device detection

Enterprises Can Simplify Device Detection Deployment and Scaling with WURFL Microservice for Docker

Accurate Device Detection Now Available for Java, Golang, .NET (C#), PHP, and Node.js Through Docker Containers

RESTON, Va., Feb. 1, 2018 (GLOBE NEWSWIRE) — ScientiaMobile launches WURFL Microservice for Docker to support enterprises that deploy device detection services using Docker containers. These enterprises can easily integrate WURFL into their microservice architecture and seamlessly deploy to servers using Docker’s container framework.

“Docker has grown over 40 percent during the last year among firms that require scalable production environments. ScientiaMobile is rapidly growing its customer base among these types of organizations. We see a great opportunity in the industry, and particularly in the advertising and eCommerce sectors,” says Krishna Guda, Chief Executive Officer, ScientiaMobile.

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Introducing WURFL Microservice for Docker

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


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. In extreme synthesis, adopting a microservice architecture is about splitting up complex systems into software components that speak to one another, with each component only concerned about delivering a coherent set of functions. This is the alternative to old-style “monolithic” applications that depend on a complex “omniscient” database at the center of everything (and, as such, also prone to represent a bottleneck at different levels).

In this context, WURFL Microservice is the evolution of WURFL that turns it into an independent component with a single concern: delivering device information to other components in the system.

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Most Popular Apple iPhone Launch Results: November to December 2017

At the beginning of the iPhone X launch, there were many challenges to get the phone into the hands of consumers, but one thing is for sure, its select consumer group with a higher willingness-to-pay is smaller than that of the masses who purchased the iPhone 8 or iPhone 8 Plus. What is striking is that the middle of the road or “Goldilocks” approach really did work for Apple. From our findings, the iPhone 8 Plus, the middle market iPhone offered at a Manufacturer’s Suggested Retail Price (MSRP) of $799, was the most popular recently launched iPhone over the past month, starting off at more than 0.26% of all smartphones and growing to 0.40% of all smartphones used.

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What is Device Detection?

Have you ever wondered how the model and characteristics of your phone, TV, or computer are being analyzed and used? Well that’s device detection! It allows a website to create a page that’s optimized for a device model, browser, and operating system. Using device detection, websites can ensure a great user experience and improve performance.

User-agent strings

Device detection analyzes the user agent (UA) string sent by the browser. UAs help identify what device is currently accessing the site. This can include browsers that are running email applications, app web views, operating systems and, most importantly, the device itself. UA strings are designated in the HTTP standard, which says that a UA is made up of multiple product tokens indicating the software and hardware characteristics of the device. Unfortunately, the rules involved in creating UAs aren’t strict. Browser makers and hardware manufacturers, who are responsible for naming the hardware in the UA, are free to format information about the device or the browser as they see fit. And with all the variations of devices, the task of accurately detecting devices is complicated and time consuming enough that simple hacks fail to do the job.

Our solution

A device detection solution must be sophisticated enough correctly interpret UAs, avoid false positives, and stay current with the ever-growing array of device models. ScientiaMobile holds a patent on its WURFL device detection API (application programming interface). By using this API to analyze the UAs from your website, we can provide device intelligence that let’s you optimize your browsing experience.

How Device Detection Works

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53% of Mobile Site Visitors Abandon if it Takes More Than 3 Seconds to Load Page

According to a recent Google study, more than half of mobile visitors will leave if the website takes longer than three seconds to load. And one in two mobile visitors expect their page to load in less than two seconds. This is especially important to the e-commerce and advertising community who rely on image-heavy content to drive many of their conversions and sales. In fact, mobile sites which load in only five seconds earned almost twice as much mobile revenue compared to ads which had site load in 19 seconds.

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