Book Image

Azure for Developers. - Second Edition

By : Kamil Mrzygłód
Book Image

Azure for Developers. - Second Edition

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)
1
Part 1: PaaS and Containers
8
Part 2: Serverless and Reactive Architecture
14
Part 3: Storage, Messaging, and Monitoring
22
Part 4: Performance, Scalability, and Maintainability

Scaling Azure Cosmos DB

Scaling in Azure Cosmos DB works in a different way depending on your capacity mode, as illustrated in the following screenshot:

Figure 19.12 – Selecting capacity mode in Azure Cosmos DB

The difference is quite crucial as, depending on the selected mode, Azure Cosmos DB will be scaled differently, as outlined here:

  • For Provisioned throughput, you manually select provisioned capacity for your containers. If you want to incorporate some automation, you can use the Autopilot feature for dynamic capacity selection.
  • Serverless mode automatically manages available throughput for your containers.

As both capacity modes offer completely different logic for handling database load, you need to analyze the behavior of your application and apply what seems to suit it the most. For example, if you feel that you are unable to predict its performance, Serverless mode is a better fit. If you need geo-distribution, then...