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Dodging derailment by SUSE, OpenStack Train is scheduled to arrive this week

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Server
OSS
SUSE

With its OpenInfrastructure summit mere weeks away, the OpenStack gang is emitting its next release in the form of "Train" with a focus on data protection and machine learning.

The release comes after foundation platinum member SUSE threw in the towel over OpenStack Cloud in order to move on to a bright, Kubernetes-based future.

Not that the "S" word was mentioned, even in a waveringly high-pitched tone, as OpenStack readied Train ahead of a release expected on 16 October.

As is the norm, OpenStack was keen to shout about the more than 25,500 accepted code changes this time around, from 1,125 developers over 150 organisations. A glance at the content of the release shows that OpenStack is as bewilderingly vast as ever, although a number of tweaks merit closer attention.

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Top 20 Best NodeJS CMS Platforms To Use in 2019 and New WordPress RC

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Server
OSS
Web
  • Top 20 Best NodeJS CMS Platforms To Use in 2019

    NodeJs has been a popular web framework. It has been used to develop highly scalable web applications. A statistic shows that more than 1.5 Lakh websites are using NodeJs on a regular basis. And the number is increasing proportionally. When it comes to Content Management System (CMS), many NodeJs frameworks have been leading the way to a consistent digital content platform. For years now, NodeJs has been used to create some powerful CMS architectures. If you look closely, you will find some useful NodeJs CMS structures that you have been looking for your projects.

  • WordPress 5.3 Release Candidate

    The first release candidate for WordPress 5.3 is now available!

    This is an important milestone as we progress toward the WordPress 5.3 release date. “Release Candidate” means that the new version is ready for release, but with millions of users and thousands of plugins and themes, it’s possible something was missed. WordPress 5.3 is currently scheduled to be released on November 12, 2019, but we need your help to get there—if you haven’t tried 5.3 yet, now is the time!

Server: Knative, Puppet, Kubectl and EdgeX Foundry

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Server
  • Google's Keeping Knative Development Under Its Thumb 'For the Foreseeable Future'

    In addition to Knative, which is for deploying serverless workloads, Google evidently plans to keep the Kubernetes service mesh, Istio, in-house.

  • Puppet’s New Cloud Native Continuous Delivery Tool Builds on the CDF’s Tekton [Ed: It says: "The Linux Foundation, Puppet, and Red Hat are sponsors of The New Stack." Read as: we're being paid to write this article by the subject of this article.]

    Puppet has released into public beta its Project Nebula, a cloud native tool that connects a DevOps team’s existing toolset into an end-to-end, continuous delivery platform. The company aims to simplify deployment of microservices and serverless-based applications by connecting popular tools for infrastructure provisioning, application deployment, and notifications into a single, automated workflow.

    “There are a few folks in the world who believe in one tool that solves all the problems. And then there are folks who believe in best-of-breed and pulling the right tools for the right job with the right people, and the right culture,” said Matthew Young, senior director of product management at Puppet. “And we’re really going after the latter… We are not trying to replace every other tool.”

  • Kubectl and friends as a snap

    At Canonical, we build solutions to simplify the lives of our users. We want to reduce complexity, costs, and barriers to entry. When we built the Canonical Distribution of Kubernetes (CDK) and MicroK8s, we made sure it aligned with our mission. We built snaps like kubectl for various Kubernetes clients and services to ensure a harmonious ecosystem.

    From user feedback, requests and going over the exciting use cases our users and partners are experimenting with, sometimes you just need to get up and running. Kubernetes on a Raspberry Pi anyone? This is why we provide Kubernetes components such as kubectl, kubefed, kubeadm, etc. as snaps and open to use for your use cases.

  • EdgeX Foundry Organizes Its First Hackathon

    The project organized its first hackathon in Chicago to see how the retail industry leverages EdgeX Foundry to solve some of its pressing problems.

Servers/Back End: Kubeflow, Kubernetes and EdgeX Foundry

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Server
  • Designing an open source machine learning platform for autonomous vehicles

    Self-driving cars are one of the most notable technology breakthroughs of recent years. The progress that has been made from the DARPA challenges in the early 2000s to Waymo’s commercial tests is astounding. Despite this rapid progress, much still needs to be done to reach full autonomy without humans in the loop – an objective also referred to as SAE Level 5. Infrastructure is one of the gaps that need to be bridged to achieve full autonomy.

