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Interconnecting microservices is a big challenge because they can be spread across many servers and move frequently. The Microservices Reference Architecture ebook is a practical guide that can help you solve this and other challenges of building microservices-based applications.View
Predictive modeling is a powerful way to add intelligence to your application. Incorporating predictive analytics involves two major phases: model training and model operationalization. In this tutorial, learn how to create a predictive model in R and operationalize it with SQL Server 2016.View
Database-backed microservices are powerful and in this article we show how to use SenecaJS, NodeJS and Compose databases to create a virtual product catalog. Microservices are making a huge dent in web development, with companies like Netflix, Walmart, and IBM embracing microservice architectures.View
Download this report to explore best practices for automation, high availability, data separation, and performance while inspecting design patterns such as aggregator, proxy, pipeline, and shared resources to model service interactions.View
As the industry moves towards microservices, continuous delivery (CD), and Docker, does Java still have a place? Though it may seem like a strange mix at first, combining battle-hardened Java with these emerging technologies can give you the best of both worlds.View