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  • Lambda Functions versus Infrastructure - Are we Trading Apples for Oranges?

    by Dean Sheehan on  Apr 21, 2016

    Amazon's AWS Lambda service lets us run code without provisioning servers. Serverless offerings have recently been receiving interest due to their simplicity, capabilities and potential for cost reductions. This article compares the tradeoffs of serverless models with VM/Container based models.

  • Key Takeaway Points and Lessons Learned from QCon London 2016

    by Abel Avram on  Apr 05, 2016

    This article summarizes the key takeaways and highlights from QCon London 2016 as blogged and tweeted by QCon's 1,400 attendees. Over the course of the next 4 months, InfoQ will be publishing most of the conference sessions online, including 21 video interviews that were recorded by the InfoQ editorial team.

  • C#/Web API Code Generation Patterns for the RAML User

    by Jonathan Allen on  Apr 04, 2016

    In this article, Jonathan Allen outlines the design patterns that users of REST specification languages such as RAML, Swagger, and API Blueprint should adhere to when generating code for C# and ASP.NET Web API. This includes topics such as model validation, async support, and request cancellation.

Enterprise Mobility is Going Beyond “Mobile First” Approach. Are You Ready?

Posted by Jaykishan Panchal on  Mar 31, 2016

The mobile revolution is changing the way organizations work, manage their operations and engage with their employees. They are reconsidering their technologies making ‘mobile first’ a must have. 1

High Load Trading Transaction Processing with Reveno CQRS/Event Sourcing Framework

Posted by Artem Dmitriev on  Mar 29, 2016

Reveno is a powerful new, performant, JVM based lock-free transaction processing framework based on CQRS and event-sourcing patterns. In this article we develop a simple trading system using Reveno.

The Role of a Data Scientist in 2016

Posted by Ed Jones on  Mar 27, 2016

Data Science has been getting lot of attention as organizations are starting to use data analytics to gain insights into their data. This article takes a closer look at Data Scientist role in 2016.

The Four Concerns That Must Be Addressed Before the Internet of Things Can Really Take Off In 2016

Posted by Rodolfo Saccoman, Nabyl Charania on  Mar 26, 2016

Experts claim that by 2020, there will be more than 50 billion of connected devices with a $3.5 trillion impact on global economy. Shouldn’t we be seeing greater market penetration than we already do? 1

Microservices Evolution at SoundCloud

Posted by Alex Giamas on  Mar 21, 2016

At the MicroXchg conference in Berlin, Bora Tunca from SoundCloud presented the evolution of SoundCloud’s microservices architecture throughout the years. 3

Spark in Action Book Review & Interview

Posted by Srini Penchikala on  Mar 18, 2016

In Spark in Action book, authors Petar and Marko discuss Apache Spark for data processing batch & streaming data. InfoQ spoke with them about Spark framework, developer tools, and upcoming features.

One API, Many Facades?

Posted by Guillaume Laforge on  Mar 13, 2016

Beyond any ideal design of your API, reality strikes back with the concrete and differing concerns of varied API consumers. 2

Will AI Surpass Human Intelligence? Interview with Prof. Jürgen Schmidhuber on Deep Learning

Posted by Han Xu on  Mar 08, 2016

People worry about whether AI will surpass human intelligence these days. Prof. Juergen Schmidhuber will answer your questions and tell you more about deep learning as well as the latest trends in AI. 4

Unified Data Modeling for Relational and NoSQL Databases

Posted by Allen Wang on  Feb 28, 2016

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling. 5

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