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

Working with the Redis cache database

Redis is another NoSQL database that is available in Azure. It's a key-value store that's optimized for performance. It achieves this by working with an in-memory dataset. Redis can persist data to disk by either dumping the dataset to disk every once in a while or by appending each command to a log. In contrast to most database systems, persistence is optional. Because of this lightning-fast in-memory approach, Redis is very well suited for caching data. Redis works best on Linux systems, which is no problem for Azure since Microsoft developed a port for 64-bit Windows systems.

Creating a Redis cache

Let's create a Redis Cache in the Azure portal:

  1. Either find Redis Caches...