Blog

Integrating WURFL Microservice with Spark Streaming

Sep 14th, 2020

This article builds on the assumption that the reader is familiar with Apache Spark and the world of analyzing large amounts of data in parallel. Spark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of live data streams. In this post we look at integration of Spark with WURFL for device detection through User-Agent analysis.

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WURFL Microservice for Azure: a Tutorial

Mar 2nd, 2020

This tutorial on WURFL Microservice for Azure hinges on a demo inspired by the Event Streams use case. WURFL VMs available on the Azure Marketplace can be used to deploy a WURFL API in minutes with no need to obtain an explicit license from ScientiaMobile (as it is normally the case with “classical” on-prem WURFL APIs). In this tutorial we use .NET Core, but the use case can easily be supported with other programming languages, other cloud vendors and other data analysis platforms.

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WURFL Microservice for AWS: a Tutorial

Feb 20th, 2020

This tutorial on WURFL Microservice for AWS hinges on a demo inspired by the Event Streams use case. WURFL AMIs available on the AWS Marketplace can be used to deploy a WURFL API in minutes with no need to obtain an explicit license from ScientiaMobile (as it is normally the case with “classical” on-prem WURFL APIs). In this tutorial we use Java, but the use case can easily be supported with other programming languages, other cloud vendors and other data analysis platforms.

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Introducing WURFL Microservice for Docker

Jan 30th, 2018

Today, we launched WURFL Microservice for Docker, an extension to the WURFL Microservice product line that we already have for AWS. If you are not familiar with microservices, I recommend that you read this post to make sense of why a WURFL REST API server may be a good idea and why Docker can be a great option for deploying it.

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Introducing WURFL Microservice for AWS

Dec 20th, 2017

Luca Passani, CTO @ScientiaMobile

“The golden rule: can you make a change to a service and deploy it by itself without changing anything else?”

― Sam Newman, Building Microservices

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