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.
Jiale Hu, project lead at Implus Technology, a rapidly growing mobile programmatic advertising company, commented, “We needed mobile device detection in a Docker container that meshed with our microservice architecture strategy. WURFL Microservice for Docker is a big win for our development and operations (DevOps) team. Now, we can rapidly deploy new images and drive ads using accurate mobile device subsystems from several hubs around the world.”
ScientiaMobile’s Chief Operating Officer, Steve Kamerman, added, “Our own DevOps team has expertise using Docker to manage hundreds of WURFL instances. This is why we completely understand our customers’ need to easily maintain updated device detection with the same tools they use for continuous delivery. An enterprise-grade Docker registry helps our customers achieve exactly that.”
Ease of use: Select from Java, Golang, .NET (C#), PHP, or Node.js APIs to easily feed mobile device intelligence into applications.
Accuracy: Achieve 99.9 percent accuracy in device detection through automatic weekly updates of the industry’s most extensive library, containing 55,000 device models of smartphones, tablets, desktops, smart TVs, and game consoles.
Customization: Choose from over 500 device capabilities, including form factor and manufacturer’s suggested retail price (MSRP), ideal for mobile optimization, advertising, and analytics use-cases.
In addition to WURFL Microservice for Docker, ScientiaMobile offers similar microservices based on Amazon’s Machine Image (AMI) via the AWS Marketplace.
How To Install WURFL Microservice for Docker:
“We needed mobile device detection in a Docker container that meshed with our microservice architecture strategy. WURFL Microservice for Docker is a big win for our development and operations (DevOps) team. Now, we can rapidly deploy new images and drive ads using accurate mobile device subsystems from several hubs around the world.”