Open Source

Open Source news, information, and how-to advice

containers

What’s new in Kubernetes containers

Kubernetes 1.9 features several APIs for workloads and container storage, as well as beta support for Windows Server

datacenter servers warehouse database

The trifecta for your next-generation database: cloud, platform-as-a-service, and open source

Why more and more organizations are shifting their next-generation database architectures to focus on solutions instead of servers, and to embrace the value of open source database technologies

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Why old-school PostgreSQL is so hip again

Postgres is old as dirt, yet over the past five years it has panned out as pure gold

cloud data binary serverless

Oracle joins the serverless fray with Fn

The functions-based, open source serverless computing platform requires Docker and initially supports Java

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AWS’s Kubernetes support is a step in the right direction

Most cloud providers try to differentiate themselves through proprietary features—the opposite of what enterprises want them to do

highway on-ramps

Open source innovation is now all about vendor on-ramps

AWS, Microsoft, and Google are all racing to figure out how to turn their innovations into open source on-ramps to their proprietary services

container technology

Why containers will rule the cloud: the rise of Kubernetes

It’s clear we are moving in a cloud-native direction with microservices and containers. The big decision now is where to start

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Spark tutorial: Get started with Apache Spark

A step by step guide to loading a dataset, applying a schema, writing simple queries, and querying real-time data with Structured Streaming

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EE4J: Eclipse’s replacement for Java EE unveiled

Eclipse Foundation unveils nine EE4J proposals covering Java NIO, REST, web services, JSON, messaging, middleware, and WebSockets

FinTech - financial technology - blockchain network - distributed ledger wireframe

Blockchain shows open source’s fatal flaw—and a way forward

Open source usage has skyrocketed, but not the number of developers working on projects. Those who benefit need to pay developers to keep it all going

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What’s new in TensorFlow machine learning

Google's TensorFlow 1.4 machine learning library adds the contributed Dataset API for working with data sources, but watch out for breakage caused by the update

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What is Apache Spark? The big data analytics platform explained

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning

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What’s new in Prometheus monitoring for Docker and Kubernetes

Prometheus 2.0 container monitoring system arrives with a more efficient time-series data storage format, better handling of stale event data, and snapshot-based database backups

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Visual Studio Code roadmap: The new features you can expect

Microsoft’s 2018 roadmap focuses on performance, editor, workbench, JavaScript, and TypeScript improvements

3 fedora

What’s new in Fedora Linux 27

The newest version of Red Hat’s user-oriented Linux distro improves modularity to ease updates, refreshes the software development tools, and ends alpha releases

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Dremio: Simpler and faster data analytics

Built on Apache Arrow and Apache Parquet, Dremio brings self-service to data analysts and SQL queries to NoSQL data sources

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Get started with Rust, the language for safer code

Here’s how to get your feet wet with using Rust’s tool chain, creating projects, working with third-party code, and managing libraries

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ZGC large-heap Java garbage collector may go open source

Votes are due by November 8 to approve the project request, which could compete with Red Hat’s Shenandoah

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What’s new in the Anaconda distribution for Python

Version 5.0.1 of the math-, science-, and data-analysis-focused distribution for Python uses newly recompiled binaries

artificial intelligence / machine learning / network

Apache PredictionIO: Easier machine learning with Spark

An open source project now under Apache’s guidance uses a template system for easy training and deployment of Spark-powered machine learning models

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