Google Cloud IoT Core
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This document discusses Google Cloud IoT Core and how it can help companies harness IoT data to gain business insights. Google Cloud IoT Core is a fully managed service that allows global device connectivity and management through features like device configuration, monitoring, and firmware updates. It integrates with services like Cloud Pub/Sub for scalable data ingestion and Cloud Functions to build applications that process device data and enable real-time control and actions. With capabilities like Cloud IoT Edge, customers can also deploy analytics and machine learning models to derive insights locally at the network edge in addition to in the cloud.
Google Cloud IoT Core
- 1. Ido Flatow Customer Engineer, Google Cloud idoflatow@google.com Google Cloud IoT Core
- 2. Google Cloud Platform 2 How can we… By harnessing IoT data, we can answer pressing business and operational questions ● Track device status, state or location? ● Prevent downtime by predicting device failure? ● Optimize the performance of every device, in real-time? ● Automatically predict when a device needs maintenance? ● Detect anomalies?
- 3. Google Cloud Platform 3 Scaling on-demand Secure device connection Actionable Insights Three key challenges in building an IoT solution
- 4. Google Cloud Platform 4 We’ve built our IoT stack on the same technology and tools we use at Google Confidential & ProprietaryGoogle Cloud Platform 4
- 5. Google Cloud Platform 5 1B seven users products with
- 6. Google Cloud Platform 6 HK-G (HK, GU) 2019 Havfrue (US, IE, DK) 2019 Curie (CL, US) 2019 JGA (AU, GU, JP) 2019 Network SJC (JP, HK, SG) 2013 Unity (US, JP) 2010 Faster (US, JP, TW) 2016 PLCN (HK, LA) 2019 Monet (US, BR) 2017 Junior (Rio, Santos) 2018 Tannat (BR, UY, AR) 2018 Indigo (SG, ID, AU) 2019 Asia Pacific Americas Europe, Middle East, & Africa Google Cloud Platform Regions, PoPs, Network Edge points of presence 110+ 3London 3 Netherlands 3 3 Finland 3 Belgium 3Los Angeles 4Iowa 3 N. Virginia 3 S. Carolina 3 Montreal 3 São Paulo 3 Tokyo 3Osaka 3 Taiwan 3 Hong Kong 3 Mumbai 3 Sydney 3 Singapore 3Oregon Current region and number of zones Future region and number of zones Frankfurt Zürich 3 3
- 8. Google Cloud Platform 8 Introducing Cloud IoT Core Cloud IoT Core Cloud Functions Cloud ML BigQuery Cloud Dataflow Cloud Pub/Sub DataStudio Devices Applications
- 9. Google Cloud Platform 9 Fully-managed service to securely connect and manage your global device network Cloud IoT Core Device Manager : ● Configure individual devices ● Update and control devices ● Role level access control ● Logical device representation ● Console and APIs for device deployment and monitoring Protocol Bridge : ● MQTT , HTTP protocol endpoints ● Automatic load balancing ● Global data access with Pub/Sub
- 10. Google Cloud Platform 10 Simple UI for monitoring and management Cloud Platform
- 11. Google Cloud Platform 11 Ingestion at scale with Cloud Pub/Sub Topic Subscription Subscription Subscription IoT DeviceIoT DeviceIoT Device 3rd party services IoT Core Pub/Sub Functions Dataflow ● Durable message persistence ● Global service ● Powerful real-time features With Dataflow & Cloud Functions ● Separation of application and devices
- 12. Google Cloud Platform 12 Intelligence in the moment with Google Cloud IoT
- 13. Google Cloud Platform 13 Unlockbusiness insights in real time Build and execute ad hoc analyses on petabyte-scale IoT data sets Run advanced analytics and apply machine learning with to your IoT data Visualize IoT data results with built-in reports and dashboards Globally dispersed device data
- 14. Google Cloud Platform 14 Make real-time changes to the device state Seamlessly work with Android Things, and supports other embedded OS Out-of-the-box support from leading manufacturers like Intel and QualComm Manage device firmware updates or carry out repairs from one central network. Get a new level of insight into the operational efficiency of your devices
