T-Systems, a subsidiary of global operator Deutsche Telekom, unveiled an edge computing platform that delivers low latency for IoT applications in enterprise facilities. The EdgAir platform is designed to operate like a private cloud to ensure security and transmit data in less than 10 milliseconds, according to the IT services and consulting company.
The platform is based on OpenStack and allows enterprises to run IoT applications as virtual machines (VM) or in Docker containers as microservices that operate independent of the underlying infrastructure. The containers are also coordinated via Kubernetes and EdgAir equipment can be installed as a pole mount, ruggedized rack, or a standard rack.
“In combination with Time Sensitive Networks and a very good service level agreement, our managed platform EdgAir can meet requirements such as real-time control of machines in a production hall,” said Albert Kroisleitner, senior product manager of edge platform at T-Systems, in a prepared statement.
EdgAir can be linked to a campus network while providing analytics that enable data scientists and developers to evaluate performance and other pertinent information in real-time, the company explained.
The edge computing platform is primarily tailored to work in factories with varying functions, including production, logistics, building and guided vehicle automation, automotive, and energy. EdgAir also runs on a closed enterprise network, but can be combined with a public cloud to enable hybrid cloud offerings.
Deutshe Telekom named Osram as its first EdgAir customer. The Munich, Germany-based lighting manufacturer is currently running the platform on 4G LTE, but plans to switch to 5G connectivity.
Edge computing paired with low latency are among the key features that operators aspire to deliver on 5G networks. The technology is expected to allow enterprises to automate industrial IoT applications, gain real-time insights into application and network performance at a granular level, and open new opportunities for services that have traditionally been delivered manually or via off-site networks at higher latency rates.