I was focused on network automation this week, starting with a 2-day workshop and continuing with an overview of real-life automation wins. Let’s end the week with another automation story: automated data center fabric deployment demonstrated by Dinesh Dutt during his part of Network Automation Use Cases webinar.
You’ll need at least free ipSpace.net subscription to watch the video.
Tomorrow begins IETF 101 in London, United Kingdom, and it’s the third time that an IETF has been held in the country. Following on the heels of our Rough Guide to IETF 101 where we go in-depth about specific topics of interest, the ISOC Internet Technology Team is again highlighting the latest IPv6, DNSSEC, Securing BGP, TLS and IoT related developments as the week progresses.
Below are the sessions that we’ll be following in the coming week. Note this post was written in advance so please check the official IETF 101 agenda for any updates, room changes, or final details.
Monday, 18 March 2018
Tuesday, 19 March 2018
The artificial intelligence revolution is quickly changing every industry, and modern data centers must be equipped to capitalize on these extraordinary new capabilities. Hewlett Packard Enterprise (HPE) and Nvidia are partnering to bring best-of-breed AI solutions to every customer, offering AI-integrated systems, services, and support capabilities to help all organizations seamlessly optimize their AI foundation, deliver differentiated outcomes, and gain competitive advantage.
High performance computing has become key to solving many of the world’s grand challenges in the realms of science, industry, and engineering. However, traditional CPUs are increasingly failing to deliver the performance gains they used to, and the …
Getting AI Leverage With GPU-Optimized Systems was written by Timothy Prickett Morgan at The Next Platform.
So far, there's not a single female cybersecurity expert keynoting at the upcoming RSA Conference.
The companies claim the PoC was the first to show two-way control.
IBM partnered with Cloudflare to offer cloud-based security services.
Two weeks ago we shared how the upcoming release of Docker Enterprise Edition (Docker EE) is able to secure the software supply chain for Kubernetes; just as it does for Docker Swarm through a combination of scanning for vulnerabilities and implementing image promotion policies. In this blog, we’ll take a closer look at another part of this solution – Docker Content Trust and image signing.
When combined with granular Role Based Access Controls [RBAC] and the secure clustering features of Docker EE, organizations get a secure container platform solution that is ready for the enterprise.
As discussed in Part 1 of this blog post, organizations typically have a “supply chain” for how applications progress from a developer’s laptop to production, whether that is on-premises or in the cloud. For larger organizations, the team that handles QA and testing is not always the same team that develops the applications. There may also be a separate team that handles staging and pre-production before an application is pushed to production. Since an application can pass through several teams before it gets deployed, it’s important for organizations to be able to validate the source of the application.
It harks back to the age-old preference for one controller over another.
In part one of our series on reaching computational balance, we described how computational complexity is increasing logarithmically. Unfortunately, data and storage follows an identical trend.
The challenge of balancing compute and data at scale remains constant. Because providers and consumers don’t have access to “the crystal ball of demand prediction”, the appropriate computational response to vast, unpredictable amounts of highly variable complex data becomes unintentionally unplanned.
We must address computational balance in a world barraged by vast and unplanned data.
Before starting any discussion of data balance, it is important to first remind ourselves of scale. Small …
Practical Computational Balance: Contending with Unplanned Data was written by James Cuff at The Next Platform.
Peter Welcher examines the complexity associated with using the OSPF routing protocol and situations where EIGRP works better.
Peter Welcher examines the complexity associated with using the OSPF routing protocol and situations where EIGRP works better.
Should I build it or buy it? It’s an age old question often used in reference to furniture, websites and risky home remodeling projects (DIY is fun, I swear!). Same goes for your engineering team — should I hire and build out an engineering staff or should I outsource an engineering team?
According to a 2016 study done by Deloitte, 72% of organizations with over $1 billion in revenue are outsourcing their IT functions. However, only 31% of them plan to increase this spending in the following year. Could this allude to investments for inhouse staff? Maybe. In the following paragraphs, we will discuss the pros and cons of creating an inhouse vs. outsourcing engineering staff.
Let’s start with some simple definitions.
Building an engineering team: We’re talking about hiring people. When I say building, I mean recruiting talent, hiring them full time, offering benefits and keeping them engaged with exciting projects. I also mean hiring experts in the field who are lifelong learners and are excited about innovation. In time, they give back to the company through their developed expertise, loyalty and institutional knowledge. Those are your people.
Buying an engineering Continue reading
On this episode of the history of networking, we talk to Tony Li about the origin and history of the Cisco Silicon Switching Engine.
On today’s episode of “The Interview” with The Next Platform, we discuss the role of higher level interfaces to common machine learning and deep learning frameworks, including Caffe.
Despite the existence of multiple deep learning frameworks, there is a lack of comprehensible and easy-to-use high-level tools for the design, training, and testing of deep neural networks (DNNs) according to this episode’s guest, Soren Klemm, one of the creators of Python based Barista, which is an open-source graphical high-level interface for the Caffe framework.
While Caffe is one of the most popular frameworks for training DNNs, editing prototxt files in …
Using Python to Snake Closer to Simplified Deep Learning was written by Nicole Hemsoth at The Next Platform.
Our newest data center is now live in Tel Aviv, Israel! This expands our global network even further to span 135 cities across 68 countries.
Although Israel will only be turning 70 this year, it has a history so rich we’ll leave it to the textbooks. Despite its small size, and young age, Israel is home to one of the largest tech scenes, often referred to as Start-up Nation.
Haifa’s Matam technology park houses a few tech giants’ offices including Intel, Apple, Elbit, Google, IBM, Microsoft, Yahoo, Philips and more. Meanwhile, Tel Aviv serves a true hipster capital, with a high concentration of great coffee shops to serve its many startup employees and founders.
Some brag-worthy Israeli inventions include flash drives, Waze and cherry tomatoes. This is due to Israel’s excellent education. Israel is home of the top universities in the world, bringing Israel to be one of the top five nations in scientific publication per capita output. Israel also has one of the highest PhD and MD degrees per capita, and among of the highest nobel laureates per capita as well. Israeli mothers, your nagging has paid off.
CC BY-SA 4.0 image by Rita Kozlov Continue reading
The open source efforts will operate as Project Tortuga.