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Oracle forges a Java microservices framework

The Helidon framework supports the MicroProfile technology and is intended to make it easier to develop microservices

Paul Krill

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Jenkins CI/CD is in trouble, so its founder wants to split it up

The autonomous nature of the Jenkins community has made it unable to solve some issues, which are becoming more pronounced with the project now more than ten years old

Paul Krill

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10 machine learning APIs developers will love

Tap the readymade machine learning models behind these cloud-based APIs to add a stroke of genius to your app

Peter Wayner

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Machine learning: When to use each method and technique

What exactly can you do with machine learning? We explain the various methods and techniques available to you

Bob Violino

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Kubeflow brings Kubernetes to machine learning workloads

New Kubernetes project works with the TensorFlow library to ease machine learning deployments

Paul Krill

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Review: MongoDB takes on the world

MongoDB 4.0 beefs up with global cloud clusters, multi-document ACID transactions, and HIPAA compliance

Martin Heller

Exploratory Art/Tech Residency. Building a reactive physical structure for an AV live performance.

Mastering Spring framework 5: Spring WebFlux

Build reactive web applications using Spring WebFlux annotations and functional programming techniques

Steven Haines

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JDK 12 roadmap: Java 12 gets first targeted feature

Switch expressions capability would improve coding, allow pattern matching

Paul Krill

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What is the JDK? Introduction to the Java Development Kit

The JDK is a key platform component for building Java applications. At its heart is the Java compiler

Matthew Tyson

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Get started with Google Go

Go is a concise, simple, safe, and fast compiled language that trades features for speed. Isn’t it time you gave it a try?

Martin Heller

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Advanced programming with Java exceptions

Take your Java exceptions to the next level with stack traces, exception chaining, try-with-resources, final re-throw, and more

Jeff Friesen

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Machine learning: How to create a recommendation engine

In this excerpt from the book “Pragmatic AI,” learn how to code recommendation engines based on machine learning in AWS, Azure, and Google Cloud

Noah Gift

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