IT Is Hard, Our Users Don't Care, And They Shouldn't Have To.

Anyone who's worked in the trenches of IT for even only a few months quickly realizes that - no matter what our professors may have told us - our jobs often demand close attention to details, seat-of-the-pants estimation of required resources (usually we just grab the maximum), and navigating legacy architectural decisions made by folks who've since moved on.

Ultimately, our user community doesn't give a darn about how hard our jobs can be; they just want their applications to run fast, their daily jobs to finish inside of 24 hours, and their systems to be always available. And as much as it might hurt my fragile ego to admit, they shouldn't have to, according to the folks from Morpheus here at #CFD20.

Brad Parks, Morpheus's Chief Product / GTM Manager, listed out several challenges to successful enterprise computing management, and reminded us these difficulties are just naturally part of our jobs ... but it doesn't have to be. Their soon-to-be-GA MVM application and its related hyper-converged tools provide a consistent, rule-based access management (RBAC) approach to managing complex enterprise environments.

Another key differentiator of their toolset: system administrators, DevSecOps folks, application developers, and other key IT workers the ability to select from specific services via a set of unified rules to orchestrate and deploy the needed infrastructure, but only within their defined roles. This is a crucial leveler for organizations who might've struggled with keeping track of all their VM instances, storage, networking, and other resources.

The beauty of this approach? IT becomes a lot less difficult because an IT organization doesn't necessarily require a set of specialists in, say, every public cloud who know exactly how to orchestrate creation of compute, storage, and networking components within those environments. With the recent surprising developments of VMWare licensing changes after their BroadCom acquisition, I can see this toolset would offer visibility into options to control those specific costs.

With the proliferation of AI-specific workloads that often demand expensive GPUs for any hope of completing their jobs' execution within days instead of weeks, this toolset also offers tighter control of those resources as well as a way to monitor those GPU's utilization. (Remember, GPUs are hungry and demand to be fed extremely large data streams to provide optimal cost/benefit ratios.)

As an answer to these challenges, Morpheus demonstrated their new MVM hyper-converged management solution to set up a simple clustered environment with just a few mouse clicks. It appears to be a most interesting toolset to prepare and manage a set of complex computing resources prior to deployment of DevOps capabilities within specific RBAC limitations.