When LinkedIn announced their Project Falco I knew exactly what one of my future Software Gone Wild podcasts would be: a chat with Russ White (Mr. CCDE, now network architect @ LinkedIn).
It took us a long while (and then the summer break intervened) but I finally got it published: Episode 62 is waiting for you.
Here are the outlines of an interesting ExpertExpress discussion:
Should they buy L2VPN and use MACsec on it or L3VPN and use GETVPN on it (considering they already have large DMVPN deployments in each region)?
Read more ...In this post, I’d like to describe how to use Vagrant with AWS, as well as provide a brief description of why this combination of technologies may make sense for some use cases. In some respects, this post is similar to my posts on using Docker Machine with OpenStack and using Vagrant with OpenStack in that combining Vagrant with AWS creates another clean “provider/consumer” model that makes it easy for users to consume infrastructure.
If you aren’t already familiar with Vagrant, I’d highly recommend first taking a look at my introduction to Vagrant, which provides an overview of the tool and how it’s used.
Naturally, you’ll need to first ensure that you have Vagrant installed. This is really well-documented already, so I won’t go over it here. Next, you’ll need to install the AWS provider for Vagrant, which you can handle using this command:
vagrant plugin install vagrant-aws
Once you’ve installed the vagrant-aws plugin, you’ll next need to install a box that Vagrant can use. Here, the use of Vagrant with AWS is a bit different than the use of Vagrant with a provider like VirtualBox or VMware Fusion/VMware Workstation. In those cases, the box Continue reading
With the $55 million deal, the wireless LAN market gets even smaller.
A topic I complain about with some regularity is my inability to keep up with incoming messages. I’m too busy creating something for someone else to consume to bother trying to keep up. That’s the way of things. If I successfully keep up with all the input, I never achieve useful output.
In this world of message misery, Slack is my friend. I find that Slack is better at managing input than most other forms of communication.
As Slack groups form (I’m in 8 now), it allows me to interact with people in a private or semi-private manner in a way that’s less intrusive than Google Hangouts or an iMessages chat room.
Slack groups are far better for me than e-mail. I have a passionate dislike for e-mail, although I’ve gotten better at managing it with process and tools. E-mail remains useful to me because it’s the lowest common denominator of communications. If nothing else works, then I can probably send the person an e-mail.
At the moment, Slack is the “least worst” way to manage communication for me.
Presto change-o, you run on KVM now.
So you missed VMworld 2016…You can still hear about the latest VMware NSX updates in an NSX-focused SociaLab!
Sign up for an NSX SociaLab in your area now.
NSX is the network virtualization platform for the Software-Defined Data Center (SDDC). Bring your own device to this interactive hands-on lab event where our engineering experts will guide you step-by-step through the technical features, functions and business use cases of NSX that were released at VMworld 2016 – all while you test drive the solution for yourself.
During the event, you’ll get to partake in multiple Hands-On Labs featuring logical switching, dynamic routing, distributed firewall, logical network services, all of which were featured at VMworld 2016, and more. You’ll walk away from our SociaLab knowing how to:
Now’s your chance to hear what you missed out on at VMworld to meet our technical experts, ask questions and collaborate with peers. Don’t miss this in-person opportunity to learn Continue reading
Last week we described the next stage of deep learning hardware developments in some detail, focusing on a few specific architectures that capture what the rapidly-evolving field of machine learning algorithms require. This week we are focusing in on a trend that is moving faster than the devices can keep up with; the codes and application areas that are set to make this market spin in 2017.
It was with reserved skepticism that we listened, not even one year ago, to dramatic predictions about the future growth of the deep learning market—numbers that climbed into the billions despite the fact …
The Next Wave of Deep Learning Applications was written by Nicole Hemsoth at The Next Platform.
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