Book Image

Optimizing Microsoft Azure Workloads

By : Rithin Skaria
Book Image

Optimizing Microsoft Azure Workloads

By: Rithin Skaria

Overview of this book

It’s easy to learn and deploy resources in Microsoft Azure, without worrying about resource optimization. However, for production or mission critical workloads, it’s crucial that you follow best practices for resource deployment to attain security, reliability, operational excellence and performance. Apart from these aspects, you need to account for cost considerations, as it’s the leading reason for almost every organization’s cloud transformation. In this book, you’ll learn to leverage Microsoft Well-Architected Framework to optimize your workloads in Azure. This Framework is a set of recommended practices developed by Microsoft based on five aligned pillars; cost optimization, performance, reliability, operational excellence, and security. You’ll explore each of these pillars and discover how to perform an assessment to determine the quality of your existing workloads. Through the book, you’ll uncover different design patterns and procedures related to each of the Well-Architected Framework pillars. By the end of this book, you’ll be well-equipped to collect and assess data from an Azure environment and perform the necessary upturn of your Azure workloads.
Table of Contents (14 chapters)
1
Part 1: Well-Architected Framework Fundamentals
4
Part 2: Exploring the Well-Architected Framework Pillars and Their Principles
10
Part 3: Assessment and Recommendations

Improving Applications with Performance Efficiency

Performance efficiency is the third pillar of the Well-Architected Framework (WAF). It refers to the ability of your solution to meet the business needs and demands placed on it by the consumers in an efficient way. In on-premises, we implement oversized servers or virtual machines (VMs) to manage unexpected load and demand. But in the cloud, this approach is not feasible; the main reason for that is the cost. As the chapter title says, we need to adopt an efficient approach to make sure that the performance of the workloads is not degraded. Before we plan to architect solutions in Azure, we should set aside the patterns we used to follow on-premises. One thing that hasn’t changed compared to on-premises is you still need to forecast and anticipate a load increase in the cloud in order to meet the business requirements. Anticipating the load can help you optimize your workloads ahead of time and improve the user experience.

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