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GCP IoT (Google Cloud Platform)

GCP IoT is a platform for connecting, storing, and analyzing data from field devices

Google Cloud IoT is a platform for connecting, storing, and analyzing data from IoT devices at the edge and in the cloud. Google Cloud IoT services support connections to dataloggers and other edge equipment from a wide range of manufacturers, providing multiple tools for moving IoT data to the cloud and utilizing it for various purposes.

Thanks to our flexible input APIs, Clarify can be easily connected to Google Cloud IoT, providing a cost-efficient and simple way of getting value from the time series IoT data sent to the platform.

Clarify makes it easy to visualize time series data from your IoT network, access it on web and mobile devices, as well as sharing data to other people. With Clarify, your organization can focus on key business goals instead of configuring dashboards or developing expensive custom solutions.

What is Google Cloud Platform? 

Google Cloud Platform (GCP) is a cloud computing services suite by Google that includes various tools for cloud management, networking, computing, data storage, Big Data analytics, and other purposes. The platform also provides serverless computing environments, infrastructure as a service, and platform as a service.

Services that are part of GCP are relying on the same infrastructure that is used by Google’s internal end-user services, such as the Google search engine, Gmail, YouTube, etc. Google Cloud Platform is part of Google Cloud enterprise offering, which also includes Google Workspace (formerly G Suite), enterprise versions of Android and Chrome OS, as well as APIs for machine learning and enterprise mapping services.

Google Cloud Platform was started in 2008 from App Engine, a platform for the development and hosting of web applications in the cloud. App Engine became generally available in 2011. Over the years, Google added multiple other cloud services to the platform. 

The platform consists of multiple physical assets, such as computers and hard disk drives, and virtual resources, such as virtual machines (VMs), that are contained in Google's data centers in different parts of the world. 

In total, Google Cloud Platform incorporates over 100 different services, divided into a number of categories, including AI and machine learning, API management, cloud computing, containers, data analytics, databases, developer tools, healthcare and lifesciences, hybrid and multi cloud, IoT, management tools, networking, migration, media and gaming, storage, security, and others. 

Google Cloud IoT Platform

Google Cloud Platform includes a number of Google Cloud’s services for various IoT-related applications. Specifically, Google Cloud IoT has extensive predictive maintenance capabilities that allow it to automatically predict downtime, detect anomalies, track device status, state and location, while optimizing the performance of devices in IoT in real time for best results. 

Google Cloud’s IoT platform can track valuable assets in real time, perform logistics and supply chain management (inventory tracking, cargo integrity monitoring, etc.), utilize complex analytics and machine learning to gain insights from IoT data, as well as providing infrastructure for smart city and building projects that include thousands of sensors and edge devices.

Google Cloud IoT Core

IoT Core is a fully managed service that allows users to connect, manage and ingest data from millions of IoT devices in an easy and secure way. As a fundamental part of Google Cloud;s IoT platform, IoT Core, in combination with other services on Google Cloud, provides a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency, problem prediction, and building complex virtual models for business optimization and other purposes.

Using Cloud Pub/Sub, Google’s messaging middleware for service integration, IoT Core is able to aggregate dispersed device data into a single global system that integrates seamlessly with Google Cloud data analytics services. 

IoT Core supports standard MQTT and HTTP protocols for simple device connections with minimal firmware changes. The solution also runs on Google’s serverless infrastructure, which scales automatically in response to real-time changes and utilizes industry-standard security protocols for data protection.

IoT Core supports default connections with devices from leading hardware manufacturers, allowing users to centrally manage data from the entire IoT network on one screen. 

Edge TPU

Edge TPU, which is also a part of GCP’s IoT platform, is Google’s purpose-built ASIC (application-specific integrated circuit) designed to run AI at the edge. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge. Developers can integrate Edge TPU into their products with hardware from Coral.

Google Assistant Smart Home

As an additional IoT service, Google Smart Home platform lets users control their commercially available connected IoT devices through the Google Home app and Google Assistant, which is available on more than one billion devices, including smart speakers, phones, cars, TVs, headphones, watches, etc.

Why integrate with Clarify?

  • Search - let people on your team easily find data across siloed systems - always available on their phone or in the browser
  • Visualize - See trends and combine data to visually explore
  • Explore - See statistics and seamlessly move from millisecond detail to years worth of data
  • Export - Combine data sources and easily export to Excel for further data work
  • Annotate/label - Add meaning and context to your data by labeling both points and periods in time, to build training sets for your AI/ML efforts
  • Contextualize - Ensure naming, labeling, and metadata is of high quality
  • Cloud Storage - one safe space for your raw time series data built for cost-efficient speed and performance at scale
  • Integrate - break down your data silos and build one source of truth
  • Mobile apps for iOS and Android - make data easily available for your team, whenever and wherever they are. Fuel a remote work culture with live data.
  • Collaboration - share visualizations and discuss data with comments, threads and the activity feed. Add files for even more context.
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