- 15. or Linux OS Cloud IoT Edge Real-time analytics & ML Edge ML Edge IoT Core Edge Device Data Control Update Config & Deploy ML model Data Cloud IoT Core for device connection and management Cloud ML Engine for training, deploying, and running ML model Cloud Pub/Sub for ingest event streams at any scale Other Cloud services BigQuery for data warehouse and fast querying Build and Train ML model in the Cloud Predict & act at the Edge Cloud Dataflow for streaming and batch analytics CPU GPU Edge TPU Cloud IoT Edge Locally store, process, and derive intelligence from data at the Edge
- 16. Features of Cloud IoT Edge Local compute ML inference at the Edge Run on Android Things and Linux-based OS Supports enhanced security through hardware-root-of-trust Edge TPU™ support Securely connect devices to the Google Cloud Works seamlessly with Cloud for hassle-free device provisioning
- 17. Exciting new features of Cloud IoT Core Cloud IoT provisioning High speed Cloud to device messaging Device management: Groups Cloud IoT Edge Gateways Onboard millions of devices seamlessly and securely Hit 100 msg/sec to each device at high speed Better control access to groups of devices with ACL Bring the power of AI to the Edge Securely connect any IoT device to Cloud Extensive logging Extremely fine-grained logging data for devices
- 18. Google Cloud Platform 18 Ingest, manage and optimize your IoT device data: • Cloud IoT Edge • Cloud IoT Core • Cloud Pub/Sub Process, clean and store: • Cloud Dataflow • Cloud Functions • Cloud Bigtable • Cloud Spanner • GCS Analyze, visualize and predict outcomes: • BigQuery • Cloud ML Engine • Data Studio • Cloud Functions • Cloud Dataflow A platform for end-to-end IoT data processing
- 19. Get started by visiting - cloud.google.com/IoT
Editor's Notes
- #6: Google Cloud is built on the same infrastructure and computing principles as that of the popular Google internet services that handle billions of users across the globe.
- #8: We understand that building an enterprise IoT solution is incredible difficult and we’re working to make it easier. Google Cloud IOT is a set of fully managed and integrated services that allow you to easily and securely connect, manage, and ingest IoT data from globally dispersed industrial devices at a large scale, process and analyze/visualize that data in real time, and implement operational changes and take actions (such as predictive maintenance) as needed based on that data.
- #9: Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from millions of globally dispersed devices. Cloud IoT Core, in combination with other services on Google Cloud IoT platform, provides a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency.
- #10: 100% managed service No need for autoscaling, redundancy, sharding or resource pre-provisioning. Connect one of millions of devices. Bridges MQTT protocol with highest level of security (TLS 1.2 with certificates) GLOBAL end-point (mqtt.googleapis.com) Data is published to PubSub automatically and is accessible globally Update and control devices via the Device Manager
- #13: Seamlessly move IoT data across Google Cloud services. Ingest data with Cloud IoT Core, distribute data with Cloud Pub/Sub, apply data transformations with Cloud Dataflow, and store data in Cloud Storage, BigQuery or in Bigtable .Perform ad hoc analysis using Google BigQuery, visualize data using Cloud Data Studio, and derive intelligence using Cloud Machine Learning
- #18: To touch on just a couple, Cloud IoT provisioning: Millions of devices can be connected to the Cloud IoT Core with zero provisioning operations. We are working with select secure element vendors to make this possible. High speed and scalable messaging will make control scenarios much easier where you want to be able to directly influence the state of your devices from the Cloud. Support for gateway devices to represent a multitude of less powerful or less secure on-premise devices. All these features being added to IoT Core represent more robust scaling.
- #20: We plan to release a set of software and hardware as part of our edge offering as an extension of the IoT platform. Edge TPU: a hardware accelerator chip for local ML inference Edge ML: a client library which uses Tensorflow-lite runtime to perform machine learning inference on the Edge TPU hardware chip. Since it uses Tensorflow-lite runtime, Edge ML will have support for ML inference on GPUs and other hardware accelerators. Edge IoT Core: a client library to securely connect to Google Cloud IoT Core and transfer data and ML models with Cloud.