VMware can’t stop pasting its Kubernetes-focused Tanzu platform across its various cloud offerings, with the latest move injecting the multicloud management tool into its wildly popular Amazon Web Services (AWS) cloud platform with plans to further that integration into similar offerings on Oracle and Microsoft Azure.

The new Tanzu support for VMware Cloud on AWS allows customers to tap into the Tanzu platform to extend their workloads into the world’s largest public cloud. This move is significant as both VMware’s Cloud on AWS and Tanzu have been significant interest drivers for the vendor.

VMware CEO Pat Gelsinger recently noted that the VMware Cloud on AWS software-as-a-service (SaaS) platform witnessed its second consecutive quarter of triple-digit growth year over year. However, the company has yet to put an actual financial or customer count to that growth. The product was initially launched in 2017, and allows customers to run the same VMware software stack on premises or in the AWS public cloud.

Outside of AWS, VMware said it also has preview Tanzu support now for its Oracle Cloud VMware product and that it’s working with Microsoft on a preview version for Azure.

The Oracle partnership dates back to last year when VMware said it was pairing its VMware Cloud Foundation with Oracle Cloud Infrastructure. This allows customers to migrate VMware workloads between their on-premises data centers and Oracle’s public cloud using consistent infrastructure and tools. Oracle will also provide technical support for Oracle software running in VMware environments on-premises data centers and Oracle-certified cloud environments.

The Microsoft pairing is slightly older but has seen some recent updates.

VMware has similar deals with IBM and Google, though there was no mention yet on moving Tanzu to those platforms.

Tanzu Is Big Business for VMware

The Tanzu expansion is also the latest move by VMware to extend that relatively new platform across its operations.

VMware earlier this month more deeply integrated Tanzu into a number of its vSphere platforms. The new vSphere with Tanzu move was targeted at enterprises that already have a vSphere structure in place and want more control over their Kubernetes environment.

It also launched different Tanzu levels targeted at enterprises looking for different levels of support. This included immediate availability of a “basic” model that runs as an add-on to vSphere and allows users to run Kubernetes as part of their vSphere environments; and a “standard” model that supports the ability to run and manage Kubernetes across multiple clouds from a single distribution.

VMware is also planning “advanced” and “enterprise” Tanzu editions to launch later this year. Craig McLuckie, VP of research and development for VMware’s Modern Apps business unit, described the former as focused on “DevOps-based delivery of workloads” that can be used to populate Kubernetes with real-world applications that embrace that DevOps model, and the latter as creating a “superhighway” between developers, the integrated developer environment (IDE) where they write their code, and the production environment.

Gelsinger recently noted that the U.S. Space Force had recently made an “eight-figure commitment to the Tanzu platform.”

VMware claims that it has 75 “independent software vendors” as part of its Tanzu community, with “hundreds of customers” now using Tanzu products to run more than 1 million containers in production.

A recent Forrester Research report tagged VMware’s Tanzu platform as a “strong performer” among multicloud container development offerings. This was just below market “leaders” Red Hat, Google, and Rancher Labs. VMware’s offering was cited for its reliability, hypervisor-based security features, developer experience, multicloud deployment options, day 2 lifecycle operations, and that Tanzu was a great option for existing VMware customers. However, it was dinged for slow innovation when integrating “multiple point products,” an unclear product roadmap, complex pricing, and the need for better serverless support.