to 9.1 upgrade should

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Amazon EVS vs Private VCF: Cloud Escape Hatch or Long-Term Platform?

Amazon Elastic VMware Service is not automatically a cloud strategy. Sometimes it is a landing zone. Sometimes it is a disaster recovery target. Sometimes it is a practical way to avoid a data center deadline. Sometimes it is a temporary bridge while application teams decide what to modernize. And sometimes it is just a cloud

Amazon EVS vs Private VCF: Cloud Escape Hatch or Long-Term Platform? Read More »

Amazon EVS vs Private VCF: Cloud Escape Hatch or Long-Term Platform?

Amazon Elastic VMware Service is not automatically a cloud strategy. Sometimes it is a landing zone. Sometimes it is a disaster recovery target. Sometimes it is a practical way to avoid a data center deadline. Sometimes it is a temporary bridge while application teams decide what to modernize. And sometimes it is just a cloud

Amazon EVS vs Private VCF: Cloud Escape Hatch or Long-Term Platform? Read More »

Amazon EVS as a VMware Cloud Landing Zone: What Changes Inside an AWS VPC

Amazon Elastic VMware Service is easy to describe incorrectly. The shallow description is “VMware on AWS.” That is directionally true, but it misses the operational point. Amazon EVS is not just a place to run virtual machines. It is a way to place a VMware Cloud Foundation environment inside an AWS operating boundary, with Amazon

Amazon EVS as a VMware Cloud Landing Zone: What Changes Inside an AWS VPC Read More »

Amazon EVS as a VMware Cloud Landing Zone: What Changes Inside an AWS VPC

Amazon Elastic VMware Service is easy to describe incorrectly. The shallow description is “VMware on AWS.” That is directionally true, but it misses the operational point. Amazon EVS is not just a place to run virtual machines. It is a way to place a VMware Cloud Foundation environment inside an AWS operating boundary, with Amazon

Amazon EVS as a VMware Cloud Landing Zone: What Changes Inside an AWS VPC Read More »

VCF Private AI Services Networking: VDS + Foundation Load Balancer vs VPC Networking

VCF Private AI Services networking looks like an installer choice until you follow the consequences downstream. At first glance, the decision appears simple: deploy the vSphere Supervisor with traditional VDS networking and Foundation Load Balancer, or deploy it with VCF Networking using VPCs. Both can support Private AI Services. Both can get a Supervisor online.

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AI Agents Are the New Control Plane: Governing Identity, Tool Access, and Observability Across Azure, AWS, Google Cloud, and VCF

Introduction The first article in this series focused on multicloud control-plane sprawl. Azure, AWS, Google Cloud, and VMware Cloud Foundation each bring their own identity model, policy engine, network architecture, observability stack, automation surface, and lifecycle model. That is already enough to create governance fragmentation. AI agents add another layer. An agent is not just

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Azure AI, Azure Local, and vCF Private AI: A Practical Placement Comparison

AI placement decisions become more useful when they move from opinion to architecture criteria. The first article in this series focused on the core inputs: data gravity, latency, sovereignty, and cost. Those inputs explain why some AI workloads belong in managed cloud services, some belong close to local infrastructure, and some need a private AI

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Multi-Cloud Is Becoming Multi-Control-Plane: How to Avoid Governance Fragmentation Across Azure, AWS, Google Cloud, and VCF

TL;DR Multicloud is no longer just a workload placement problem. The harder problem is control-plane sprawl. Azure, AWS, Google Cloud, and VMware Cloud Foundation each bring their own identity model, policy engine, hierarchy, observability stack, network control plane, automation surface, and operational lifecycle. Those native control planes are useful. They become dangerous when each platform

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