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)


Scaling involves adjusting the number of resources utilized to handle user requests, and it can be achieved through either manual or automatic means. Manual scaling entails an administrator manually modifying the resource scale, whereas autoscaling involves resources dynamically increasing or decreasing based on environmental and ecosystem events, such as CPU and memory availability.

Scaling can be achieved in various ways, including scaling up/down and scaling in/out, each serving different purposes:

  • Scaling up: Scaling up refers to increasing the capacity of individual resources. It involves upgrading the hardware or configurations of existing resources to handle higher workloads, such as adding more memory or processing power to a virtual machine. Scaling up is suitable when applications require enhanced performance or require more resources within a single instance.
  • Scaling down: Scaling down involves reducing the capacity of resources to optimize costs...