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SUSE

openSUSE 11.4 Is Now Truly, Finally Dead

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SUSE

The official support for openSUSE 11.4 officially ended back in November 2012, but the openSUSE ecosystem has things that sets it apart. One of those things is called Evergreen support. Basically, after a version of OpenSUSE reaches End of Life, the community can extend the life of the system by integrating patches and fixes long after the developers have finished with it.

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Interview with openSUSE chairman Richard Brown

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Interviews
SUSE

I’ve been using Linux since around 2003. I think my first distribution was Slackware, followed by Debian, but it wasn’t very long before I discovered SUSE and since then I’ve been hooked. I started contributing with the great ‘opening up’ of the distribution that came with the launch of the openSUSE Project in 2005. In terms of ‘upstream contributions’, I’ve contributed to GNOME, ownCloud, Spacewalk, Cobbler, and a few other projects over the years, but normally through my involvement with openSUSE. I guess you could say I’m a little ‘Geeko-centric’ that way.

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openSUSE 13.2 Beta 1 vs. Fedora Linux Benchmarks

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Graphics/Benchmarks
Red Hat
SUSE

With this week's openSUSE 13.2 Beta release I decided to run some benchmarks to see how the performance compares to that of Fedora Linux.

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OpenSUSE 13.2 Beta

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Server
SUSE

Several Thousand People Use The New Rolling-Release OpenSUSE

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SUSE

OpenSUSE Factory only had around 2,000 users at the end of June but by the end of August was at nearly 6,000. Meanwhile, there's also just under 6,000 users of openSUSE Tumbleweed. The openSUSE community appears happy with these numbers and they're still working on making openSUSE Factory a better platform for users and developers.

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SUSE's Flavio Castelli on Docker's Rise Among Linux Distros

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Interviews
SUSE

Docker has only gained traction since its launch a little over a year ago as more companies join the community's efforts on a regular basis. On July 30, the first official Docker build for openSUSE was released, making this distribution the latest among many to join the fray. I connected with Flavio Castelli, a senior software engineer at SUSE, who works extensively on SUSE Linux Enterprise and has played a major role in bringing official Docker support to openSUSE. In this interview, he discuses the importance of bringing Docker to each Linux distribution, the future of Docker on SUSE Linux Enterprise, and other interesting developments in the Docker ecosystem.

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European Space Agency are using SUSE Linux

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SUSE
Sci/Tech

Actually SUSE Linux began deployment at ESA in 2012 and has been continuing until now, the distro is used by 450 teams in the European Space Operations Centre at ESA, this includes being used by Mission Control Systems who are responsible for simulation and control of aircraft and satellites outside the atmosphere and further still.

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Docker comes to openSUSE

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OSS
SUSE

Docker is more popular in enterprise data centers and clouds now than ice-cream on a hot summer day in a day-care center. So, it comes as no surprise that openSUSE, SUSE's community Linux distribution, has adopted Docker as well.

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Factory-fresh delivery: Get your OpenSUSE fix daily

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SUSE

Until now, as with most new versions of software, new code for a new version of OpenSUSE had been bottled up for group testing at a beta or milestone stage.

In the OpenSUSE world, this milestone stage had taken place in something called the "Factory".

The milestone approach is now being abandoned.

The goal is to get more users and contributors involved in development and testing phase, speeding up fixes and improving quality.

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GSoC: Open Source Event Manager Organizer Dashboard

Filed under
Development
Google
SUSE

In the past 4 months during this years Google Summer of Code (GSoC), a global program that offers student developers stipends to write code for open source software projects, Christian Bruckmayer collaborated with other students and mentors to code a dashboard for the Open Source Event Manager (OSEM). In this series of three posts Christian will tell you about his project and what he has learned from this experience.

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  • Apache Graduates Another Big Data Project to Top Level
    For the past year, we've taken note of the many projects that the Apache Software Foundation has been elevating to Top-Level Status. The organization incubates more than 350 open source projects and initiatives, and has squarely turned its focus to Big Data and developer-focused tools in recent months. As Apache moves Big Data projects to Top-Level Status, they gain valuable community support. Only days ago, the foundation announced that Apache Kudu has graduated from the Apache Incubator to become a Top-Level Project (TLP). Kudu is an open source columnar storage engine built for the Apache Hadoop ecosystem designed to enable flexible, high-performance analytic pipelines. And now, Apache Twill has graduated as well. Twill is an abstraction over Apache Hadoop YARN that reduces the complexity of developing distributed Hadoop applications, allowing developers to focus more on their application logic.
  • Spark 2.0 takes an all-in-one approach to big data
    Apache Spark, the in-memory processing system that's fast become a centerpiece of modern big data frameworks, has officially released its long-awaited version 2.0. Aside from some major usability and performance improvements, Spark 2.0's mission is to become a total solution for streaming and real-time data. This comes as a number of other projects -- including others from the Apache Foundation -- provide their own ways to boost real-time and in-memory processing.
  • Why Uber Engineering Switched from Postgres to MySQL
    The early architecture of Uber consisted of a monolithic backend application written in Python that used Postgres for data persistence. Since that time, the architecture of Uber has changed significantly, to a model of microservices and new data platforms. Specifically, in many of the cases where we previously used Postgres, we now use Schemaless, a novel database sharding layer built on top of MySQL. In this article, we’ll explore some of the drawbacks we found with Postgres and explain the decision to build Schemaless and other backend services on top of MySQL.
  • GNU Hyperbole 6.0.1 for Emacs 24.4 to 25 is released
    GNU Hyperbole (pronounced Ga-new Hi-per-bo-lee), or just Hyperbole, is an amazing programmable hypertextual information management system implemented as a GNU Emacs package. This is the first public release in 2016. Hyperbole has been greatly expanded and modernized for use with the latest Emacs 25 releases; it supports GNU Emacs 24.4 or above. It contains an extensive set of improvements that can greatly boost your day-to-day productivity with Emacs and your ability to manage information stored across many different machines on the internet. People who get used to Hyperbole find it helps them so much that they prefer never to use Emacs without it.
  • Belgium mulls reuse of banking mobile eID app
    The Belgium government wants to reuse ‘Belgian Mobile ID’ a smartphone app for electronic identification, developed by banks and telecom providers in the country. The eID app could be used for eGovernment services, and the federal IT service agency, Fedict, is working on the app’s integration.
  • Water resilience that flows: Open source technologies keep an eye on the water flow
    Communities around the world are familiar with the devastation brought on by floods and droughts. Scientists are concerned that, in light of global climate change, these events will only become more frequent and intense. Water variability, at its worst, can threaten the lives and well-beings of countless people. Sadly, humans cannot control the weather to protect themselves. But according to Silja Hund, a researcher at the University of British Columbia, communities can build resilience to water resource stress. Hund studies the occurrence and behavior of water. In particular, she studies rivers and streams. These have features (like water volume) that can change quickly. According to Hund, it is essential for communities to understand local water systems. Knowledge of water resources is helpful in developing effective water strategies. And one of the best ways to understand dynamic water bodies like rivers is to collect lots of data.