Configuration drift, change validation and continuous compliance for hybrid estates.
Explore Guardian →Application packaging at scale, from VMs to containers, from desktops to virtual.
VM cost calculator →Run legacy Windows applications on any modern platform, no rewrites, guaranteed.
Explore Alchemy →Continuous compliance and audit-ready evidence for regulated estates.
Explore Guardian →Plan a VMware exit on your timeline, without rewrites or downtime.
Explore Foundry →Run legacy applications on any modern platform, no code changes required.
Explore Alchemy →
Foundry Studio takes a VM image in, walks you through configuration, and produces a container image out. No rewrite. No rebuild. Just a guided, repeatable path from VM to container.
*Based on published AWS EC2 pricing and IBM / 451 Research documented container vs VM compute efficiency studies. Conservative estimate. Actual savings depend on workload, utilisation, and target runtime.
A guided conversion pipeline designed for infrastructure teams who need to act on cloud migration business cases, not re-engineer applications from scratch.
Enterprises running server workloads on VMs are overspending on compute, storage, and licensing. Everyone knows containers are cheaper, but the migration path has been manual, risky, and slow.
Cloud migration business cases assume containerisation savings that teams struggle to deliver at pace. The gap between knowing you should containerise and actually doing it is where cost piles up, quarter after quarter.
VMs bill 24/7, whether used or not
Containers scale to zero when idle. On AWS, that utilisation gap compounds into tens or hundreds of thousands annually.
Broadcom licensing has redrawn the maths
Post-acquisition price increases have pushed VMware TCO to a point where containerisation is no longer optional for large estates.
Manual conversion takes months per workload
Writing Dockerfiles by hand, testing, debugging, and tuning resource limits stalls migration programmes before they scale.
Container skills are scarce and expensive
Hiring or retraining for Kubernetes expertise is a multi-year effort. Most infrastructure teams do not have the headcount to wait.
A guided, repeatable path from VM to container. Built for teams managing hundreds or thousands of server workloads.
Point Studio at a VM image from vSphere, AWS, Azure, or on-prem. No agents, no infrastructure changes required.
Studio calculates the cost delta between running the workload as a VM versus an equivalent container on AWS.
Answer a handful of configuration prompts. Studio applies best-practice defaults for resource limits, networking, and storage.
Studio produces a container image with recommended resource sizing. Deploy to ECS, EKS, or the runtime of your choice.
Three audiences with three different angles on the same problem. Foundry Studio speaks to each of them.
Foundry Studio gives you a guided, repeatable path to containerisation without rewriting applications or retraining teams. Point it at a VM image, walk through configuration, ship a container image.
Studio shows you the savings and gives your team a way to act on them, starting this quarter. Turn the business-case promise into a defensible number, then a deliverable.
Guided conversion, no specialist container skills required, clear cost justification built in. Studio gives your customers a concrete first step into modern AWS compute.
Built for enterprise estates. Designed for teams who need to ship savings this quarter, not next year.
Upload a VM image. Studio walks you through configuration prompts and produces a container image with best-practice defaults. No specialist container skills required.
See projected savings before you commit. Studio calculates the cost difference between running VMs and equivalent containers on AWS, based on published pricing.
Existing applications move as they are. No code changes, no re-architecture, no extended project timelines or vendor dependency.
Once the process is proven on one VM, apply it across the estate. Designed for teams managing hundreds or thousands of server workloads.
Use the VM-to-Container Cost Savings Calculator to see what containerisation could save you, based on your own inventory and AWS pricing. Bring the result to the board, or to us, to plan the next step.