Telit Wireless Solutions has debuted its first m2mAIR Cloud-ready wireless modules, designed to simplify the development and deployment of comprehensive M2M and Internet of Things (IoT) applications using the m2mAIR Cloud service – which the company states is an important step toward realizing its vision of the Internet of Things made plug-and-play.
Telit Cloud-ready modules feature embedded APIs that are compatible with the Telit on-board AppZone and Python environments and reduce hundreds of lines of code to 16 simple AT commands to move data automatically between remote devices in the field and relevant applications. All the necessary developer resources and support are included and an Evaluation Kit is available for rapid prototyping of custom m2m and IoT device solutions.
The m2mAIR Cloud Platform-as-a-Service, powered by deviceWISE, offers a simple “pay-as-you-grow” usage-based subscription plan – reducing risk, time-to-market, complexity and cost versus building your own point-solution. deviceWISE is an open, developer-friendly, carrier-grade platform, compatible with the TIA TR-50 standard. m2mAIR Cloud features comprehensive management and configuration capabilities to connect, collect, and control anything with bi-directional data transfers between remote devices and the Cloud – from basic entry-level solutions to full-scale enterprise-grade deployments across the globe.
Interested developers can register for a free trial of the m2mAIR Cloud service. The easy-to-use portal has all the necessary visualization tools and dashboards needed for most remote tracking, monitoring and control applications across all industries and markets, right out of the box. m2mAIR Cloud also meets the most stringent requirements of global organizations that rely on mission-critical reliability, security, scalability and enterprise-grade performance with built-in business system integration. Furthermore, it includes APIs that lets developers create their own web-based and mobile applications and dashboards, from simple functions to big data analytics.
Developers interested in working with the new embedded API should click to participate in a free trial.