Language Selection

English French German Italian Portuguese Spanish

Red Hat News, Scientific Linux, and Fedora 29 Dropping GCC From Their Default Build Root

Filed under
Red Hat
  • Red Hat OpenStack platform adopted by Fujitsu

    Red Hat recently announced that Fujitsu has adopted Red Hat OpenStack Platform as an Infrastructure-as-a-Service (IaaS) component of Fujitsu Cloud Service for OSS, its global hybrid cloud service offering.

    As a backbone for an open hybrid cloud, Fujitsu Cloud Service for OSS is designed to help enterprises more quickly develop cloud-native and traditional applications and services in an environment built from innovative, more reliable, and more secure open technologies.

    This announcement shows the continued, long-standing collaboration between Red Hat and Fujitsu to offer hybrid cloud solutions based on open source.

  • Fujitsu Adopts Red Hat OpenStack Platform for Fujitsu Cloud Service for OSS
  • Entando Announces OEM Agreement with Red Hat on Modern Applications

    Entando, a leader in open source Digital Experience Platforms, today announced that Red Hat has agreed to include access to a set of Entando’s open source low-code tools as part of Red Hat’s newly launched Red Hat Process Automation Manager. Entando has optimized the tools to run effectively on Red Hat Process Automation Manager. Together, these technologies offer customers expanded next-generation business process automation capabilities native to Red Hat OpenShift Container Platform and a user experience (UX) designed to help them create cloud-native applications faster.

  • STT Connect builds webscale private cloud infrastructure on Red Hat

    To build its cloud on a flexible, supported open source platform, STT Connect partnered with Red Hat to deploy Red Hat OpenStack Platform, Red Hat Ansible Tower, and other enterprise Red Hat software.

    These solutions helped the company create an agile and efficient — yet secure — webscale cloud infrastructure. STT Connect became the first cloud company in Singapore to achieve the highest level Multi-Tier Cloud Security (MTCS) certification with an OpenStack private cloud.

  • The Final Build of Scientific Linux 6.10 Legacy Branch Released

    Scientific Linux has announced that the 6.10 release will be the final build of their legacy branch based on Red Hat 6.10. It will only receive security updates and major bug fixes and will be supported until November 2020.

    Fermi National Accelerator Laboratory (Fermilab) and European Organization for Nuclear Research (CERN) co-develop Scientific Linux with the aim of creating a stable operating system that is supplied with packages and applications that support scientific research. They also list using “the free exchange of ideas, designs, and implementations to prepare a computing platform for the next generation of scientific computing” as one of their goals.

  • ISVs in APAC Showcase Increased Red Hat OpenShift Adoption Across Verticals
  • Should You Buy Red Hat, Inc. (RHT) or Marsh & McLennan Companies, Inc. (MMC)?
  • Red Hat, Inc. (RHT) P/E ratio is noted at 62.01
  • Is this stock Risky for You?: Red Hat, Inc. (RHT)
  • Analyst Buzz: Red Hat, Inc. (NYSE:RHT)
  • Red Hat: Ready For Multiple Expansion
  • Fedora 29 Dropping GCC From Their Default Build Root Has Been Causing A Heated Debate

    One of the surprisingly controversial changes being implemented for Fedora 29 is dropping GCC and GCC-C++ from the default BuildRoot for assembling Fedora packages with Koji and Mock.

    Up to now it's always just been implied that GCC (including the GCC C++ compiler) is there by default with every build-root. But these days with more packages being written in languages like Go, Rust, Python, Node.js, and other modern languages, the proportion of C/C++ applications is decreasing. As such, the GCC C/C++ support is no longer being implied with the default build environments in Koji/Mock, which in turn should help package build times for non-C/C++ packages as they will no longer need to pull in the gcc/gcc-c++ packages and in turn a cleaner buildroot environment too.

