Much like with storage, the world of container networking is still a relatively emergent space. That being said, the landscape is not completely devoid of tools. Jon Langemak wrote up a look at the Container Networking interface, going over some basic configuration and setup. Somewhat confusingly, this can work with Docker’s Container Network Model, but not out of the box.
At Tech Field Day, we heard from three different components of Dell EMC’s not inconsiderable family. The first was an update on VxRail, their hyperconverged infrastructure offering. I knew this was going to be a different type of presentation, because in the overview, they were upfront that they’d be going over what’s been working for the merged division, and where they were falling short. Most companies will be honest when asked about their shortcomings, but not every one will put it directly into their slide deck. It’s a frankness that I found refreshing.
Have about $9,000 to spend on the new Xeon E7-8894 v4? Want to know what else you can get for the money? We’ve got you covered.
Hyperconverged infrastructure has changed the way a lot of organizations view virtualization. It brings a certain kind of simplicity to how it can be managed, provisioned, and deployed. Yet, this often only applied to organization at scale. The initial wave of hyperconverged approaches still didn’t change complexity of operation, instead focusing on deployment and provisioning. We are now starting to see a wave of HCI solutions that address that gap. Maxta offers a vision of HCI that gives you flexibility on hardware, simplicity of operation, and scalability. Hyperconvergence on the hardware you want? I’m interested!
In this iteration of the Gestalt IT Server Newsletter:
– Scale Computing rethinks HCI from the ground up
– Nvidia keeps growing in the data center
– Alastair Cooke reviews how to make an app fit into a container
Plus Diablo Technologies terabyte memory solution, and a look at a compact hyperconverged home lab!
I’m never going to have a home lab to test out the latest and greatest enterprise gear. If I had ever seriously considered it, it was put to bed when I saw Joshua Stenhouse’s setup. To say it’s impressive would be an understatement.
Nvidia’s data center division made $296 million in revenue for the quarter. In the exorbitant world of technology, this might not seem all that notable as a raw figure. But compared to Q4 2015, its a 205% increase. This isn’t just a one-time blip either, in Q3 they saw year-on-year growth of 193%. If anything this is accelerating.
The rise of the virtual assistant points to the important element that’s been added to voice recognition, artificial intelligence. This is really what can turn it from a minor convenience, into something that can shape lives and businesses. That’s what Next IT is banking on.
With Big Data being all the rage in IT, it’s no wonder there are a lot of call for data scientists within organizations. The problem is, what exactly does this entail? It’s an emergent enough space that no clear cut certification are guaranteed for any expected hire. Gina Rosenthal looks at a sample of recent postings for data scientist positions on LinkedIn. She tries to determine just what exactly organization want when they put out these postings.