Book Image

Implementing Azure Cloud Design Patterns

By : Oliver Michalski, Stefano Demiliani
Book Image

Implementing Azure Cloud Design Patterns

By: Oliver Michalski, Stefano Demiliani

Overview of this book

A well designed cloud infrastructure covers factors such as consistency, maintenance, simplified administration and development, and reusability. Hence it is important to choose the right architectural pattern as it has a huge impact on the quality of cloud-hosted services. This book covers all Azure design patterns and functionalities to help you build your cloud infrastructure so it fits your system requirements. This book initially covers design patterns that are focused on factors such as availability and data management/monitoring. Then the focus shifts to complex design patterns such as multitasking, improving scalability, valet keys, and so on, with practical use cases. The book also supplies best practices to improve the security and performance of your cloud. By the end of this book, you will thoroughly be familiar with the different design and architectural patterns available with Windows Azure and capable of choosing the best pattern for your system.
Table of Contents (16 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Chapter 3. Data Storing and Processing

In the first chapter, I tried to give you an initial insight into the Azure platform with a comprehensive introduction. In the second chapter, we then followed with the question: Which technologies should we use?

The answers to this question fall into the following two areas:

  • Compute: Compute is the area in which you deploy (host) your applications. This can, for example, be done as an Azure VM, but it is also conceivable within a microservices architecture.
  • Data storing and processing: This area is easily explained. No application can exist today without being able to store and, if necessary, process data. This can, for example, be done by Azure Storage, but also by a more complex solution such as Azure Data Lake.

In the last chapter, we dealt with solutions in the area of compute. In this chapter, we will look at solutions in the area of data storing and processing.

In the computing area, the decision is made quickly—you know which solution you want to...