Akamai has unveiled the Edge Cloud, a solution for delivering data to connected devices and in-application messaging at scale.
The company said it is most useful for businesses bringing billions of endpoints online as part of the IoT connected devices ecosystem.
“From car makers to hotel operators, virtually every industry is incorporating endpoints in the form of connected devices and applications into their business strategies, capitalizing on the ubiquity of Internet access,” Akamai said in a news release.
“However, building and managing the infrastructure required to support, scale and secure these experiences can be incredibly time-, cost- and resource-intensive for organizations and not a part of their core competency,” it added.
The company noted that IoT Analytics Research projects approximately 22 billion connected devices by 2025, and these will be sending data across the Internet.
“In addition, billions of application instances will be sending trillions of messages, and these endpoints represent both vast opportunities and challenges for businesses in terms of harnessing, distributing and protecting the data,” it said.
Hence, the company is focused on developing technology designed to scale and secure the way internet of things (IoT) and application data is delivered to endpoints, according to Craig Adams, senior vice president and general manager, Web Performance and Security, Akamai Technologies.
Akamai expects that as more use cases emerge for IoT and in-application messaging, such as Message Queuing Telemetry Transport (MQTT), there is a need to offer connectivity for billions of devices and real-time data delivery.
Through IoT Edge Connect, a new product within the Edge Cloud solution line, both resource-constrained IoT devices and applications using MQTT for messaging can send or publish information about a given topic to a server that functions as an MQTT message broker.
With IoT Edge Connect, developers can enable low-latency interactions with millions of endpoints and process data in real-time, according to Akamai.
