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Red Hat: Jcat, OpenShift, Ceph and CCSPs

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Red Hat
  • Initial release of Jcat

    Today I released the first official tarball of Jcat, version 0.1.0. I’ve started the process to get the package into Fedora as it will almost certainly be a hard requirement in the next major version of fwupd.

    Since I announced Jcat a few weeks ago, I’ve had a lot of positive feedback about the general concept and, surprisingly, even one hardware vendors suggested they might start self-signing their firmware before uploading to the LVFS (which is great!). More LVFS announcements coming soon I promise…

  • Jcat 0.1 Released As Alternative To Microsoft Catalog Files

    Jcat is an open-source alternative to Microsoft Catalog files and was started as a format for handling arbitrary signatures for external files. The initial focus is on the Fwupd/LVFS use-case in ensuring BIOS/firmware files are not tampered with prior to flashing on the local system. Jcat is a JSON-based file format with Gzip compression and contains a set of detached signatures.

  • Red Hat OpenShift 4 and Red Hat Virtualization: Together at Last

    OpenShift 4 was launched not quite a year ago at Red Hat Summit 2019. One of the more significant announcements was the ability for the installer to deploy an OpenShift cluster using full-stack automation. This means that the administrator only needs to provide credentials to a supported Infrastructure-as-a-Service, such as AWS, and the installer would provision all of the resources needed, e.g. virtual machines, storage, networks, and integrating them all together as well.

    Over time, the full-stack automation experience has expanded to include Azure, Google Compute Platform, and Red Hat Openstack, allowing customers to deploy OpenShift clusters across different clouds and even on-premises with the same fully automated experience.

    For organizations who need enterprise virtualization, but not the API-enabled, quota enforced consumption of infrastructure provided by Red Hat OpenStack, Red Hat Virtualization (RHV) provides a robust and trusted platform to consolidate workloads and provide the resiliency, availability, and manageability of a traditional hypervisor.

  • Ceph Gets Fit And Finish For Enterprise Storage

    Ceph, the open source object storage born from a doctoral dissertation in 2005, has been aimed principally at highly scalable workloads found in HPC environments and, later, with hyperscalers who did not want to create their own storage anymore.

    For years now, Ceph has given organizations object, block, and file-based storage in distributed and unified cluster systems well into the tens of petabytes and into the exabyte levels, storage that takes high levels of expertise to deploy, run, and manage. Building and managing these massive object storage clusters takes the kind of skills that HPC, hyperscaler, cloud builder, and other service providers tend to have. But large enterprises and many Tier 2 and Tier 3 service providers do not have such skills. And the workloads they need to run – either themselves or on behalf of clients – is driving demand for object storage among more mainstream enterprises, who want to leverage artificial intelligence, analytics, containers, and similar advanced technologies but who do not have the expertise to manage complex Ceph environments.

    Red Hat is looking to fix that. The company, a unit within IBM, has recently rolled out Red Hat Ceph Storage 4, with the goal of bringing petabyte-scale object storage to cloud-native development and data analytics workloads that are becoming more commonplace among enterprises and can take advantage of cloud-level economics. It also will help Red Hat broaden the markets for Ceph.

  • Tech Data, Ingram place bets on hybrid cloud with Red Hat

    Open source cloud services may be the next big seller for the local channel after Red Hat appointed two new distributors and pumped more resources into ANZ.

    Tech Data and Ingram Micro have been appointed as distributors for the Red Hat Certified Cloud and Service Provider (CCSP) program and will work with Red Hat to qualify, recruit and on-board partners as CCSPs.

    Red Hat said the new local push comes in response to increased interest in managed, multi-hybrid cloud solutions in Australia and New Zealand.

More in Tux Machines

MindSpore Source Code

  • Huawei open sources MindSpore: claims to provide 'all-scenario AI computing framework'

    Huawei made a series of important announcements at the Huawei Developer Conference 2020 (Cloud) – HDC.Cloud, on March 28, notably that MindSpore, the all-scenario AI computing framework, goes open source on Gitee, and that ModelArts Pro, the first-ever AI app development suite for enterprises, goes live on HUAWEI CLOUD. Huawei also showcased some of the significant applications for Huawei's Atlas AI computing platform, on the cloud, edge, and devices. In doing so, Huawei has delivered the full-stack, all-scenario AI solutions for developers that it had first unveiled at HUAWEI CONNECT 2018.