    Embedding the full compute power needed to fully automatise vehicles may prove challenging. On the other hand, relying on the cloud at scale would pose latency and bandwidth issues. Therefore, vehicle autonomy is a case for edge computing. But, how to distribute and orchestrate AI workloads, data storage, and networking at the edge for such a safety-critical application? We propose an open-source architecture that will address these questions.

    [...]

    In order to implement an open-source machine learning platform for autonomous vehicles, data scientists can use Kubeflow: the machine learning toolkit for Kubernetes. The Kubeflow project is dedicated to making deployments of machine learning workflows simple, portable and scalable. It consists of various open-source projects which can be integrated to work together. This includes Jupyter notebooks and the TensorFlow ecosystem. However, since the Kubeflow project is growing very fast, its support is soon going to expand over other open-source projects, such as PyTorch, MXNet, Chainer, and more.

    Kubeflow allows data scientists to utilize all base machine learning algorithms. This includes regression algorithms, pattern recognition algorithms, clustering and decision making algorithms. With Kubeflow data scientists can easily implement tasks which are essential for autonomous vehicles. These tasks include object detection, identification, recognition, classification, and localisation.

  • Kubernetes communication, SRE struggles, and more industry trends

    As part of my role as a senior product marketing manager at an enterprise software company with an open source development model, I publish a regular update about open source community, market, and industry trends for product marketers, managers, and other influencers. Here are five of my and their favorite articles from that update.

  • Introducing a Tech Preview of Containerized Ceph on Kubernetes

    We have been hard at work to bring a containerized version of Ceph to Kubernetes, and we are very excited to announce that we are releasing a technical preview of our project to run SUSE Enterprise Storage (powered by Ceph) on SUSE CaaS Platform (powered by Kubernetes). We leverage the most modern, powerful application management framework to make Ceph lifecycle management easier, and we provide an easy way for SUSE CaaS Platform users to get Kubernetes-native persistent storage for their Kubernetes cluster backed by enterprise-grade software-defined storage.

    [...]

    The good news is that work on Rook and Ceph-Rook integration is a concentrated effort upstream. There are many eyes—and many fingers—working to make Ceph better on Kubernetes. We at SUSE are in a good position to make sure that Ceph and Rook work upstream will meet the unique needs of our customers, and we are thrilled that our customers and their needs are able to make upstream better.

  • Making The IoT More Open: A Common Framework For IoT Edge Computing With EdgeX Foundry

    The internet of things (IoT) is a diverse space, but it’s also fragmented by design, whether it’s consumer IoT or industrial IoT. In 2015, Dell started working on a project called Project Fuse to weave together the diverse and fragmented world of IoT. The idea was to build the right architecture for IoT and edge computing.

    The team working on the project quickly realized that they needed to extend the cloud-native principles — things like microservice-based architectures and platform independence — as close as possible to the device edge so that there would be more flexibility in how solutions are devised. In order to succeed, the project needed to be vendor-neutral, interoperable and open.

Servers, Security and DRM Leftovers

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Server
Security
  • DevNation Live Bengaluru: Sail into cloud — An introduction to Istio

    Our first DevNation Live regional event was held in Bengaluru, India in July. This free technology event focused on open source innovations, with sessions presented by elite Red Hat technologists.

    In this session, Kamesh Sampath provides an overview of Envoy and Istio, two open source projects that will change the way you write cloud-native Java applications on Kubernetes. We’ll show how to download and set up Istio on your local laptop, then deploy Java microservices as part of the Istio service mesh with Istio sidecar proxy.

  • Pogo Linux Launches New Modular Intel Servers to Address IT Evolution in Data Services

    Pogo Linux (https://www.pogolinux.com), a leading supplier of rackmount servers for the modern data center, today announced the immediate availability of a new product line of Intel®-based servers. Based on the newest Intel® server processor platform, Intrepid Modular Server System users can upgrade a single server with forward-compatible technology add-ons instead of buying a new server. The new Intrepid product line are integrated with 2nd Gen Intel® Xeon® Scalable processors and are shipping in volume across 1U thru 2U form factors.

