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Server: Microsoft, Singapore, Red Hat and IBM, Intel, MapR and Taloflow Instance Manager

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  • Party pooper Microsoft pulls plug on Party Cluster [Ed: Azure is dying, partly...]

    Microsoft has additionally lobbed the Service Fabric technology at Linux and will also cheerfully allow the creation of Service Fabric clusters on computers running the open source OS (although only Ubuntu and Red Hat Enterprise Linux are officially supported at present) as well as its own, so there are several options to keep the party going.

  • Singapore embraces AI with open source libraries and talent development

    THE economy of Singapore thrives on the back of the nation’s efficient services industry, especially since the industry makes up 72% of the country’s gross domestic product and 74% of national employment. With the benefits of automation embraced widely, Singapore has identified artificial intelligence (AI) as one of the frontier technologies to power its digital economy.

  • Red Hat CodeReady Workspaces Enables Full Kubernetes-Native Development

    Red Hat’s CodeReady Workplaces aims to save time and improve projects by enabling OpenShift developers to conduct entire projects in Kubernetes.

    The new product is based on the open source Eclipse Che integrated development environment (IDE) project. The key is creating efficiencies.

  • Kubernetes IDE Offered by Red Hat

    Kubernetes, getting more popular by the minute for its container orchestration expertise, now has its own integrated development environment (IDE) thanks to open source champion Red Hat.

  • Red Hat Extends Datacenter Infrastructure Control, Automation with Latest Version of Red Hat CloudForms
  • Organisations Will Embrace Open Source To Avoid Lock-In & Boost Interoperability: Subram Natarajan, IBM

    2018 was a landmark year for cloud business in India, with enterprises moving away from the “one-cloud-fits-all approach” and moving towards a multi-cloud or hybrid approach. Most companies were seen choosing multiple cloud providers and clouds such as public, private, software-as-a-service, to best meet their needs. As most companies are integrating cloud with existing IT to get more value, we had a detailed chat with Subram Natarajan, CTO of IBM India to understand trends that are relevant for the Indian enterprises and give insights into how cloud adoption is evolving in India.

  • Traditional banks should turn to open source to save themselves, argues expert

    Toine Van Beusekom, Head of Payments at consulting firm Icon Solutions, has compared the situation faced by banks today to that of tech giant IBM, as described by former IBM CEO Lou Gerstner in his book ‘Who Says Elephants Can Dance’. In the book, Gerstner describes how he transformed IBM in the 1990s and argued that veteran companies can adapt and prosper. Van Beusekom contends that banks are at a similar fork in the road today.

    [...]

    Van Beusekom said that the banking market will increasingly be distinguished between those who are innovators and those who are not: “Payment transformation will be a pivotal point for those wanting to go further than glossy exteriors to deep and lasting transformation,” he added. “Those that embrace new technology models will lead the market. Those that continue to lean on legacy systems will become laggards and fall behind. It’s a simple choice, but it couldn’t be more important to the future of our industry.”

  • Intel Nauta: for Deep Learning on Kubernetes

    In an attempt to answer these challenges, we can look to Nauta as a new open source platform for distributed DL using Kubernetes.

  • Will The Harmonic Convergence Of HPC And AI Last?

    As Christopher Nguyen, a former Googler, pointed out to us four years ago, big data is precisely as much data as it takes for machine learning training to work, and the GPU is, at least thus far, the engine of choice for creating the neural networks because it has the right mix of threads and bandwidth – metrics that keep going up and up with each Moore’s Law jump – to allow the GPUs to handle more data and ever deeper neural networks that perform the machine learning training. This is why GPU-accelerated systems are, with a few exceptions, the default platform on which machine learning training runs today. If some other device comes along that can do it better, you can bet that the hyperscalers will port their machine learning frameworks to it in a heartbeat, and they have the technical chops to do it fast.

  • MapR Open Source Analytics Pack Boosts Kafka and Kubernetes, Adds C#, Go

    Updated quarterly, MEP releases are bundled MapR Ecosystem projects labeled with specific versions. In the new v6.1 offering, MapR -- now an "AI and analytics" company -- said developers and data scientists gain maximum flexibility in accessing data and building artificial intelligence/machine learning, real-time analytics and stateful containerized applications.

  • MapR ecosystem pack amplifies Kubernetes connections

    Data analytics firm MapR Technologies has sealed the cellophane on the MapR Ecosystem Pack (MEP) at its 6.1 version iteration.

    The toolpack is meant to give developers (and data scientists, unless they happen to be the same person) flexibility in terms of how they access data and build AI/ML real-time analytics and, also, flexibility for building stateful containerised applications.

  • The Taloflow Instance Manager (Tim)

    Taloflow is a Vancouver- and California-based startup, offering a Software-as-a-Service (SaaS) platform that seamlessly integrates into your preferred cloud service provider to set up alerts, capture metrics and automate a list of useful actions. The company is focused solely on bringing artificial intelligence (AI) automation and intelligence to cloud services. Currently, Taloflow is an operation of at least eight talented engineers coming from all business backgrounds (from startups to enterprises).

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  • mintCast 307 – Encryption Part 1
    This is Leo and with me I have Joe, Moss, and the return of Rob for this episode! We’re recording on Sunday April 21st 2019. First up, in our Wanderings, I talk Kernel 5.0 and transfer speed, Joe reformats and loses Windows but gains NVidia peace of mind, and finally Moss digests more distros and has some success with migrating Kodi Then, our news is filled with updates from top to bottom. In our Innards section, we dive into file and disk encryption.
  • Blame Joe | LINUX Unplugged 298
    This week we discover the good word of Xfce and admit Joe was right all along. And share our tips for making Xfce more modern. Plus a new Debian leader, the end of Scientific Linux, and behind the scenes of Librem 5 apps.

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