TensorFlow in Kubernetes in 88 MB

By

-

May 16, 2017

TensorFlow is a beast. It deals with machine learning algorithms, it uses Bazel to be built, it uses gRPC, etc., but let’s be honest, you are dying to play with machine learning. Come on, you know you want to! Especially in combination with Docker and Kubernetes. At Bitnami, we love apps, so we wanted to!

TensorFlow + Kubernetes + Docker + Machine learning = Awesomeness.

You just need to add bi-modal in there and you will hit buzzword bingo.

Jokes aside, TensorFlow is an open source library for machine learning. You can train data models and use those models to predict or infer information. I did not dig into TensorFlow itself, but I hear it is using some advanced neural networks techniques. NN have been around for a while, but due to computational complexity, they were not extremely useful passed a couple of layers and a couple dozen neurons (20 years ago at least 🙂 ). Once you have trained a network with some data, you can use that network (aka model) to predict results for data not used in the training data set. As a side note, I am pretty sure we will soon see a marketplace of TF models.

Stephen Wolfram: A New Kind of Data Science

By

The New Stack

-

May 16, 2017

When it comes to scientific computing, few names are more well known than Stephen Wolfram. He was the creator of the Mathematica, a program that researchers have been using for decades to aid in their computations. Later Wolfram expanded Mathematica into a full multi-paradigm programming language, called Wolfram Language. The company also packaged many of the Mathematica formulas, and a lot of outside data, into a cloud-based service and API. So at this year’s SXSW Interactive, we spoke with Wolfram about how to use this new cloud service to add computational intelligence into your own programs.

DevOps: The Key to IT Infrastructure Agility

By

McKinsey & Company

-

May 16, 2017

These days, digital grabs a lot of headlines that trumpet how it’s radically changing customer behaviors. This typically means that IT departments have to deliver new features faster even in the face of more demanding requirements for availability (24/7) and security.

DevOps promises to do exactly that, by fostering a high degree of collaboration across the full IT value chain (from business, over development, operations and IT infrastructure). But there’s a problem.

While many software-development and operations teams have made steps toward DevOps methods, most enterprise IT-infrastructure organizations still work much as they did in the first decade of this century: They use a “plan-build-run” operating model organized by siloed infrastructure components , such as network, storage, and computing.

Important Open Source Ruling Confirms Enforceability of Dual-Licensing and Breach of GPL for Failing to Distribute Source Code

By

Linux.com Editorial Staff

-

May 16, 2017

A recent federal district court decision denied a motion to dismiss a complaint brought by Artifex Software Inc. (“Artifex”) for breach of contract and copyright infringement claims against Defendant Hancom, Inc. based on breach of an open source software license. The software, referred to as Ghostscript, was dual-licensed under the GPL license and a commercial license.

This case highlights the need to understand and comply with the terms of open source licenses. … It also highlights the validity of certain dual-licensing open source models and the need to understand when which of the options apply to your usage. If your company does not have an open source policy or has questions on these issues, it should seek advice.

Enlightenment Foundation Libraries – Case Studies of Optimizing for Wearable Devices – Cedric Bail

By

The Linux Foundation

-

May 15, 2017

Cedric Bail, a long-time contributor to the Enlightenment project who works on EFL integration with Tizen at Samsung Open Source Group, discussed some of the lessons learned in optimizing wearable apps for low battery, memory, and CPU usage.

Keynote: Redefining the Tech that Powers Travel – Rashesh Jethi, Amadeus

By

The Linux Foundation

-

May 15, 2017

https://www.youtube.com/watch?v=jV0kAt64yy0?list=PLbzoR-pLrL6p01ZHHvEeSozpGeVFkFBQZ

Rashesh Jethi, SVP Engineering at Amadeus, describes the company’s journey to build their platform as a service layer.

Linux You Can Drive My Car – Walt Miner, Linux Foundation

By

The Linux Foundation

-

May 15, 2017

https://www.youtube.com/watch?v=Ub8bNo9yM_4?list=PLbzoR-pLrL6pSlkQDW7RpnNLuxPq6WVUR

At the recent Embedded Linux Conference, Walt Miner provided an AGL update and summarized AGL’s Yocto Project based Unified Code Base (UCB) for automotive infotainment.

Surviving in the Wilderness: Integrity Protection and System Update – Patrick Ohly, Intel GmbH

By

The Linux Foundation

-

May 15, 2017

https://www.youtube.com/watch?v=N8V0W0p3YBU?list=PLbzoR-pLrL6pSlkQDW7RpnNLuxPq6WVUR

Patrick Ohly, a software engineer at Intel, discusses integrity protection schemes and system update mechanisms at the recent Embedded Linux Conference.

Keynote: Disruptive Collaboration – The Next Generation of Network Software – John Donovan

By

The Linux Foundation

-

May 15, 2017

https://www.youtube.com/watch?v=l-QjVrVe9Lo?list=PLbzoR-pLrL6p01ZHHvEeSozpGeVFkFBQZ

Watch the video of this Open Networking Summit keynote to get more details about AT&T’s approach to using software and hardware to evolve their network.

Containers Are Not Lightweight VMs

By

The Linux Foundation

-

May 15, 2017

This series provides a preview of the new, self-paced Containers Fundamentals course from The Linux Foundation, which is designed for those who are new to container technologies. The course covers container building blocks, container runtimes, container storage and networking, Dockerfiles, Docker APIs, and more. In the first excerpt, we defined what containers are, and in this installment, we’ll explain a bit further. You can also sign up to access all the free sample chapter videos now.

Note that containers are not lightweight VMs. Both of these tools provide isolation and run applications, but the underlying technologies are completely different. The process of managing them is also different.

VMs are created on top of a hypervisor, which is installed on the host operating system. Containers directly run on the host operating system, without any guest OS of its own. The host operating system provides isolation and does resource allocation to individual containers.

Once you become familiar with containers and would like to deploy them on production, you might ask “Where should I deploy my containers — on VMs, bare metal, in the cloud?” From the container’s perspective, it does not matter as it can run anywhere. But in reality, many variables affect the decision, such as cost, performance, security, current skill set, and so on.

Find out more in these sample course videos below, taught by Neependra Khare (@neependra), Founder and Principal Consultant at CloudYuga, former Red Hat engineer, Docker Captain, and author of the Docker Cookbook:

Want to learn more? Access all the free sample chapter videos now!