    Since 1999, Pogo Linux has delivered custom-built, high-performance server hardware to IT departments of all sizes to process the compute backbone of traditional on-premise and data center applications. To support new business opportunities in the new digital and data services economy, including artificial intelligence (AI), machine learning and predictive analytics, technology departments will need to make new investments in IT infrastructure to stay competitive. As this data transformation touches all aspects of business, modern server hardware must to evolve to help IT users support more connected users.

  • Report finds cyberattacks on critical utility operating systems are increasing

    A new study published Friday finds that cyberattacks on the operational technology (OT) involved in running critical utilities are increasing and says these attacks have the potential to cause “severe” damage.

    The report, compiled by the manufacturing company Siemens and the Ponemon Institute, is based on survey responses from 1,700 utility professionals worldwide and focuses on cyber risks to electric utilities with gas, solar, or wind assets, and water utilities.

  •  

  • Yes, Apple just killed iTunes — here's what that means for your library of music, movies, and TV shows

                     

                       

    That means that rather than renting movies and TV shows through iTunes on your Mac, you'll watch everything through the Apple TV app.

Server: Decentralisation, SUSE and Red Hat

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Red Hat
Server
SUSE
  • Decentralizing the Data Center: Hybrid Cloud, Multi-Cloud and more

    But how did we get to cloud computing in the first place? While these are not the only reasons, cost, availability and disaster recovery were a large part of what motivated companies to transition from on-prem [-only] deployments to cloud or hybrid approaches. Now, let us fast forward to the present and we are seeing something entirely new: a complete decentralization of the data center.

    But what does that mean? Once upon a time, companies transitioning or starting their operations in the cloud shopped around and found a public cloud service that best suited their needs. The final decision typically boiled down to cost and services. I would know. I used to work in a division of one of these large cloud providers and we were always going neck-to-neck with the other major players for mainly these key topics.

  • Quarks – New Building Blocks for Deploying on Kubernetes

    At the recent Cloud Foundry Summit EU in the Netherlands, Mario Manno of SUSE and Enrique Encalada of IBM gave a presentation about two popular platforms for deploying your cloud-native applications – Kubernetes and Cloud Foundry. Kubernetes is the great for its flexibility, control over your application and is a great container orchestrator. Cloud Foundry is the go-to platform where you don’t want to worry about your infrastructure, networking, scaling, and routing. It also has the best developer experience in the industry. With Quarks, deployment is simplified using BOSH features, but keeping the flexibility of Kubernetes. Believing that Quarks is the next buzzword for Cloud Foundry conferences, they described and demonstrated the new framework and its building blocks for deploying cloud-native applications which has the best features of the two worlds.

  • SLE 12 SP5 Release Candidate 2 is out!

    This Service Pack 5 is a consolidation Service Pack release.

  • Red Hat Streamlines Operating System Update Cycle

    CentOS is a distribution of Linux based on a fork of Red Hat Enterprise Linux (RHEL). The team that oversees CentOS operates independently of Red Hat. That team in collaboration with Red Hat is making available an additional distribution dubbed CentOS Stream, through which a continuous stream of content will be updated several times daily.
    Mike McGrath, senior director for Linux engineering at Red Hat, said those innovations eventually will find their way into RHEL, but until then developers who want to build applications using those features as they become available can use CentOS Stream.
    This latest distribution of Linux from Red Hat is intended to act as a bridge between Fedora, a distribution of Linux through which Red Hat makes available experimental technologies, and RHEL, he said.

  • Happy Halloween (Packages Not In EPEL-8 yet)

    It is October, and in the US it means that all the decorations for Halloween are going up. This is a time of year I love because you get to dress up in a costume and give gifts to people. In the spirit of Halloween, I am going to make various packages available in a COPR to add onto the EPEL-8 repositories.

    There are a lot of packages which are in EPEL-6 or EPEL-7 but are not in EPEL-8 yet. Some of these may not be possible due to missing -devel, others may just need someone interested in maintaining a branch for EPEL-8, etc etc. In order to try and get a push on this I wanted to see what packages could be built and made ready at some point. I also wanted to make it possible that if you really needed this package, that they could be available. 

  • CentOS 8 Stream Install Guide – CentOS 8 Installation Screenshots

Virtualmin CPanel – Free & Open Source Web Hosting Panel

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Server
OSS

As the name suggests, a server control panel lets you control your server graphically, and provides you important server statistics, manage websites, databases, email accounts, etc. right in your browser without having to pass long commands.

