Open-source News

Q&A with Canonical's Alex Chalkias about Kubernetes 1.19 Enterprise Support and KubeCon  InfoQ.com

Amiga Quick File System Makes Minor Comeback In New Linux Kernel  Editorials 360

Developing AWS Glue ETL jobs locally using a container  idk.dev

CrowdStrike Expands Support for AWS Workloads and Container Deployments  StreetInsider.com

Nemo: Rock Linux on your Chromebook with this handy file manager  Chrome Unboxed

8 Best Linux Graphical Environment (GUI) to install on Ubuntu 20.04/18.04  H2S Media

Global K-12 Mobile Computing Shipments Operating system Market Analysis 2020: Windows, Mac OS, Linux, iOS, Chrome OS, Android  Red & Black Student Newspaper

When looking at the performance of Zink's OpenGL over Vulkan implementation just about one year ago the performance had a lot to be desired. But since then they have patches bringing it all the way to OpenGL 4.6 compared to the OpenGL 2.1 days and there has also been a lot of work on the performance. The performance at least for select operations is now turning out better than even the developers were expecting...

With Intel Gen11 graphics and newer supporting Adaptive-Sync / Variable Refresh Rate for minimizing tearing and stuttering, their open-source developers have now added the necessary bits to the generic xf86-video-modesetting X.Org driver for supporting the VRR functionality...

Hikari, the FreeBSD-focused Wayland compositor that also works on Linux systems, is out with a new feature release...

Hikari 2.2 Wayland Compositor Adds Support For WayVNC, Other Features  Phoronix

Hikari 2.2 Wayland Compositor Adds Support For WayVNC, Other Features  Phoronix

Overview

There are many business reasons to use open source software. Many of today’s most significant business breakthroughs, including big data, machine learning, cloud computing, Internet of Things, and streaming analytics, sprang from open source software innovations. Open source software often comes into an organization as the backbone of many essential devices, programs, platforms, and tools such as robotics, sensors, the Internet of Things (IoT), automotive telematics, and autonomous driving, edge computing, and big data computing. Open source software code is working on many smartphones, laptops, servers, databases, and cloud infrastructures and services. Developers build most applications by leveraging frameworks like Node. js or pulling in libraries that have been tested and proven in many production use cases. To use almost any of these things is to use open source software in one form or another, and often in combination.

By using open source software, companies also avoid building everything from the ground up, saving time, money, and effort while also rendering more innovation from the investment. Open source software is generally more secure than using the commercial proprietary counterparts too. That is due in large part to the collaborative nature of open source software projects. As Linux creator Linus Torvalds once explained, “given enough eyeballs, all bugs are shallow.” That holds so long as there are “enough eyeballs,” which, given open source software’s adoption rate, may be challenging to have across all projects. Drawbacks do exist, as no software is perfect, not even open source software. However, for most organizations, the good far outweighs the bad. The codebase’s open nature also means it’s easier to report and fix software versus alternative models.

While open source software offers many reliable and provable business advantages, sometimes those advantages remain obscure to those who have not looked deeply into the topic, including many high-level decision-makers. This paper, published by the European Chapter of the TODO Group, aims to provide a balanced and quick overview of the business pros and cons of using open source software.

To download Why Open Source Matters to Your Enterprise click on the button below Download Whitepaper

The post TODO Group: Why Open Source matters to your enterprise appeared first on The Linux Foundation.

Arm's New Cortex-R82 Chip Extends the Edge, Bringing Compute to Data  Data Center Knowledge

GStreamer 1.18 is now available for this widely-used, cross-platform multimedia framework...

Resuming the Linux Laptop Lifestyle  ChicagoNow

Part 2: A few easy steps

“Boards that are digitally savvy outperform (their non-savvy counterparts),” shared Aliza Knox in a recent online general membership meeting of the Management Association of the Philippines (MAP). Knox is Non Executive Director, Grant Thornton International Ltd.

Numbers don’t lie.

Ansible is a popular automation tool used by sysadmins and developers to keep their computer systems in prime condition. As is often the case with extensible frameworks, Ansible has limited use on its own, with its real power dwelling in its many modules. Ansible modules are, in a way, what commands are to a Linux computer. They provide solutions to specific problems, and one common task when maintaining computers is keeping all the ones you use updated and consistent.

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As enterprises increase their use of artificial intelligence (AI), machine learning (ML), and deep learning (DL), a critical question arises: How can they scale and industrialize ML development? These conversations often focus on the ML model; however, this is only one step along the way to a complete solution. To achieve in-production application and scale, model development must include a repeatable process that accounts for the critical activities that precede and follow development, including getting the model into a public-facing deployment.

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As the movement to migrate enterprise data to the cloud gathers steam, there is an active debate on the best approach to securing and protecting it. But before we talk about the details of the various access control frameworks, let us first understand the breadth of challenges a company faces when it begins migrating its data to the cloud. First and foremost is the wide array of storage and analysis or compute services offered by cloud and third-party providers.

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