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  • Microservices in the Real World

    by Ben Linders on  Jan 27, 2016

    An interview with Alexander Heusingfeld and Tammo van Lessen about getting operations involved in architecture and dealing with "us vs. them" behavior when applying DevOps, how to use the Self-Contained Systems approach to modernize software systems, similarities and differences between Self-Contained Systems and microservices, improving deployment pipelines and using measurements in deployment.

  • Q&A with Diana Larsen on her Contributions to the Agile Community and the Agile Fluency Model

    by Shane Hastie on  Jan 26, 2016

    At the Agile Open Northwest Open Space event Diana Larsen and James Shore led some discussions about the utilization and evolution of the Agile Fluency model. Afterwards Larsen spoke to InfoQ about her involvement with, and contributions to, the Agile community over the last 13 years and the fluency model.

  • Clojure Recipes Review and Q&A

    by Sergio De Simone on  Jan 25, 2016

    Addison Wesley’s Clojure Recipes is a new book that aims to help developers to get deeper into Clojure, moving from a generic understanding of the language features and syntax to setting up more complex projects that integrate external libraries. The book contains a collection of "weekend" projects targeting web client and server apps, implementing DSLs, using Datomic, Cascalog, Hadoop, etc.

From Monolith to Multilith at ticketea

Posted by Jose Ignacio Galarza & Miguel Araujo on  Jan 24, 2016

ticketea is a large online ticket selling platform in Spain. This article describes their growing pains and how DevOps and an API-based distributed architecture allowed them to cope with growth.

Beyond Requirements - Analysis with an Agile Mindset: Author Q&A

Posted by Shane Hastie on  Jan 23, 2016

Kent McDonald has written Beyond Requirements: Analysis with an Agile Mindset. The book focuses on the analysis activities in an Information Technology product development project.

Jawbone's Head of Data Science and Analytics on the Future of Wearables and Analytics Insights

Posted by Alex Giamas on  Jan 22, 2016

Brian Wilt, Head of Data Science and Analytics at Jawbone, recently gave a presentation at QCon SF about Machine Learning applications at Jawbone. Here we ask more about current and future directions. 3

Thinking Outside-In: How APIs Fulfill the Original Promise of Service-Oriented Architecture

Posted by Anders Jensen-Waud on  Jan 21, 2016

APIs are a lightweight agile way of building reusable systems. Previously only some SOA adopters delivered these goals. Some key differences are the shift to distributed resources & statelessness. 1

Getting Ready for IoT’s Big Data Challenges with Couchbase Mobile

Posted by Ralph Winzinger on  Jan 20, 2016

Our physical world is about to become digitally enabled and according to various predictions, there will be many billions of IoT devices going online and collecting data in the coming years. 1

Programming with Modularity and Project Jigsaw. A Tutorial Using the Latest Early Access Build

Posted by Nicolai Parlog on  Jan 19, 2016

Project Jigsaw, destined to bring modular programming into the Java mainstream, is starting to take its final form. This tutorial considers all aspects of programming and migration to Project Jigsaw. 4

Running Extended New Year’s Resolution Retrospectives with Focused Agile Coaching

Posted by Alexey Krivitsky on  Jan 18, 2016

In a futurespectives participants abstract themselves from the legacy of outstanding challenges, fly high dreaming the future to see itself in a year from now, and possibly derive some actions.

Edwin Dando on the Agile New Zealand Conference and Agile Beyond IT

Posted by Shane Hastie on  Jan 17, 2016

Edwin Dando discusses the Transformation theme of the Agile New Zealand conference and how Agile ideas are taking hold outside of Information Technology

Machine Learning with Spark: Book Review and Interview

Posted by Srini Penchikala on  Jan 15, 2016

Machine learning is about making decisions or predictions based on existing data. InfoQ spoke with Nick Pentreath, author of Machine Learning with Spark, about data science & machine learning topics.

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