Golgi adds native Arduino, Intel Edison support to IoT platform

Golgi is adding support for more devices to its Internet of Things cloud service

Golgi is adding support for more devices to its Internet of Things cloud service

Data transport and Internet of Things cloud service provider Golgi has added support for native Arduino and Intel Edison endpoints in a bid to bolster the IoT platform.

Golgi, which is owned by data transport tech provider Openmind Networks, offers a cloud-based managed connectivity service that helps bridge the gap between different IoT devices and applications across multi-architecture networks.

The service effectively auto-generates native code for each endpoint once the platform is told what kind of data it will be ingesting from them, so that developers don’t have to muck about learning a rift of different technologies in order to link up a broad range of sensors to their applications and services.

“Our support for Arduino and Edison creates a place where IoT developers and makers of embedded devices can meet,” said Brian Kelly, chief technology officer and co-founder of Golgi.

One of the big challenges in the IoT sector at the moment sits where the needs of device manufacturers and IoT app developers conflict.

Device manufacturers seem incentivised to back (build to) as few technology ecosystems as possible given the cost implications, but as we’re still in the heyday of IoT it is clear there is no shortage of IoT tech ecosystems, each with their own take on transport and application language support, jockeying for the top spot. Similarly, developers don’t want to have to learn a raft of technologies just to develop and deploy an IoT service. That’s the challenge Golgi is trying to solve – by abstracting much of the underlying coding work away.

“We’ve been solving operators’ data transport problems for 13 years, and now we’ve extended our infrastructure to solve these problems for IoT developers. Because Golgi translates the various communications languages of device makers, developers don’t have to learn them; they can focus on what they know best. As a result, their product development cycle is shortened by 50 per cent and time to market is speeded up,” Kelly said.