Google Cloud launched a new Internet of Things management service today called Google Cloud IoT Core that provides a way for companies to manage IoT devices and process data being generated by those devices.
A transportation or logistics firm, for example, could use this
service to collect data from its vehicles and combine it with other
information like weather, traffic and demand to place the right vehicles
at the right place at the right time.
By making this into a service, Google is not only keeping up with AWS and Microsoft,
which have similar services, it is tapping into a fast-growing market.
In fact, a Google Cloud spokesperson said the genesis of this service
wasn’t so much about keeping up with its competitors — although that’s
clearly part of it — it was about providing a service its cloud
customers were increasingly demanding.
That’s because more and more companies are dealing with tons of data
coming from devices large and small, whether a car or truck or tiny
sensors sitting on an MRI machine or a machine on a manufacturer’s shop
floor. Just validating the devices, then collecting the data they are
generating is a huge undertaking for companies.
Photo: Google Cloud |
Google Cloud IoT Core is supposed to help deal with all of that by
removing a level of complexity associated with managing all of these
devices and data. By packaging this as a service, Google is trying to do
a lot of the heavy lifting for customers, providing them with the
infrastructure and services they need to manage the data, using Google’s
software services like Google Cloud Dataflow, Google BigQuery, and Google Cloud Machine Learning Engine.
Customers can work with third-party partners like ARM, Intel and Sierra
Wireless for their IoT hardware and Helium, Losant or Tellmeplus for
building their applications.
While the company bills itself as the more open alternative to competitors
like AWS and Microsoft Azure, this IoT service is consistent with
Google’s overall strategy to let customers use both its core cloud
services and whatever other services they choose to bring to the
process, whether they are from Google itself or from a third party.
The solution consists of two main pieces. First there is a device
manager for registering each of the “things” from which you will be
collecting data. This can be done manually through a console or
programmatically to register the devices in a more automated fashion,
which is more likely in scenarios involving thousands or even tens of
thousands of devices.
As Google describes it, the device manager establishes the identity
of a device and provides a mechanism for authenticating it as it
connects to the cloud, while maintaining a configuration for each
device that helps the Google Cloud service recognize it.
The second piece is a “protocol bridge,” which provides a way to
communicate using standard protocols between the “things” and the Google
Cloud service. It includes native support for secure connection over
MQTT, an industry-standard IoT protocol, according to the company.
Once the device is registered and the data is moved across the
protocol bridge, it can flow through processing and eventually
visualization or use in an application.
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