IL - Cloud Workshop: IoT and the Smart City
In this workshop you will use the unique benefits of Internet of Things (IoT) to build a smart city solution to help improve traffic and public transportation in New York City. Use a combination of the power of the cloud, along with IoT Edge devices to provide anomaly detection of city buses, engine anomalies and aggressive driving detection, location broadcasting to update bus route status, and to send traffic information to help inform the timing of traffic lights. Traffic lights will also receive new IoT devices that can help detect maintenance and performance issues, such as voltage irregularities. Easily view all this information through a centralized reporting dashboard provided by Azure Time Series Insights. Use the IoT Remote Monitoring starter solution to manage and simulate IoT devices, set alerts, and view data on a map.
- Duration: 1 Day
- Level: 300
Who this course is designed for
- This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
- By the end of this workshop, you will learn to use IoT Hub to manage IoT devices, configure and run the IoT Remote Monitoring starter solution to provision, manage, and simulate telemetry for IoT devices via IoT Hub SDKs, use Azure IoT Edge to collect vehicle telemetry data, detect anomalies, and send the summarized data to Azure IoT Hub as needed. In addition, you'll create a custom endpoint in IoT Hub to route critical alerts to a Service Bus Queue, create an Azure function that extracts critical alerts from the Service Bus Queue and stores them in Cosmos DB, as well as use Azure Time Series Insights to store, visualize, and query the large amounts of time series data generated by various IoT devices and conduct root-cause analysis and anomaly detection.
- Working knowledge of Azure
Module 1: Whiteboard Design Session - IoT and the Smart City
Review the customer case study
Design a proof of concept solution
Present the solution
Module 2: Hands-on Lab - IoT and the Smart City
Set up IoT Remote Monitoring solution environment
Provision additional Azure services
Create bus and traffic light simulated devices, and add alerts and filters
Create IoT Edge device and custom modules
Create an Azure Function to add critical engine alerts to the Service Bus Queue
Run a console app to view critical engine alerts from the Service Bus Queue
Create an Azure Function to ingest critical engine alerts and store them in Cosmos DB
View critical engine alerts in the IoT Remote Monitoring web interface
Add a tag to IoT Edge Device Twin
View all data in Azure Time Series Insights