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  • Key Takeaway Points and Lessons Learned from QCon San Francisco 2016

    by Abel Avram on  Dec 14, 2016

    The 10th annual QCon San Francisco was the biggest yet, bringing together over 1500 team leads, architects, project managers, and engineering directors. Over 125 practitioner-speakers presented 92 full-length technical sessions and 32 in-depth tutorials, providing deep insights into real-world architectures and state of the art software development practices from a practitioner’s perspective.

  • Blockchain – The Next Big Thing for Middleware

    by Kai Wähner on  Dec 12, 2016

    Blockchain, most well known as the technology behind Bitcoin, has uses far beyond cryptocurrencies. This article explains the use cases and technical concepts behind blockchain, gives an overview about available services, and points out why middleware is a key success factor in this space.

  • Managing Cultural Differences in Your Distributed Team

    by Hugo Messer Savita Pahuja on  Dec 10, 2016

    This article focuses on how cultural differences influence collaboration in distributed teams; it shares some virtues and practices which are helpful in bridging the cultural differences between team members. It defines culture and multicultural environment in distributed teams. It looks at questions teams can ask themselves to find out the impact of cultural differences in their day-to-day work.

Mobile Development Efficiency with NativeScript and Angular

Posted by TJ VanToll on  Dec 07, 2016

To meet both consumer demand and expectations, companies must develop for both mobile and web. TJ VanToll shows how to use NativeScript to develop cross platform mobile apps. 1

Book Review: Learn Apache JMeter by Example

Posted by Victor Grazi on  Dec 06, 2016

JMeter is an indispensable tool for testing load and functionality of multi-tiered applications. This book is the manual that should have been included to help surmount the learning curve.

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.

Data Science up and down the Ladder of Abstraction

Posted by Henry Garner on  Dec 02, 2016

Although Clojure lacks the extensive toolbox and analytic community of the most popular data science languages, R and Python, it provides a powerful environment for developing statistical thinking

Five Lessons Security Can Learn from DevOps

Posted by Wei Lien Dang on  Nov 30, 2016

New approaches in security are needed to address the challenges of DevOps. They must incorporate practices that rely on modularity, automation, standardization, auditability, and mirrored systems.

Reactor by Example

Posted by Simon Basle on  Nov 29, 2016

Reactor is a 4th gen reactive library launched by Pivotal. It builds on the Reactive Streams spec, Java 8, & ReactiveX. In this article we’ll showcase what Reactor brings to the reactive table

Q&A on the ​Practice of System and Network Administration (3rd Edition)

Posted by Ben Linders on  Nov 28, 2016

The third edition of The Practice of System and Network Administration incorporates developments like DevOps, infrastructure as code, continuous integration, operational excellence and assessments.

Ultimate Kanban: Scaling Agile without Frameworks at Ultimate Software

Posted by Steve Reid Prateek Singh Daniel S. Vacanti on  Nov 27, 2016

Through the innovative use of flow practices and principles Ultimate Software has been able to achieve many of the benefits of a Lean-Agile implementation without the use of a heavyweight framework. 1

From Raw Data to Data Science: Adding Structure to Unstructured Data to Support Product Development

Posted by Rishi Nalin Kumar on  Nov 25, 2016

With unstructured database technologies like Cassandra, MongoDB and even JSON storage in Postgres, unstructured data has become remarkably easy to store and to process.

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