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Blockchain – The Next Big Thing for Middleware

Posted by Kai Wähner on  Dec 12, 2016

Blockchain, most well known as the technology behind Bitcoin, has uses far beyond cryptocurrencies. It will soon become a key component for distributed infrastructure and middleware applications.

Article Series: Getting a Handle on Data Science

Posted by Francine Bennett on  Dec 05, 2016

In this series we explore ways of making sense of data science - understanding where it’s needed and where it’s not, and how to make it an asset for you, from people who’ve been there and done it.

The Container Landscape: Docker Alternatives, Orchestration, and Implications for Microservices

Posted by Kai Wähner on  Nov 20, 2016

The orchestration of containers is key for success, and various technologies are competing for market share. This article examines the current tooling and how this relates to deploying microservices. 2

But is it Safe?

Posted by Gary K. Evans on  Oct 31, 2016

While it is rare to hear the question, "Is this software safe?", the safety aspects of software are becoming increasingly important. How can developers improve the safety of the software they develop?

Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform

Posted by Srini Penchikala on  Oct 13, 2016

Yahoo uses Hadoop for different use cases in big data & machine learning areas. InfoQ spoke with Peter Cnudde on how Yahoo leverages big data technologies.

Traffic Data Monitoring Using IoT, Kafka and Spark Streaming

Posted by Amit Baghel on  Sep 28, 2016

Internet of Things (IoT) is an emerging technology. One of the areas of IoT is the connected vehicles. In this article, we'll use Spark and Kafka to analyse and process IoT connected vehicle's data. 6

Big Data Processing with Apache Spark - Part 5: Spark ML Data Pipelines

Posted by Srini Penchikala on  Sep 24, 2016

In this fifth installment of Apache Spark article series, author Srini Penchikala discusses Spark ML package and how to use it to create and manage machine learning data pipelines. 2

Book Review: Site Reliability Engineering - How Google Runs Production Systems

Posted by João Miranda on  Sep 21, 2016

"Site Reliability Engineering - How Google Runs Production Systems" is an open window into Google's experience and expertise on running some of the largest IT systems in the world.

Spark GraphX in Action Book Review and Interview

Posted by Srini Penchikala on  Sep 12, 2016

InfoQ spoke with authors of Spark GraphX in Action book, Apache Spark framework and what's coming up in the area of graph data processing and analytics.

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