Book Image

Migrating Applications to the Cloud with Azure

By : Sjoukje Zaal, Amit Malik, Sander Rossel, Jason Marston, Mohamed Waly, Stefano Demiliani
Book Image

Migrating Applications to the Cloud with Azure

By: Sjoukje Zaal, Amit Malik, Sander Rossel, Jason Marston, Mohamed Waly, Stefano Demiliani

Overview of this book

Whether you are trying to re-architect a legacy app or build a cloud-ready app from scratch, using the Azure ecosystem with .NET and Java technologies helps you to strategize and plan your app modernization process effectively. With this book, you’ll learn how to modernize your applications by using Azure for containerization, DevOps, microservices, and serverless solutions to reduce development time and costs, while also making your applications robust, secure, and scalable. You will delve into improving application efficiency by using container services such as Azure Container Service, Azure Kubernetes Service (AKS), and more. Next, you will learn to modernize your application by implementing DevOps throughout your application development life cycle. You will then focus on increasing the scalability and performance of your overall application with microservices, before learning how to add extra functionality to your application with Azure serverless solutions. Finally, you’ll get up to speed with monitoring and troubleshooting techniques. By the end of this book, you will have learned how to use the Azure ecosystem to refactor, re-architect, and rebuild your web, mobile, and desktop applications.
Table of Contents (22 chapters)
Free Chapter
1
Planning Application Modernization
4
Implementing Containerization and DevOps in a Development Cycle
8
Building a Web and Microservices Architecture on Azure
12
Going Serverless and Deploying to the Cloud
17
Planning for Security, Availability, and Monitoring

Understanding Cosmos DB

Besides SQL databases, Azure has some Not Only SQL (NoSQL) options, with Cosmos DB being Microsoft's very own solution. Cosmos DB is only available in the cloud and no on-premises version currently exists. Like Azure SQL, Cosmos DB is a PaaS solution. The cool thing about Cosmos DB is that it has APIs for all the major NoSQL models out there: the key-value model, the document model, the graph model, and the wide column model.

The Cosmos DB document API matches the popular MongoDB database API and the wide column API matches the Apache Cassandra database API, meaning that you can easily move those databases to Cosmos DB and your software will continue to work. Additionally, Cosmos DB has a SQL API. This doesn't mean your data is stored in a relational model; it simply means that a SQL layer was added over a document database. While Cosmos...