Book Image

Azure Integration Guide for Business

By : Joshua Garverick, Jack Lee, Mélony Qin, Trevoir Williams
Book Image

Azure Integration Guide for Business

By: Joshua Garverick, Jack Lee, Mélony Qin, Trevoir Williams

Overview of this book

Azure Integration Guide for Business is essential for decision makers planning to transform their business with Microsoft Azure. The Microsoft Azure cloud platform can improve the availability, scalability, and cost-efficiency of any business. The guidance in this book will help decision makers gain valuable insights into proactively managing their applications and infrastructure. You'll learn to apply best practices in Azure Virtual Network and Azure Storage design, ensuring an efficient and secure cloud infrastructure. You'll also discover how to automate Azure through Infrastructure as Code (IaC) and leverage various Azure services to support OLTP applications. Next, you’ll explore how to implement Azure offerings for event-driven architectural solutions and serverless applications. Additionally, you’ll gain in-depth knowledge on how to develop an automated, secure, and scalable solutions. Core elements of the Azure ecosystem will be discussed in the final chapters of the book, such as big data solutions, cost governance, and best practices to help you optimize your business. By the end of this book, you’ll understand what a well-architected Azure solution looks like and how to lead your organization toward a tailored Azure solution that meets your business needs.
Table of Contents (15 chapters)

Cost optimization

Azure SQL previously had just one pricing model (a model based on DTUs) but an alternative pricing model based on vCores has also been launched. The pricing model is selected based on the customer’s requirements. The DTU-based model is selected when the customer wants simple and preconfigured resource options. On the other hand, the vCore-based model offers the flexibility to choose compute and storage resources. It also provides control and transparency. There is also a cost model unique to Cosmos DB called request units (RUs), which are similar to the other two models in terms of blending CPU, memory, and IOPS but differ with respect to factors such as the API model being used, regional deployments, object size, data consistency, and the property count of the object(s).

Let’s take a closer look at each of these models.

DTU-based pricing

The DTU is the smallest unit of performance measure for Azure SQL Database. Each DTU corresponds to a certain...