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 Azure Batch

Azure Batch is a service that helps developers scale their workloads over VMs (Windows or Linux) or containers, without the need to manage the infrastructure. With Azure Batch, you can run large-scale, parallel, and HPC applications efficiently in the cloud. Batch computing is most commonly used for applications that regularly process, transform, or analyze large volumes of data. Typically, HPC applications that run on Azure Batch include deep learning applications, image rendering applications, media encoding applications, and Monte Carlo simulations. Azure Media Services uses Azure Batch internally for media encoding as well.

The Azure Batch service uses Azure compute as its infrastructure, which means that you can use both Windows or Linux VMs to host your applications or workloads. Azure uses the A8/A9 series VMs with...