You can do pretty much everything from the control panel. It makes handling complex and time-consuming server tasks extremely easy.

In this series, I will cover open source, free, and paid Linux control panels. If you need more features, you may need to support the development by giving a few dollars per year.

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Databases: MongoDB, ArangoDB and KarelDB

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OSS

Drupal and WordPress News

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Server
OSS
Drupal
  • Acquia Acquired for $1B, WordPress 5.3 on the Horizon, More Open Source News

    Acquia has announced an agreement to receive a majority investment from Vista Equity Partners, which essentially translates into the investment company purchasing Acquia for a colossal $1 billion. The investment will enable the open-source digital experience company to continue growing its presence in the digital experience platform space. “Vista shares our belief that the DXP market is ripe for disruption and we are excited to partner with them to accelerate our plans,” said Michael Sullivan, Acquia CEO.

    Acquia’s press release noted that Acquia will “continue to operate independently”.

    This announcement came shortly after being named to the 2019 Forbes Cloud 100 for the fourth consecutive year and acquiring the first enterprise-grade, low-code Drupal website builder.

  • Daily Buzz: Drupal's Big Buyout
  • WordCamp Philly returns this weekend in all its open-source, community-powered glory

    In an age where the internet’s attention is hyper focused on the most recent tweet, only to be distracted the next minute, WordPress’ decade-long staying power can be attributed to its diverse and dedicated open-source community.

    WordPress values and strives to grow its community, and one of the ways it does that is through WordCamps. Philadelphia is home to one of the oldest WordCamps in the United States, and the annual daylong event is returning this weekend, Oct. 5 and 6, at the Pennsylvania Academy of the Fine Arts.

  • People of WordPress: Alice Orru

    Alice Orru was born in Sardinia, an island in the middle of the Mediterranean Sea. As a child, she dreamt of becoming a flight attendant, traveling the world, and speaking many foreign languages.

    Unable to meet the height requirements of her chosen profession, Orru ended up choosing a different path in life, following the Italian mantra: “You have to study something that will guarantee a stable and secure job for life.”

    The unemployment rate in Sardinia is very high, a challenge shared throughout the surrounding islands. In addition to that, Alice wasn’t that keen on having the same job all her life, as her parents had.

    When Orru was 22 she moved to Siena, Tuscany, to finish her studies. That is when she created her first personal blog. The website was built on an Italian platform named Tiscali, which she later migrated to WordPress.com.

    After 2 years in Tuscany Orru moved to Strasbourg, France. She studied French and worked several jobs while living there. Her first serious job was in Milan – working 40 hours/week in the marketing department of a large, international company. She found herself surrounded by ambitious colleagues and a boss who constantly requested extra —unpaid— working hours per day.

Percona Database News

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Server
OSS
  • Percona Tunes Monitoring Platform For ‘Living Breathing’ Databases

    Modern enterprises run on information in the form of data, so they buy databases. Databases are nice solid chunky pieces of software that, once installed, neatly store away all the company’s operational and transactional information in easy-to-find predesignated areas… so after initial deployment, they pretty much look after themselves.

    Unfortunately, that’s not quite true. Databases are living breathing things that need to change and adapt to a variety of factors all the time. Here’s a selection of eight popular reasons that your firm’s information backbone might need to change...

  • Percona customers talk about database challenges

    At Percona Live in Amsterdam, the Open Source database company has released details from its latest customer survey. The results are interesting and suggest that the database market is less rigid, stable and predictable than you might think. They also show a propensity for larger customers to have more database instances than staff.

  • Percona details ‘state’ of open source data management

    Open source database management and monitoring services company Percona has laid down its state of open source data management software survey for 2019.

    Surveys are surveys and are generally custom-constructed to be self-serving in one sense or another and so convey a message set in their ‘findings’ that the commissioning body (or in this case company) has wanted to table to media, customers, partners and other related bodies.

    This central truth being so, should we give any credence to Percona’s latest market assessment?

  • Percona packages PostgreSQL alongside existing MySQL and MongoDB products

    PostgreSQL is among the most popular database management systems, but market share is a slippery thing to measure, depending on whether you mean revenue, developer activity, or actual deployed databases.

