Book Image

Azure for Developers. - Second Edition

By : Kamil Mrzygłód
5 (1)
Book Image

Azure for Developers. - Second Edition

5 (1)
By: Kamil Mrzygłód

Overview of this book

Microsoft Azure is currently one of the fastest growing public cloud service providers thanks to its sophisticated set of services for building fault-tolerant and scalable cloud-based applications. This second edition of Azure for Developers will take you on a journey through the various PaaS services available in Azure, including Azure App Service, Azure Functions, and Azure SQL Databases, showing you how to build a complete and reliable system with ease. Throughout the book, you’ll discover ways to enhance your skills when building cloud-based solutions leveraging different SQL/NoSQL databases, serverless and messaging components, containerized solutions, and even search engines such as Azure Cognitive Search. That’s not all!! The book also covers more advanced scenarios such as scalability best practices, serving static content with Azure CDN, and distributing loads with Azure Traffic Manager, Azure Application Gateway, and Azure Front Door. By the end of this Azure book, you’ll be able to build modern applications on the Azure cloud using the most popular and promising technologies to make your solutions reliable, stable, and efficient.
Table of Contents (32 chapters)
Part 1: PaaS and Containers
Part 2: Serverless and Reactive Architecture
Part 3: Storage, Messaging, and Monitoring
Part 4: Performance, Scalability, and Maintainability

Defining available input and output types

Azure Stream Analytics offers seamless integration with some native Azure services, such as Azure Event Hubs, Azure IoT Hub, or Azure Blob Storage. Additionally, it can be easily configured to output data to a SQL database, blob, or even anAzure Data Lake store. To leverage those possibilities, you will have to define both input and output types you are interested in. This allows for data to be easily ingested (in the form of a stream), so a job that you will write can work on thousands of events, analyzing and processing them. In this section, you will learn how to get started with Azure Stream Analytics and define both input and output.

Creating an Azure Stream Analytics instance in the Azure portal

To get started, you will need to create an instance of Azure Stream Analytics. To do so, you must click on + Create a resource and search for Stream Analytics job. This will...