Kubeflow brings Kubernetes to machine learning workloads

Now in beta, the open source Kubeflow project aims to help deploy a machine learning stack on the Kubernetes container orchestration system.

The Kubeflow machine learning toolkit project is intended to help deploy machine learning workloads across multiple nodes but where breaking up and distributing a workload can add computational overhead and complexity. Kubernetes itself is tasked with making it easier to manage distributed workloads, while Kubeflow centers on making the running of these workloads portable, scalable, and simple. Scripts and configuration files are part of the project. Users can customize their configuration and run scripts to deploy containers to a chosen environment.

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Review: MongoDB takes on the world

If you’ve built a medium-sized to large-scale web application in the last few years, you probably considered basing it on the open source LAMP or MEAN stack. The older LAMP stack uses the Linux operating system, Apache web server, MySQL relational database, and PHP programming language. MEAN uses the MongoDB NoSQL database, the Express back-end web application framework, the Angular application platform, and the Node.js JavaScript runtime. MEAN is essentially an end-to-end JavaScript stack. Linux isn’t explicitly mentioned in the acronym, but is usually the OS underneath Node.

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Mastering Spring framework 5, Part 2: Spring WebFlux

Spring WebFlux introduces reactive web development to the Spring ecosystem. This article will get you started with reactive systems and reactive programming with Spring. First you’ll find out why reactive systems are important and how they’re implemented in Spring framework 5, then you’ll get a hands-on introduction to building reactive services using Spring WebFlux. We’ll build our first reactive application using annotations. I’ll also show you how to build a similar application using Spring’s newer functional features.

Reactive systems and Spring WebFlux

The term reactive is currently popular with developers and IT managers, but I’ve noticed some uncertainty about what it actually means. To get clearer on what reactive systems are, it’s helpful to understand the fundamental problem they’re designed to solve. In this section we’ll talk about reactive systems in general, and I’ll introduce the Reactive Streams API for Java applications.

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15 great alternatives to React, Angular, and Vue

“The Sound of Music” may preach, “Let’s start at the very beginning, a very good place to start.” But almost every developer knows it is a foolish plan. The right place to start is with a firm foundation built by a great team of open source developers. Clone their hard work and then add just enough code to make it your own. There’s no need to repeat what everyone has done before.

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JDK 12 roadmap: Java 12 gets first targeted feature

While Java Development Kit (JDK) 11 won’t arrive for another month, work proceeds on its successor, JDK 12, with a switch expressions capability lined up for the release, expected in March 2019. Simplified coding is a goal of this capability.

Switch expressions, which will be in beta state in JDK 12, extends the switch statement so it can be used as either a statement or an expression. This would enable both forms to use either “traditional” or “ simplified” scoping and control flow behavior. These changes would result in simplified “everyday” coding and prepare the way for use of pattern matching in switch.

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Go tutorial: Get started with Google Go

Why would you want to use the Go language? Basically, it’s a concise, simple, safe, and fast compiled language with wonderful concurrency features, and it easily handles large projects. It’s also free open source, even though it was originally developed at Google.

According to Rob Pike, one of the designers of the language, “the goals of the Go project were to eliminate the slowness and clumsiness of software development at Google, and thereby to make the process more productive and scalable. The language was designed by and for people who write—and read and debug and maintain—large software systems.”

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Machine learning: How to create a recommendation engine

What do Russian trolls, Facebook, and US elections have to do with machine learning? Recommendation engines are at the heart of the central feedback loop of social networks and the user-generated content (UGC) they create. Users join the network and are recommended users and content with which to engage. Recommendation engines can be gamed because they amplify the effects of thought bubbles. The 2016 US presidential election showed how important it is to understand how recommendation engines work and the limitations and strengths they offer.

AI-based systems aren’t a panacea that only creates good things; rather, they offer a set of capabilities. It can be incredibly useful to get an appropriate product recommendation on a shopping site, but it can be equally frustrating to get recommended content that later turns out to be fake (perhaps generated by a foreign power motivated to sow discord in your country).

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Oracle and Intel seek to build a Java API for SIMD support

Oracle and Intel are developing a Java API to add first-class vector, or SIMD (single instruction, multiple data), support to the platform, which could yield big performance gains.  

Part of Project Panama, which focuses on interconnecting JVM and native code, the API aims to provide an initial iteration of an incubator module, jdk.incubator.vector, to express vector computations that compile at runtime to optimal hardware instructions on supported CPU architectures. Plans call for support of the Graal compiler. Goals of the project include:

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Java 101: Mastering Java exceptions, Part 2

JDK 1.0 introduced a framework of language features and library types for dealing with exceptions, which are divergences from expected program behavior. The first half of this article covered Java’s basic exception handling capabilities. This second half introduces more advanced capabilities provided by JDK 1.0 and its successors: JDK 1.4, JDK 7, and JDK 9. Learn how to anticipate and manage exceptions in your Java programs using advanced features such as stack traces, causes and exception chaining, try-with-resources, multi-catch, final re-throw, and stack walking.

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15 APIs every developer should know

Was it Isaac Newton who said he saw further because he stood on the shoulders of giants? APIs are like pithy, epigrammatic quotes for those who write code. They let programmers see further and stand on the shoulders of giants.

Immutable Azure Blob storage

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