    The developer-focused StackOverflow puts PostgreSQL second after MySQL, with Microsoft SQL Server third and Oracle way down at 8th. DB-Engines on the other hand, which measures general discussion, puts Oracle top, followed by MySQL, Microsoft SQL Server and PostgreSQL 4th.

    Open-source company Percona's distribution, announced at its Percona Live event in Amsterdam, is based on PostgreSQL 11.5, supplemented by several extensions. The pg_repack extension reorganises tables with minimal locks. The PostgreSQL Audit Extension (pgaudit) provides tools for audit logs to meet compliance requirements. And backup and restore is provided by the pgBackRest extension.

  • Database Diversity: The Dirt, the Data

    Companies are using an increasingly eclectic mix of databases, a survey of 836 enterprise database users from around the world conducted by Percona reveals — with the vast majority of respondents using more than one type of open-source database.

    The survey comes as the overall database market – worth some $46 billion at the end of 2018 – continues to fragment: there are now over 40 companies with revenues of $100 million-plus in the commercial open-source ecosystem.

  • The state of open source databases in 2019: Multiple Databases, Clouds, and Licenses

    The Open Source Data Management Software Survey was undertaken by Percona, a company offering services for open source databases, to capture usage patterns and opinions of the people who use open source databases. The survey, unveiled today at Percona's Open Source database conference in Amsterdam, included 836 of them from 85 countries, which means it's a good way to get insights.

  • Percona Announces Enhanced Version of Award-Winning Open Source Database Monitoring and Management Platform, For Faster Performance Issue Resolution
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More in Tux Machines

Programming: Python, LLVM and Erlang

  • Sending Emails in Python — Tutorial with Code Examples

    What do you need to send an email with Python? Some basic programming and web knowledge along with the elementary Python skills. I assume you’ve already had a web app built with this language and now you need to extend its functionality with notifications or other emails sending. [...] Sending multiple emails to different recipients and making them personal is the special thing about emails in Python. To add several more recipients, you can just type their addresses in separated by a comma, add Cc and Bcc. But if you work with a bulk email sending, Python will save you with loops. One of the options is to create a database in a CSV format (we assume it is saved to the same folder as your Python script). We often see our names in transactional or even promotional examples. Here is how we can make it with Python.

  • Binning Data with Pandas qcut and cut

    When dealing with continuous numeric data, it is often helpful to bin the data into multiple buckets for further analysis. There are several different terms for binning including bucketing, discrete binning, discretization or quantization. Pandas supports these approaches using the cut and qcut functions. This article will briefly describe why you may want to bin your data and how to use the pandas functions to convert continuous data to a set of discrete buckets. Like many pandas functions, cut and qcut may seem simple but there is a lot of capability packed into those functions. Even for more experience users, I think you will learn a couple of tricks that will be useful for your own analysis. [...] The concept of breaking continuous values into discrete bins is relatively straightforward to understand and is a useful concept in real world analysis. Fortunately, pandas provides the cut and qcut functions to make this as simple or complex as you need it to be. I hope this article proves useful in understanding these pandas functions. Please feel free to comment below if you have any questions.

  • Analysing music habits with Spotify API and Python

    I’m using Spotify since 2013 as the main source of music, and back at that time the app automatically created a playlist for songs that I liked from artists’ radios. By innertion I’m still using the playlist to save songs that I like. As the playlist became a bit big and a bit old (6 years, huh), I’ve decided to try to analyze it.

  • Python IDEs and Code Editors

    A code editor is a tool that is used to write and edit code. They are usually lightweight and can be great for learning. However, once your program gets larger, you need to test and debug your code, that's where IDEs come in. An IDE (Integrated Development Environment) understand your code much better than a text editor. It usually provides features such as build automation, code linting, testing and debugging. This can significantly speed up your work. The downside is that IDEs can be complicated to use.

  • Announcing Anaconda Distribution 2019.10

    As there were some significant changes in the previous Anaconda Distribution 2019.07 installers, this release focuses on polishing up rough edges in that release and bringing all the packages up to date with the latest available in repo.anaconda.com. This means many key packages are updated including Numpy, Scipy, Scikit-Learn, Matplotlib, Pandas, Jupyter Notebook, and many more. As many of the package updates have addressed Common Vulnerabilities and Exposures (CVEs), it is important to update to the latest. Another key change since the last release is that Apple released macOS version 10.15 – Catalina. Unfortunately, this was a breaking release for previous versions of Anaconda that used the pkg installer. The Anaconda Distribution 2019.10 installers address the issues and should install without trouble on macOS Catalina. If you would rather repair your current Anaconda installation, please check out this blog post for tips.

