The common assumption, and why it is wrong
Many organisations only automate a process once it runs constantly. We see it differently, for a concrete reason.
A procedure that happens twice a year is the most error-prone one there is. It needs knowledge nobody has to hand, it gets looked up again every time, and it gets done differently every time. That is where automation returns most: not in time saved, but in repeatability.
What it covers
Provisioning virtual machines and containers, the processes around operating them, and connections to the usual public clouds: Azure, AWS, Google Cloud, IBM Cloud.
That gives one place to manage what otherwise lives in several consoles, keeps cost in view, and turns the question of where a workload runs most cheaply into something you can answer rather than estimate.
On top of that comes the part users see: a self-service portal where common and uncommon requests sit as catalogue items. Whoever needs something fills in a form instead of writing a ticket for somebody else to work through by hand.
Approvals can be tied to parameters: what stays under a limit is provisioned directly, what exceeds it goes for approval.
What we build it with
With products that have earned their place in this field:
- Morpheus Data as a multi-tenant, multi-cloud management platform
- Microsoft MECM
- VCF Automation
- Ansible and Ansible Tower
Morpheus ships with more than 80 native integrations. Where those fall short, we go through the APIs that modern software offers anyway.
We are happy to show this in a live demo in our lab and work through the use cases you actually have.
What to watch
Automation encodes the processes you have. Where no rule exists, that shows up during the rollout and the rule has to be written first. Those decisions belong in the operating model and get taken there.


