IoT in the Google Cloud
Advanced 8 Steps 8 hours 48 Credits
In this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.
This lab shows you how to use Google Cloud Platform Console to create a Cloud IoT Core device registry and register a device. It also shows you how to run a sample to connect a device and publish device telemetry events.
In this lab configure Cloud IoT Core and Cloud Pub/Sub to create a Pub/Sub topic and registry on GCP, then use this topic to ingest data streaming from a simulated IoT device.
Configure Cloud IoT Core and Cloud Pub/Sub to create a Pub/Sub topic and registry on GCP. Using a simulated device, stream data to Google Cloud Storage, then design a Dataprep flow to analyze data.
This lab shows you how to connect and manage devices using Cloud IoT Core; ingest the steam of information using Cloud Pub/Sub; process the IoT data using Cloud Dataflow; use BigQuery to analyze the IoT data. Watch this short video, Easily Build an IoT Analytics Pipeline.
In this lab you build a simple IoT system. Simulated devices publish data to their telemetry feeds, the server then decides the devices' state using IoT Core.
In this lab you will provision Cloud IoT and Pub/Sub services using the APIs explorer. These will be used to create a temperature telemetry steam.
In this hands-on lab you configure CloudFunctions to send IoT Core device application logs to Stackdriver Logging.
Learn how to configure Cloud Functions for Firebase to relay document changes in Cloud Firestore as configuration updates for Cloud IoT Core Devices.