  • Huawei open-sources AI framework MindSpore to rival Google’s TensorFlow

    China’s Huawei Technologies Co. Ltd. today said it has open-sourced a framework for artificial intelligence-based application development called MindSpore. First revealed last year, MindSpore is an alternative to well known AI frameworks such as Google LLC’s TensorFlow and Facebook Inc.’s PyTorch. It can scale across devices, cloud and edge environments, Huawei said in a statement. The code is now available to download on GitHub and Gitee.

  • Huawei open-sources TensorFlow competitor MindSpore
  • Huawei Makes TensorFlow Competitor MindSpore Open Source

    Huawei has made its MindSpore AI framework open source. The Chinese tech giant is competing with the well-known AI frameworks from Google and Facebook, with a large number of advantages that ‘Ai algorithms as-a-code’ can provide. In a statement, the Chinese tech giant states that its MindSpore AI framework is suitable for developing AI applications. The AI ​​framework – co-developed with universities in Beijing and the United Kingdom and with a Turkish start-up – can easily be rolled out in various environments, such as on devices, within (multi) cloud and edge environments. Huawei launched the new AI framework last year in conjunction with the Ascend 910 processor. The AI ​​chip provides 256 teraflops of computing power on FP16, and that at a power consumption of 350 watts. With MindSpore and the Ascend 910 in addition to that new chip, the company has the most important components in the hands of a full AI stack.

Debian: RcppSimdJson, Opinionated IkiWiki and More

  • Dirk Eddelbuettel: RcppSimdJson 0.0.4: Even Faster Upstream!

    A new (upstream) simdjson release was announced by Daniel Lemire earlier this week, and my Twitter mentions have been running red-hot ever since as he was kind enough to tag me. Do look at that blog post, there is some impressive work in there. We wrapped up the (still very simple) rcppsimdjson around it last night and shipped it this morning. RcppSimdJson wraps the fantastic and genuinely impressive simdjson library by Daniel Lemire. Via some very clever algorithmic engineering to obtain largely branch-free code, coupled with modern C++ and newer compiler instructions, it results in parsing gigabytes of JSON parsed per second which is quite mindboggling. For illustration, I highly recommend the video of the recent talk by Daniel Lemire at QCon (which was also voted best talk). The best-case performance is ‘faster than CPU speed’ as use of parallel SIMD instructions and careful branch avoidance can lead to less than one cpu cycle use per byte parsed.

  • Jonathan Dowland: Opinionated IkiWiki

    For various personal projects and things, past and present (including my personal site) I use IkiWiki, which (by modern standards) is a bit of a pain to set up and maintain. For that reason I find it hard to recommend to people. It would be nice to fire up a snapshot of an existing IkiWiki instance to test what the outcome of some changes might be. That's cumbersome enough at the moment that I haven't bothered to do it more than once. Separately, some months ago I did a routine upgrade of Debian for the web server running this site, and my IkiWiki installation broke for the first time in ten years. I've never had issues like this before.

  • Thorsten Alteholz: My Debian Activities in March 2020

    This month I accepted 156 packages and rejected 26. The overall number of packages that got accepted was 203.

Python Programming

  • Python 2.7.8 : Using python scripts with Revit Dynamo.

    Dynamo is a visual programming tool that extends the power of the Revit by providing access to Revit API (Application Programming Interface. Dynamo works with node, each node have inputs and outputs and performs a specific task. This is a short tutorial about how you can use your python skills with Revit and Dynamo software.

  • Getting started with Django middleware

    Django comes with a lot of useful features. One of them is middleware. In this post I'll give a short explanation how middleware works and how to start writing your own.

  • Talk Python to Me: #258 Thriving in a remote developer environment

    If you are listening to this episode when it came out, April 4th, 2020, there's a good chance you are listening at home, or on a walk. But it's probably not while commuting to an office as much of the world is practicing social distancing and working from home. Maybe this is a new experience, brought upon quickly by the global lockdowns, or maybe it's something you've been doing for awhile. Either way, being effective while working remotely, away from the office, is an increasingly valuable skill that most of us in the tech industry have to quickly embrace. On this episode, I'll exchange stories about working from home with Jayson Phillips. He's been writing code and managing a team from his home office for years and has brought a ton of great tips to share with us all.

  • How TO GET STARTED WITH Machine Learning
  • Weekly Python StackOverflow Report: (ccxxii) stackoverflow python report

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