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today's leftovers

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  • Chromebooks gain faff-free access to Windows file shares via Samba

    Google’s Chrome OS tanks crept a little further onto Microsoft’s manicured enterprise lawns with hints that Windows file-share support will arrive out-of-the-box in an upcoming version of Chrome OS.

    Those brave enough to be on the Canary version of Chrome 70 already have the functionality, assuming the preview software stays upright long enough to connect. The code uses the Samba project's libsmbclient to access the file shares.

    Veteran Windows blogger Paul Thurrott spotted a posting on Google+ by "Chromium Evangelist" François Beaufort indicating that the functionality was inbound. In the post, Beaufort linked to a Chromium code commit with the text: "Set NativeSmb flag to enabled by default – Network File Shares for ChromeOS will be available by default starting in M70."

  • [Gentoo] We mostly protect against script kiddie attacks

    The recent efforts on improving the security of different areas of Gentoo have brought some arguments. Some time ago one of the developers has considered whether he would withstand physical violence if an attacker would use it in order to compromise Gentoo. A few days later another developer has suggested that an attacker could pay Gentoo developers to compromise the distribution. Is this a real threat to Gentoo? Are we all doomed?

    Before I answer this question, let me make an important presumption. Gentoo is a community-driven open source project. As such, it has certain inherent weaknesses and there is no way around them without changing what Gentoo fundamentally is. Those weaknesses are common to all projects of the same nature.

  • Ben Hutchings: Debian LTS work, August 2018

    I was assigned 15 hours of work by Freexian's Debian LTS initiative and carried over 8 hours from July. I worked only 5 hours and therefore carried over 18 hours to September.

  • TeX Live contrib updates

    It is now more than a year that I took over tlcontrib from Taco and provide it at the TeX Live contrib repository. It does now serve old TeX Live 2017 as well as the current TeX Live 2018, and since last year the number of packages has increased from 52 to 70.

  • Core i5-7500-based signage player supports NVIDIA MXM graphics cards

    Ibase launched its “SI-614” signage player that runs Linux or Windows 10 on a Core i5-7500 processor with up to 16GB DDR4, a choice of NVIDIA MXM NV1050 graphics cards and a 128 GB 2.5-inch SSD storage device.

    Ibase Technology has announced the SI-614, its latest digital signage player based on 7th Gen Intel Core desktop processors and supporting NVIDIA MXM GeForce GTX 10 Series graphics. These cards provide 3X the performance of previous-generation graphics cards, according to the company. This is the sixth signage player Ibase has introduced this year, the most recent being its AMD Ryzen V1000 based system, the SI-324, released in late August.

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More in Tux Machines

KDE ISO Image Writer – Release Announcement

My GSoC project comes to an end and I am going to conclude this series of articles by announcing the release of a beta version of KDE ISO Image Writer. Read more Also: How I got a project in Labplot KDE

Linux Foundation: Automotive Grade Linux Announcement and Calling Surveillance Operations "Confidential Computing"

  • Automotive Grade Linux Announces New Instrument Cluster Expert Group and UCB 8.0 Code Release

    Automotive Grade Linux (AGL), an open source project developing a shared software platform for in-vehicle technology, today announced a new working group focused on Instrument Cluster solutions, as well as the latest code release of the AGL platform, the UCB 8.0. The AGL Instrument Cluster Expert Group (EG) is working to reduce the footprint of AGL and optimize the platform for use in lower performance processors and low-cost vehicles that do not require an entire infotainment software stack. Formed earlier this year, the group plans to release design specifications later this year with an initial code release in early 2020. “AGL is now supported by nine major automotive manufacturers, including the top three producers by worldwide volume, and is currently being used in production for a range of economy and luxury vehicles” said Dan Cauchy, Executive Director of Automotive Grade Linux at the Linux Foundation. “The new Instrument Cluster Expert Group, supported by several of these automakers, will expand the use cases for AGL by enabling the UCB platform to support solutions for lower-cost vehicles, including motorcycles.”

  • Shhh! Microsoft, Intel, Google and more sign up to the Confidential Computing Consortium

    The Linux Foundation has signed up the likes of Microsoft and Google for its Confidential Computing Consortium, a group with the laudable goal of securing sensitive data. The group – which also includes Alibaba, Arm, Baidu, IBM, Intel, Red Hat, Swisscom and Tencent – will be working on open-source technologies and standards to speed the adoption of confidential computing. The theory goes that while approaches to encrypting data at rest and in transit have supposedly been dealt with, assuming one ignores the depressingly relentless splurts of user information from careless vendors, keeping it safe while in use is quite a bit more challenging. Particularly as workloads spread to the cloud and IoT devices.

