CLOUD MANAGEMENT

One way to ask for cloud, whichever cloud answers.

Ask for a machine, a database, a storage area or a container environment. Get one, inside the rules an administrator set. On whichever providers your company runs. AWS, Microsoft Azure and Kubernetes are connected today, and more follow.

AWS, connected todayMicrosoft Azure, connected todayKubernetes, connected today
Machines, databases and storage
Containers on Kubernetes
One cost view across providers

THE CHALLENGE

Every provider governs only its own corner, and asks your people to learn its own console.

Each provider added this way brings another console to learn, another approval path and another bill to read.

A console per provider

Resources are managed in a different place, with different words, for every provider.

Different operations

Each provider names and runs the same thing its own way.

Repeated manual work

Technical teams spend their days on routine requests instead of on the platform.

HOW THE CLOUDS LINE UP

The same three steps, whichever provider answers.

01 / PUBLIC CLOUD

Every cloud you run, treated alike

The screens, the approvals and the cost view never change with the cloud.

A team moves a workload to the other cloud. The screen, the approval and the cost view do not change.

02 / CONTAINERS

Containers, on Kubernetes

A person asks for a container environment and gets one, inside a limit the administrator set.

A data science team asks for a container environment for a two week trial. It stops itself at the end.

03 / EXTENSIBILITY

The list keeps growing

Anantyx.ai keeps one set of business concepts and translates them per provider, so a new provider does not change your screens.

Your company signs with a new cloud on Friday. On Monday your people ask for machines exactly as they did last week.

ANANTYX AI & CLOUD COMMAND

Keep your platforms. Govern across them.

One control plane for Cloud and AI, independent of every provider it governs.