Development News & Reviews
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Istio 1.0 is just a couple months from release, and when that happens, IBM will make it available for its Cloud Container Service.
Google’s new n1-ultramem family designed for data analytics, enterprise resource planning, genomics research and other high-performance apps, company says.
Release of dA Platform with open source Apache Flink enables enterprises to process, analyze and react to massive quantities of data instantaneously. It moves a little quicker than Hadoop and other systems.
Chris Preimesberger | Updated
With the recent introduction of Facebook’s Oculus Go, the idea of putting augmented and virtual reality applications to work on a daily basis suddenly becomes reality. How would you like to see this technology used?
The software giant is encouraging developers look beyond Windows with updates to the Microsoft Graph APIs and a batch of new coding tools.
NEWS ANALYSIS: We’re only a short time away from allowing our cars to make traffic decisions in transporting us around town; now we’re on the edge of letting digital assistants make dinner reservations for us—also without human intervention.
Facebook CEO introduces several new functions, including a dating app, one that allows a group to share watching videos in real time, and new ways natural language processing and artificial intelligence will be used in future apps.
Developers can use IBM Watson Assistant and the IFTTT automation platform to add intelligence to their consumer-facing IoT systems.
Cloud Foundry executives discuss how much faster users of the open-source developer platform are able to deploy applications at scale and even save some money.
DAILY VIDEO: Ransomware attacks doubled in 2017, Verizon reports, and Microsoft speeds Android app development in Visual Studio 2017.
Hybrid data management Actian developed the world’s fastest columnar analytics database and brings special data-centric IP to its new owners.
Dedicated AI cloud offers developers of all levels a sophisticated solution for building, training and deploying machine learning applications.