  • Tech giants come together to form cloud security watchdog

    Some of the world’s biggest technology companies are joining forces to improve the security of files in the cloud. This includes Google, IBM, Microsoft, Intel, and many others. The news first popped up on the Linux Foundation, where it was said that the Confidential Computing Consortium will work to bring industry standards and identify the proper tools to encrypt data used by apps, devices and online services. At the moment, cloud security solutions focus to protect data that’s either resting, or is in transit. However, when the data is being used is “the third and possibly most challenging step to providing a fully encrypted lifecycle for sensitive data.”

  • Tech firms join forces to boost cloud security

    Founding members of the group – which unites hardware suppliers, cloud providers, developers, open source experts and academics – include Alibaba, Arm, Baidu, Google Cloud, IBM, Intel, Microsoft, Red Hat, Swisscom and Tencent. [...] “The earliest work on technologies that have the ability to transform an industry is often done in collaboration across the industry and with open source technologies,” said Jim Zemlin, executive director at the Linux Foundation. “The Confidential Computing Consortium is a leading indicator of what is to come for security in computing and will help define and build open technologies to support this trust infrastructure for data in use.”

  • Google, Intel and Microsoft form data protection consortium
  • Intel Editorial: Intel Joins Industry Consortium to Accelerate Confidential Computing

    Leaders in information and infrastructure security are well versed in protecting data at-rest or in-flight through a variety of methods. However, data being actively processed in memory is another matter. Whether running on your own servers on-prem, in an edge deployment, or in the heart of a cloud service provider’s data center, this “in-use” data is almost always unencrypted and potentially vulnerable.

  • Confidential Computing: How Big Tech Companies Are Coming Together To Secure Data At All Levels

    Data today moves constantly from on-premises to public cloud and the edge, which is why it is quite challenging to protect. While there are standards available that aim to protect data when it is in rest and transit, standards related to protecting it when in use do not exist. Protecting data while in use is called confidential computing, which the Confidential Computing Consortium is aiming to create across the industry. The Confidential Computing Consortium, created under the Linux Foundation, will work to build up guidelines, systems and tools to ensure data is encrypted when it’s being used by applications, devices and online services. The consortium says that encrypting data when in use is “the third and possibly most challenging step to providing a fully encrypted lifecycle for sensitive data.” Members focused on the undertaking are Alibaba, ARM, Baidu, Google Cloud, IBM, Intel, Microsoft, Red Hat, Swisscom and Tencent.

  • IT giants join forces for full-system data security

    Apple is conspiciously missing from the consortium, despite using both Intel hardware and inhouse designed ARM-based processors. Of the first set of commitments, Intel will release its Software Guard Extensions (SGX) software development kit as open source through the CCC.

  • Google, Intel, and Microsoft partner to improve cloud security

    Some of the biggest names in tech have banded together in an effort to promote industry-wide security standards for protecting data in use.

  • Alibaba, Baidu, Google, Microsoft, Others Back Confidential Computing Consortium

    The Confidential Computing Consortium aims to help define and accelerate open-source technology that keeps data in use secure. Data typically gets encrypted by service providers, but not when it’s in use. This consortium will focus on encrypting and processing the data “in memory” to reduce the exposure of the data to the rest of the system. It aims to provide greater control and transparency for users.

  • Microsoft, Intel and others are doubling down on open source Linux security

    In other words, the operating system could be compromised by some kind of malware, but the data being used in a program would still be encrypted, and therefore safe from an attacker.

  • Microsoft, Intel, and Red Hat Back Confidential Computing

    The Linux Foundation’s latest project tackles confidential computing with a group of companies that reads like a who’s who of cloud providers, chipmakers, telecom operators, and other tech giants. Today at the Open Source Summit the Linux Foundation said it will form a new group called the Confidential Computing Consortium. Alibaba, Arm, Baidu, Google Cloud, IBM, Intel, Microsoft, Red Hat, Swisscom, and Tencent all committed to work on the project, which aims to accelerate the adoption of confidential computing.

IBM/Red Hat: OpenShift, CUDA, Jim Whitehurst, VMworld and RHELvolution

  • Red Hat Launches OpenShift Service Mesh to Accelerate Adoption of Microservices and Cloud-Native Applications

    Red Hat, Inc., the world's leading provider of open source solutions, today announced the general availability of Red Hat OpenShift Service Mesh to connect, observe and simplify service-to-service communication of Kubernetes applications on Red Hat OpenShift 4, the industry’s most comprehensive enterprise Kubernetes platform. Based on the Istio, Kiali and Jaeger projects and enhanced with Kubernetes Operators, OpenShift Service Mesh is designed to deliver a more efficient, end-to-end developer experience around microservices-based application architectures. This helps to free developer teams from the complex tasks of having to implement bespoke networking services for their applications and business logic.

