Google Cloud Platform Blog: Introducing Google Cloud IoT Core: for securely connecting and managing IoT devices at scale

Google Cloud Platform Blog

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Introducing Google Cloud IoT Core: for securely connecting and managing IoT devices at scale

Tuesday, May 16, 2017

By Indranil Chakraborty, Product Manager, Google CloudGoogle Cloud PlatformGoogle Cloud IoT Core

Utilities can monitor, analyze and predict consumer energy usage in real time

Transportation and logistics firms can proactively stage the right vehicles/vessels/aircraft in the right places at the right times

Oil and gas and manufacturing companies can enable intelligent scheduling of equipment maintenance to maximize production and minimize downtime

About all the things— —

Operational cost and complexity: The overhead of managing the deployment, maintenance and upgrades for exponentially more devices is stifling. And even with a custom solution in place, the resource investments required for necessary IT infrastructure are significant.

Patchwork security: Ensuring world-class, end-to-end security for globally distributed devices is out of reach — or at least not a core competency — for most organizations.

Data fragmentation: Despite the fact that machine-generated data is now an important data source for making good business decisions, the massive amount of data generated by these devices is often stored in silos with a short expiration date, and hence never reaches downstream analytic systems (nor decision makers).

—

Key features and benefits

Fast and easy setup and management: Cloud IoT Core lets you connect up to millions of globally dispersed devices into a single system with smooth and even data ingestion ensured under any condition. Devices are registered to your service quickly and easily via the industry-standard MQTT protocol. For Android Things-based devices, firmware updates can be automatic.

Security out-of-the-box: Secure all device data via industry-standard security protocols. (Combine Cloud IoT Core with Android Things for device operating-system security, as well.) Apply Google Cloud IAM roles to devices to control user access in a fine-grained way.

Native integration with analytic services: Ingest all your IoT data so you can manage it as a single system and then easily connect it to our native analytic services (including Google Cloud Dataflow, Google BigQuery and Google Cloud Machine Learning Engine) and partner BI solutions (such as Looker, Qlik, Tableau and Zoomdata). Pinpoint potential problems and uncover solutions using interactive data visualizations, or build rich machine-learning models that reflect how your business works.

Auto-managed infrastructure: All this in the form of a fully-managed, pay-as-you-go GCP service, with no infrastructure for you to deploy, scale or manage.

"With Google Cloud IoT Core, we have been able to connect large fleets of bicycles to the cloud and quickly build a smart transportation fleet management tool that provides operators with a real-time view of bicycle utilization, distribution and performance metrics, and it forecasts demand for our customers."
— Jose L. Ugia, VP Engineering, Noa Technologies Next stepspartners

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Labels: Announcements , Big Data & Machine Learning

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