  • Apple's Numbers and the All-in-One CSV export

    The hierarchical form requires a number of generator functions for Sheet-from-CSV, Table-from-CSV, and Row-from-CSV. Each of these works with a single underlying iterator over the source file and a fairly complex hand-off of state. If we only use the sheet iterator, the tables and rows are skipped. If we use the table within a sheet, the first table name comes from the header that started a sheet; the table names come from distinct headers until the sheet name changes. The table-within-sheet iteration is very tricky. The first table is a simple yield of information gathered by the sheet iterator. Any subsequent tables, however, may be based one one of two conditions: either no rows have been consumed, in which case the table iterator consumes (and ignores) rows; or, all the rows of the table have been consumed and the current row is another "sheet: table" header.

  • Formatting NFL data for doing data science with Python

    No matter what medium of content you consume these days (podcasts, articles, tweets, etc.), you'll probably come across some reference to data. Whether it's to back up a talking point or put a meta-view on how data is everywhere, data and its analysis are in high demand. As a programmer, I've found data science to be more comparable to wizardry than an exact science. I've coveted the ability to get ahold of raw data and glean something useful and concrete from it. What a useful talent!

  • Sony Pushes More AMD Jaguar Optimizations To Upstream LLVM 10 Compiler

    Sony engineers working on the PlayStation compiler toolchain continue upstreaming various improvements to the LLVM source tree for helping the AMD APUs powering their latest game console. Several times now we've pointed out Sony engineers contributing AMD "btver2" improvements to upstream LLVM with the company using LLVM/Clang as their default code compiler and the PlayStation 4 relying on a Jaguar APU.

  • [llvm-dev] GitHub Migration Schedule and Plans
    Hi,
    
    We're less than 2 weeks away from the developer meeting, so I wanted to
    give an update on the GitHub migration and what's (hopefully) going to
    happen during the developer meeting.
    
    Everyone who has added their information to the github-usernames.txt
    file in SVN before today should have received an invite to become a collaborator
    on the llvm-project repository.  If you did not receive an invite and think
    you should have, please contact me off-list.  I will continue to monitor the
    file for new updates and periodically send out new batches of invites.
    
    There is still some ongoing work to get the buildbots ready and the mailing lists
    ready, but we are optimistic that the work will be done in time.
    
    The team at GitHub has finished implementing the "Require Linear History"
    branch protection that we requested.  The feature is in beta and currently
    enabled in the llvm-project repository.  This means that we will have the
    option to commit directly via git, in addition to using the git-llvm script.
    A patch that updates git-llvm to push to git instead of svn can be found here:
    https://reviews.llvm.org/D67772.  You should be able to test it out on your
    own fork of the llvm-project repository.
    
    The current plan is to begin the final migration steps on the evening (PDT)
    of October 21.  Here is what will happen:
    
    1. Make SVN read-only.
    2. Turn-off the SVN->git update process.
    3. Commit the new git-llvm script directly to github.
    4. Grant all contributors write access to the repository.
    5. Email lists announcing that the migration is complete.
    
    Once the migration is complete, if you run into any issues, please file
    a bug, and mark it as a blocker for the github metabug PR39393.
    
    If you have any questions or think I am missing something, please
    let me know.
    
    Thanks,
    Tom
    
    
  • LLVM Plans To Switch From Its SVN To Git Workflow Next Week

    On 21 October they plan to make LLVM's SVN repository read-only and finish their git-llvm script to bring all the changes into Git, and then allow developers to begin contributing to the LLVM GitHub project as the new official source repository.

