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.
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| 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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