In the Network Automation 101 webinar and Building Network Automation Solutions online course I described one of the biggest challenges the networking engineers are facing today: moving from thinking about boxes and configuring individual devices to thinking about infrastructure and services, and changing data models which result in changed device configurations.
The $1B question is obviously: and how do we get from here to there?
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The vendor reported $542 million in revenue, a 28 percent year-over-year increase.
Artificial Intelligence, machine and deep learning have to be among the most popular tech-words of the past few years, and I was hoping that I wouldn’t get swept away by it. But when I heard a panel on this topic at our customer event this month on the state of AI networks, I found it incredibly fascinating and it piqued my curiosity! Let me start with a note of disclaimer for readers who are expecting a deep tutorial from me. There is a vast amount of research behind models and algorithms on this topic that I will not even attempt to cover. Instead I will try to share some thoughts on the practical relevance of this promising field.
Artificial Intelligence, machine and deep learning have to be among the most popular tech-words of the past few years, and I was hoping that I wouldn’t get swept away by it. But when I heard a panel on this topic at our customer event this month on the state of AI networks, I found it incredibly fascinating and it piqued my curiosity! Let me start with a note of disclaimer for readers who are expecting a deep tutorial from me. There is a vast amount of research behind models and algorithms on this topic that I will not even attempt to cover. Instead I will try to share some thoughts on the practical relevance of this promising field.
On today’s episode of “The Interview” with The Next Platform we talk about the use of petascale supercomputers for training deep learning algorithms. More specifically, how this happening in Astronomy to enable real-time analysis of LIGO detector data.
We are joined by Daniel George, a researcher in the Gravity Group at the National Center for Supercomputing Applications, or NCSA. His team garnered a great deal of attention at the annual supercomputing conference in November with work blending traditional HPC simulation data and deep learning.
George and his team have shown that deep learning with convolutional neural networks can provide many …
Deep Learning on HPC Systems for Astronomy was written by Nicole Hemsoth at The Next Platform.
The operator is still targeting 2019 for 5G.
Splunk will integrate the security technology with its big data platform.
From June 12th – 15th, San Francisco will welcome 6,000+ developers, sysadmins, architects, VP of Apps and other IT leaders to get hands-on with the latest innovations in the container ecosystem at DockerCon 2018. Today, we are excited to share a first look at the DockerCon Agenda. We’ve brought back some of your favorite from past DockerCons and are also thrilled to welcome many first time DockerCon speakers to the stage. Here is a first look at some of our favorites sessions:
Use case sessions highlight how companies are using Docker to modernize their infrastructure and build, manage and secure distributed applications. These sessions are heavy on business value, ROI and production implementation advice, and learnings.
Using Docker sessions are introductory sessions for Docker users, dev and ops alike. Filled with practical advice, learnings, and insight, these sessions will Continue reading
TPx's current VeloCloud-based platform is not equipped to grow with the provider.
Digital transformation demands more of everything: speed, throughput, agility and scalability. That’s why organizations are rethinking traditional layer 2 switched data center architectures and moving towards intelligent layer 3 routed network designs. With a layer 3 architecture, your data center can use proven routing protocols to simplify troubleshooting, facilitate upgrades, scale efficiently and converge traffic.
But what about the applications, storage appliances and multi-tenant environments that still require traditional layer 2 connectivity? Legacy protocols that enable layer 2 traffic to run over a layer 3 routed infrastructure have significant limitations that become serious obstacles when the data center must scale, accommodate multiple vendors’ systems or support multi-tenancy. Fortunately, there’s a scalable, simple, non-proprietary solution. Enter EVPN.
Cumulus’ unique Virtual eXtensible Local Area Network (VXLAN) Ethernet Virtual Private Network (EVPN) solution offers unmatched interoperability and efficiency. By adding VXLAN distributed routing, Cumulus EVPN undoes all of the complications of layer 2 connectivity and frees you from reliance on proprietary controllers. Looking for proof that EVPN delivers on that promise? We’ve got plenty of evidence, so here’s four major advantages of utilizing EVPN to meet the demands of digital transformation.
With Cumulus EVPN, you can quickly and Continue reading
Yet another protocol episode over at the Network Collective. This time, Nick, Jordan, Eyvonne and I talk about BGP security.