  • Excellent Free Books to Learn Erlang

    Erlang is a general-purpose, concurrent, declarative, functional programming language and runtime environment developed by Ericsson, a Swedish multinational provider of communications technology and services. Erlang is dynamically typed and has a pattern matching syntax. The language solves difficult problems inherent in parallel, concurrent environments. It uses sets of parallel supervised processes, not a single sequential process as found in most programming languages. Erlang was created in 1986 at the Ellemtel Telecommunication Systems Laboratories for telecommunication systems. The objective was to build a simple and efficient programming language resilient large-scale concurrent industrial applications. Besides telecommunication systems and applications and other large industrial real-time systems, Erlang is particularly suitable for servers for internet applications, e-commerce, and networked database applications. The versatility of the language is, in part, due to its extensive collection of libraries.

today's howtos

Kubernetes at SUSE and Red Hat

  • Eirinix: Writing Extensions for Eirini

    At the recent Cloud Foundry Summit EU in the Netherlands, Vlad Iovanov and Ettore Di Giacinto of SUSE presented a talk about Eirini — a project that allows the deployment and management of applications on Kubernetes using the Cloud Foundry Platform. They introduced eirinix — a framework that allows developers to extend Eirini. Eirinix is built from the Quarks codebase, which leverages Kubernetes Mutating Webhooks. With the flexibility of Kubernetes and Eirini’s architecture, developers can now build features around Eirini, like Persi support, access to the application via SSH, ASGs via Network Policies and more. In this talk, they explained how this can be done, and how everyone can start contributing to a rich ecosystem of extensions that will improve Eirini and the developer experience of Cloud Foundry.

  • Building an open ML platform with Red Hat OpenShift and Open Data Hub Project

    Unaddressed, these challenges impact the speed, efficiency and productivity of the highly valuable data science teams. This leads to frustration, lack of job satisfaction and ultimately the promise of AI/ML to the business is not redeemed. IT departments are being challenged to address the above. IT has to deliver a cloud-like experience to data scientists. That means a platform that offers freedom of choice, is easy to access, is fast and agile, scales on-demand and is resilient. The use of open source technologies will prevent lockin, and maintain long term strategic leverage over cost. In many ways, a similar dynamic has played out in the world of application development in the past few years that has led to microservices, the hybrid cloud and automation and agile processes. And IT has addressed this with containers, kubernetes and open hybrid cloud. So how does IT address this challenge in the world of AI – by learning from their own experiences in the world of application development and applying to the world of AI/ML. IT addresses the challenge by building an AI platform that is container based, that helps build AI/ML services with agile process that accelerates innovation and is built with the hybrid cloud in mind.

  • Launching OpenShift/Kubernetes Support for Solarflare Cloud Onload

    This is a guest post co-written by Solarflare, a Xilinx company. Miklos Reiter is Software Development Manager at Solarflare and leads the development of Solarflare’s Cloud Onload Operator. Zvonko Kaiser is Team Lead at Red Hat and leads the development of the Node Feature Discovery operator.

Python Across Platforms

  • Chemists bitten by Python scripts: How different OSes produced different results during test number-crunching

    Chemistry boffins at the University of Hawaii have found, rather disturbingly, that different computer operating systems running a particular set of Python scripts used for their research can produce different results when running the same code. In a research paper published last week in the academic journal Organic Letters, chemists Jayanti Bhandari Neupane, Ram Neupane, Yuheng Luo, Wesley Yoshida, Rui Sun, and Philip Williams describe their efforts to verify an experiment involving cyanobacteria, better known as blue-green algae. Williams, associate chair and professor in the department of chemistry at the University of Hawaii at Manoa, said in a phone interview with The Register on Monday this week that his group was looking at secondary metabolites, like penicillin, that can be used to treat cancer or Alzheimer's.

  • Chemists discover cross-platform Python scripts not so cross-platform

    In a paper published October 8, researchers at the University of Hawaii found that a programming error in a set of Python scripts commonly used for computational analysis of chemistry data returned varying results based on which operating system they were run on—throwing doubt on the results of more than 150 published chemistry studies. While trying to analyze results from an experiment involving cyanobacteria, the researchers—Jayanti Bhandari Neupane, Ram Neupane, Yuheng Luo, Wesley Yoshida, Rui Sun, and Philip Williams—discovered significant variations in results run against the same nuclear magnetic resonance spectroscopy (NMR) data. The scripts, called the "Willoughby-Hoye" scripts after their authors—Patrick Willoughby and Thomas Hoye of the University of Minnesota—were found to return correct results on macOS Mavericks and Windows 10. But on macOS Mojave and Ubuntu, the results were off by nearly a full percent.