More in Tux Machines

Programming: mmap. Python and More

  • Making the Most of your Memory with mmap
    Sometimes it seems that we have nearly infinite memory resources, especially compared to the tiny 48K RAM of yesteryear’s 8-bit computers. But today’s complex applications can soak up megabytes before you know it. While it would be great if developers planned their memory management for all applications, thinking through a memory management strategy is crucial for applications with especially RAM intensive features like image/video processing, massive databases, and machine learning. How do you plan a memory management strategy? It’s very dependent on your application and its requirements, but a good start is to work with your operating system instead of against it. That’s where memory mapping comes in. mmap can make your application’s performance better while also improving its memory profile by letting you leverage the same virtual memory paging machinery that the OS itself relies on. Smart use of the memory mapping API (Qt, UNIX, Windows) allows you to transparently handle massive data sets, automatically paging them out of memory as needed – and it’s much better than you’re likely to manage with a roll-your-own memory management scheme. Here’s a real-life use case of how we used mmap to optimize RAM use in QiTissue, a medical image application. This application loads, merges, manipulates, and displays highly detailed microscope images that are up to gigabytes in size. It needs to be efficient or risks running out of memory even on desktops loaded with RAM.
  • Moving Kolla images to Python 3
    Python… To use 2.7 or to go for 3.x? To “be compatible” or to “use fancy new features”. Next year Python 2 gets finally unsupported upstream.
  • PyCharm 2019.1 RC 2
    New in PyCharm 2019.1: completely redesigned Jupyter Notebooks, improved HTML & CSS quick documentation, custom themes, and more. Get the release candidate from our website
  • 13 Project Ideas for Intermediate Python Developers
    Learning the basics of Python is a wonderful experience. But the euphoria of just learning can be replaced by the hunger for hands-on projects. It’s normal to want to build projects, hence the need for project ideas. The problem though is that some projects are either too simple for an intermediate Python developer or too hard. This article will suggest projects you can work on as an intermediate Python developer. These project ideas will provide the appropriate level of challenge for you.
  • Speed: Default value vs checking for None
  • Announcing SLE 15 SP1 RC 1 and SES 6 Beta 11!
  • Coding in Python 19 - More fun with the OS Module
  • Coding in Python 20 - Subprocess
  • Coding in Python 21 - Handling Exceptions
  • Starting A Django Project
  • Microsoft buffs up its open-source halo to fine sheen with PostgreSQL GUI in Azure Data Studio [Ed: These are all proprietary software falsely marketed using "free bait" a.k.a. "open core" or 'open' plugins. It's also surveillance.]

DebConf20 Conference to Be Hosted in Haifa, Israel, for Debian GNU/Linux 11

A port city built in tiers, Haifa is found in the northern area of Israel, extending from the Mediterranean sea till the north slope of the Carmel Mountain National Park. Haifa it's the third-largest city in Israel after Jerusalem and Tel Aviv, and it is close to the biblical city Nazareth where Jesus studied and prayed. In 2020, the Debian Project will celebrate 12 years since the first DebConf Debian developer conference, so they decided to choose Israel instead of Lisbon, Portugal, for next year's DebConf20 event despite the extensive discussions between the DebConf team and committee due to Israel's political system. Read more

Ubuntu Leftovers

  • Debug ACPI DSDT and SSDT with ACPICA Utilities
    Using acpidbg on Ubuntu 18.04 x64 can be quite handy; however, the Linux kernel with ACPI_DEBUGGER is not always available, such as on Ubuntu for ARM. In such cases, acpica also provides a set of utilities, named acpica-tools, for ACPI debugging.
  • NVIDIA Jetson Nano is a $99 Computer Built for AI, Powered by Ubuntu
    Sold as a complete compute solution, the Jetson Nano Developer Kit wants to let embedded designers, researchers, and DIY makers harness the power of AI, all at an affordable price. A NVIDIA’s JetPack SDK provides a ‘complete desktop Linux environment based on Ubuntu 18.04 LTS’, replete with accelerated graphics, NVIDIA CUDA toolkit support, and more. NVIDIA say developers will find it “easy” to install leading open-source Machine Learning (ML) frameworks like TensorFlow, Caffe and Keras. Frameworks for computer vision and robotics development like OpenCV and ROS are also available via the SDK. The JetPack 4.2 SDK [shipped on the microSD card] provides a complete desktop Linux environment for Jetson Nano based on Ubuntu 18.04 with accelerated graphics, support for NVIDIA CUDA Toolkit 10.0, and libraries such as cuDNN 7.3 and TensorRT 5,” Nvidia says of the nimble Nano dev kit. But how powerful is it?
  • Vertical rhythm and spacing in Vanilla Framework 2.0
    Vanilla, the CSS framework behind Canonical’s suite of products and services, has undergone significant changes over the last 12 months. We’ve introduced vertical rhythm, a new type scale, consistent white space in and between elements, and adjustable information density. 
  • Ubuntu 19 04 Desktop Tour of New Features

Security: Updates, Microsoft, Mirai, Reproducible Builds and PuTTY