In this module, you work with a group to design a solution for processing vehicle photos in near real-time, as they are uploaded to a data lake, using serverless technologies on Azure. The license plate data must be extracted and stored in a highly available NoSQL data store for exporting. The data export process is orchestrated by a serverless Azure component that coordinates exporting new license plate data to file storage and sending notifications as needed. You will also configure a Continuous Deployment process to publish new changes to Function Apps automatically. Finally, the entire processing pipeline will need to be monitored, with particular attention paid to components scaling to meet processing demand. At the end of this module, you will have greater insight into how best to take advantage of serverless architectures. You will understand better how to design highly scalable and cost-effective solutions that require very little code and virtually no infrastructure compared to traditional hosted web applications and services.

In this module, you implement an end-to-end solution using a supplied sample based on Microsoft Azure Functions, Azure Cosmos DB, Azure Event Grid, and related services. The scenario will include implementing compute, storage, workflows, and monitoring using various components of Microsoft Azure. You can implement the hands-on lab on your own. However, it is highly recommended to pair up with other members at the lab to model a real-world experience and to allow each member to share their expertise for the overall solution. At the end of this module, you will have confidence in designing, developing, and monitoring a serverless solution that is resilient, scalable, and cost-effective.