Riverbed Launches Service Provider Unit and New Product Line
Riverbed will help service providers roll out services and monitor them.
Riverbed will help service providers roll out services and monitor them.
There is an old joke that in the post-apocalyptic world that comes about because of plague or nuclear war, only two things will be left alive: cockroaches and Keith Richards, the guitarist for the Rolling Stones. As it hails from New York City, you can understand why Cockroach Labs, the upstart software company that is cloning Google’s Spanner distributed relational database, chose that particular bug to epitomize a system that will stay alive no matter what. But, they could have just as easily called it RichardsDB.
When discussing Google’s cloud implementation of Spanner, which launched in beta earlier this …
Google Spanner Inspires CockroachDB To Outrun It was written by Timothy Prickett Morgan at The Next Platform.
In our last post we introduced ourselves to CNI (if you haven’t read that yet, I suggest you start there) as we worked through a simple example of connecting a network namespace to a bridge. CNI managed both the creation of the bridge as well as connecting the namespace to the bridge using a VETH pair. In this post we’ll explore how to do this same thing but with a container created by Docker. As you’ll see, the process is largely the same. Let’s jump right in.
This post assumes that you followed the steps in the first post (Understanding CNI) and have a ‘cni’ directory (~/cni) that contains the CNI binaries. If you don’t have that – head back to the first post and follow the steps to download the pre-compiled CNI binaries. It also assumes that you have a default Docker installation. In my case, Im using Docker version 1.12.
The first thing we need to do is to create a Docker container. To do that we’ll run this command…
user@ubuntu-2:~/cni$ sudo docker run --name cnitest --net=none -d jonlangemak/web_server_1 835583cdf382520283c709b5a5ee866b9dccf4861672b95eccbc7b7688109b56 user@ubuntu-2:~/cni$
Notice that when we ran the command we told Docker to use a network of ‘none’. Continue reading
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The post On the ‘net: Net Neutrality Explained appeared first on 'net work.
When it comes to solving deep learning cluster and software stack problems at scale, few companies are riding the bleeding edge like Chinese search giant, Baidu. As we have detailed in the past, the company’s Silicon Valley AI Lab (SVAIL) has some unique hardware and framework implementations that put AI to the test at scale. As it turns out, scalability of the models they specialize in (beginning with speech recognition) is turning out to be one of the great challenges ahead on all fronts—hardware, compiler/runtime, and framework alike.
As we have described across multiple use cases, at Baidu and elsewhere …
Baidu Targets Deep Learning Scalability Challenges was written by Nicole Hemsoth at The Next Platform.
Gabriele Di Piazza, VP of solutions, Telco NFV Group at VMware, shares his predictions for what will be generating the most buzz at MWC.
The idea of using cloud brains to simplify on-premises management holds a lot of promise for the future.