  • CUDA 10.1 U2 Adds RHEL8 Support, Nsight Compute Tools For POWER

    NVIDIA last week quietly released a second update to CUDA 10.1. CUDA 10.1 Update 2 brings Red Hat Enterprise Linux 8.0 support, continued POWER architecture support improvements, and other additions.

  • IBM Stock and Jim Whitehurst’s Toughest Test

    What analysts say they want from IBM stock is Red Hat CEO Jim Whitehurst in current CEO Virginia Rometty’s chair. They want Red Hat running IBM. That wasn’t the promise when this deal was put together. The promise was that Red Hat would get autonomy from IBM, not that IBM would lose its autonomy to Red Hat. But Whitehurst’s concept of an Open Organization has excited analysts who don’t even know what it is. If IBM became an Open Organization, these analysts think, it would replace the top-down structure IBM has used for a century with an organic system in which employees and customers are part of the product design process. Instead of selling gear or even solutions, IBM would become a corporate change agent.

  • Going to VMWorld? Learn to help data scientists and application developers accelerate AI/ML initiatives

    IT experts from around the world are headed to VMworld 2019 in San Francisco to learn how they can leverage emerging technologies from VMware and ecosystem partners (e.g. Red Hat, NVIDIA, etc.) to help achieve the digital transformation for their organizations. Artificial Intelligence (AI)/Machine Learning (ML) is a very popular technology trend, with Red Hat OpenShift customers like HCA Healthcare, BMW, Emirates NBD, and several more are offering differentiated value to their customers. Investments are ramping up across many industries to develop intelligent digital services that help improve customer satisfaction, and gain competitive business advantages. Early deployment trends indicate AI/ML solution architectures are spanning across edge, data center, and public clouds.

  • RHELvolution 2: A brief history of Red Hat Enterprise Linux releases from RHEL 6 to today

    In the previous post, we looked at the history of Red Hat Enterprise Linux from pre-RHEL days through the rise of virtualization. In this one we'll take a look at RHEL's evolution from early days of public cloud to the release of RHEL 8 and beyond.

Programming: Jupyter, Python, Django and Git

  • Jupyter Notebook for Beginners: A Tutorial

    The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. This article will walk you through how to set up Jupyter Notebooks on your local machine and how to start using it to do data science projects. First, though: what is a “notebook”? A notebook integrates code and its output into a single document that combines visualizations, narrative text, mathematical equations, and other rich media. This intuitive workflow promotes iterative and rapid development, making notebooks an increasingly popular choice at the heart of contemporary data science, analysis, and increasingly science at large. Best of all, as part of the open source Project Jupyter, they are completely free. The Jupyter project is the successor to the earlier IPython Notebook, which was first published as a prototype in 2010. Although it is possible to use many different programming languages within Jupyter Notebooks, this article will focus on Python as it is the most common use case. (Among R users, R Studio tends to be a more popular choice).

  • Python for NLP: Creating Multi-Data-Type Classification Models with Keras

    This is the 18th article in my series of articles on Python for NLP. In my previous article, I explained how to create a deep learning-based movie sentiment analysis model using Python's Keras library. In that article, we saw how we can perform sentiment analysis of user reviews regarding different movies on IMDB. We used the text of the review the review to predict the sentiment. However, in text classification tasks, we can also make use of the non-textual information to classify the text. For instance, gender may have an impact on the sentiment of the review. Furthermore, nationalities may affect the public opinion about a particular movie. Therefore, this associated info, also known as meta data can also be used to improve accuracy of statistical model. In this article, we will build upon the concepts that we studied in the last two articles and will see how to create a text classification system that classifies user reviews regarding different business, into one of the three predefined categories i.e. "good", "bad", and "average". However, in addition to the text of the review, we will use the associated meta data of the review to perform classifcation. Since we have two different types of inputs i.e. textual input and numerical input, we need to create a multiple inputs model. We will be using Keras Functional API since it supports multiple inputs and multiple output models.

  • Django Template Fiddle Launched !!!!

    This is not an article. We just want to inform you that we have launched our new platform where you can experiment, play or fiddle with Django Templates.

  • Python Script 16: Generating word cloud image of a text using python

    Word cloud is an image composed of words used in a particular text or subject, in which the size of each word indicates its frequency or importance.

  • Python 3.7.3 : Using the inotify.
  • Git is eating the world

    The inception of Git (2005) is more or less the halfway point between the inception of Linux (1991) and today (2019). A lot has happened since. One thing is clear however: software is eating the world and Git is the fork with which it is being eaten. (Yes, pun intended).