Interop ITX: 9 Bonus Events
Don't miss all the fun stuff happening at this year's conference in Las Vegas.
Digital India threatened by Internet shutdowns
The government of Narendra Modi has set out ambitious goals for the digitalization of India, through a program called Digital India. It is hard to see this program get fully realized when state or local governments keep turning the Internet off.
Since January 2016, we have tracked that state governments have switched off the Net more than 34 times across India.
Sixty-two incidents of Internet shutdowns across 12 Indian states have been recorded by SFLC.in from 2012 till date.
In the country's northeast, in Nagaland, there was no Internet service at all from January 30 until February 19 .2017
In Kashmir, there have been 27 shutdowns since 2012, in a region market by long-standing conflicts.
Mishi Choudhary
containerd joins the Cloud Native Computing Foundation
Today, we’re excited to announce that containerd – Docker’s core container runtime – has been accepted by the Technical Oversight Committee (TOC) as an incubating project in the Cloud Native Computing Foundation (CNCF). containerd’s acceptance into the CNCF alongside projects such as Kubernetes, gRPC and Prometheus comes three months after Docker, with support from the five largest cloud providers, announced its intent to contribute the project to a neutral foundation in the first quarter of this year.
In the process of spinning containerd out of Docker and contributing it to CNCF there are a few changes that come along with it. For starters, containerd now has a logo; see below. In addition, we have a new @containerd twitter handle. In the next few days, we’ll be moving the containerd GitHub repository to a separate GitHub organization. Similarly, the containerd slack channel will be moved to separate slack team which will soon available at containerd.slack.com
containerd has been extracted from Docker’s container platform and includes methods for transferring container images, container execution and supervision and low-level local storage, across both Linux and Windows. containerd is an essential upstream component of the Docker platform used by millions of end users that also provides the industry with an open, Continue reading
Railroads and Cars: a Fairy Tale
Imagine a Flatworld in which railways are the main means of transportation. They were using horses and pigeons in the past, and experimenting with underwater airplanes, but railways won because they were cheaper than anything else (for whatever reason, price always wins over quality or convenience in that world).
As always, there were multiple railroad tracks and trains manufacturers, and everyone tried to use all sorts of interesting tricks to force the customers to buy tracks and trains from the same vendor. Different track gauges and heptagonal wheels that worked best with grooved rails were the usual tricks.
Read more ...Tell Policy Makers to Think Twice Before Blocking Content or Flipping the Internet Kill Switch
RightsCon 2017 is kicking off today (29-31 March, Brussels) so we wanted to give you an update and also ask for your help amplifying our message.
Restrictions to Internet access are on the rise globally. Data shows that between 2015 and 2016, the number of Internet shutdowns bumped up from 15 to 56 worldwide. Not only is this causing collateral damage to the Internet, but we’re also putting the society and economy at risk. If we don’t do anything, we are at serious risk of eroding the trust that people have in the Internet - to the point of no return.
Nicolas Seidler
Kubernetes and VMware NSX
Attending CloudNativeCon/KubeCon this week in Berlin (29th – 30th of March)? Please visit us at our booth #G1 and click for more details about what’s happening at the show!
IT is undergoing a huge transformation.
Organizations are moving away from static infrastructure to full automation on every aspect of IT. This major shift is not happening overnight. It is an evolutionary process, and people decide to evolve their IT at different speeds based on organizational needs.
When I decided to join the VMware Networking & Security Business Unit four years ago, the key deciding factor for me was that I felt that networking is adopting automation far too slowly. Do not get me wrong – we always automated network configurations in some form. I still remember vividly my time as a networking consultant at a major German airport. Back at the beginning of the new millennium, I used a combination of Perl, Telnet and Expect to migrate the configuration of a huge core network from a single-tenant configuration to a multi-tenant MPLS/VPN. Nevertheless, at some point, network operators stopped evolving, and even today largely, we continue to automate by manually setting up new configuration into Continue reading
Easily Finding the Latest CoreOS AMI ID
It seems as if finding the right Amazon Machine Image (AMI) ID for the workload you’d like to deploy can sometimes be a bit of a challenge. Each combination of region and AMI produces a unique ID, so you have to look up the AMI for the particular region where you’re going to deploy the workload. This in and of itself wouldn’t be so bad, but then you have to wade through multiple versions of the same AMI in each region. Fortunately, if you’re using CoreOS Container Linux on AWS, there’s an easy way to find the right AMI ID. Here’s how it works.
CoreOS publishes a JSON feed of the latest AMI for each of their channels (stable, beta, and alpha). You can find links to these JSON feeds on this page. This is powerful for 2 reasons:
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Because it’s available via HTTP, you can use
curlto retrieve it anytime you need it. -
Because it’s in JSON, you can use
jq(see my post onjqfor more information) to easily parse it to find the information you need. (Not super comfortable with JSON? Check out my introductory post.)
Putting these two reasons together, you end up Continue reading
Scaling Deep Learning on an 18,000 GPU Supercomputer
It is one thing to scale a neural network on a single GPU or even a single system with four or eight GPUs. But it is another thing entirely to push it across thousands of nodes. Most centers doing deep learning have relatively small GPU clusters for training and certainly nothing on the order of the Titan supercomputer at Oak Ridge National Laboratory.
The emphasis on machine learning scalability has often been focused on node counts in the past for single-model runs. This is useful for some applications, but as neural networks become more integrated into existing workflows, including those …
Scaling Deep Learning on an 18,000 GPU Supercomputer was written by Nicole Hemsoth at The Next Platform.