By George Crump
Leaving VMware forces IT to touch every workload, every network, and every storage volume in the data center. That disruption is also an opportunity. For a few months, the data center’s operations are open for redesign, and Day 2 operations- the daily work of provisioning, patching, monitoring, and recovering- deserve the most attention. The opportunity matters most to midsize enterprises, where an IT team of three to five people runs 4 to 20 servers across all sites, and everyone wears several hats. Automation is the most direct way to shrink that Day 2 workload, so how programmable a VMware alternative is should be a core part of the evaluation.
There is a catch. The automation has to be simple to build. If designing a script takes too long or requires too much specialized knowledge, IT will keep doing the work by hand. It is the classic case of lacking the time today to build the tools that save time tomorrow.
One Platform, One API
The first requirement for midsize automation is a single, unified platform for all infrastructure operations, including virtualization, storage, networking, data protection, and operations monitoring.
Few data centers have that. Most run separate products from separate vendors for the hypervisor, storage, networking, and backup. Each product has its own API, authentication model, and object names. A stretched-thin IT team now has two problems. It has to find time in the present to save time in the future, and it has to learn four or five different APIs to do it. A script that provisions a new application environment calls the hypervisor to create the VM, the array to carve the volume, the virtual network to create the segment, and the backup product to protect it. Any one of those vendors can change its API in the next upgrade and break the script.
A unified infrastructure operating system solves the problem by establishing a single API for all of these functions. To do that, the infrastructure OS integrates the hypervisor, storage, and network services, along with data protection and resiliency, into one codebase. It also has to be API-first, so every interface function is available programmatically. Unifying the components behind one API-first design flattens the learning curve. The team learns one authentication method, one object model, and one set of conventions, and the script that builds an environment becomes a single sequence of calls against one platform.
A Broad Automation Ecosystem
The second requirement is broad support for the automation tools IT already knows. A midsize team rarely has a dedicated DevOps engineer, so the platform should meet the team where its skills are instead of forcing a new toolchain. These tools overlap, but each has an ideal use case.
| Tool | Where it fits for a midsize team |
| Packer | Building golden VM images, so every new Windows or Linux server starts from the same patched, hardened template |
| Terraform | Declaring VMs, networks and users as code, then standing up a new branch site or rebuilding a test environment the same way every time |
| Ansible | Configuring what runs inside those VMs and orchestrating recurring operations such as snapshots and replication across many systems |
| Python | Custom workflows and bulk operations, like a nightly VM sprawl report or provisioning a batch of environments from a spreadsheet |
| PowerShell | Windows-centric teams that already script Active Directory and want infrastructure in the same language |
| REST API and CLI | Connecting infrastructure to ticketing and monitoring systems, and quick one-off tasks from the command line |
A typical chain shows how they fit together. Packer builds the image, Terraform deploys the VMs and networks from it, Ansible configures the applications, and a monitoring tool such as Prometheus watches the result. A robust selection of automation tools gives the midsize IT professional access to the right tool every time, and a single underlying API means every tool sees the same platform.
AI-Friendly Infrastructure
The third requirement is newer. The focus here is using AI to make the IT team more productive and make their jobs easier, rather than running private AI as a service for the organization’s users.
Beyond an API-first design, the infrastructure software needs to provide the AI assistant with a set of commands it can run, not just documentation to read. An assistant that reads documentation answers questions. An assistant with commands, delivered through a standard such as the Model Context Protocol (MCP), can inspect the infrastructure and, with the administrator’s permission, operate it.
The midsize IT team can use AI in three ways. First, it writes the Terraform, Ansible, Python, or PowerShell scripts described above. IT describes the outcome in plain language and reviews the code instead of writing it from scratch, which removes most of the “no time to automate” problem. The second is checking and monitoring the environment’s health, reading logs, and tracing a fault from symptom to root cause. The third is helping operate the environment by taking over mundane or multi-step tasks. Finding every VM that hasn’t needed high-performance flash I/O in the past month and, with the administrator’s approval, moving those VMs to the hard disk tier is a good example. The administrator decides what the assistant sees, what it runs on its own, and what waits for sign-off.
Three Questions for Every VMware Alternative
Ask three questions about automation during the evaluation. Does the platform offer a single API for virtualization, storage, networking, and data protection? Does it support the tools the team already uses, from Terraform and Ansible to Python and PowerShell? Does it give an AI assistant real commands, with controls over what the assistant runs?
VergeOS answers all three. It integrates virtualization, storage, networking, and data protection into a single codebase with one API. It supports Terraform, Packer and Ansible, plus Python through pyvergeos and PowerShell through PSVergeOS, so midsize data center automation starts with the tools the team already knows. Since June 2026, it also includes the vrg CLI, an MCP server, and agent skills, so an assistant such as Claude Code or a locally run model operates the environment under the administrator’s approval.
Aaron Richman and Dave Vincent of VergeIO compare the leading VMware alternatives on the Day 2 problems a team of three to five faces in the live webinar VMware Alternatives for Mid-Market IT: Who Solves Day 2? on Wednesday, November 4, 2026. Register for the webinar here.
