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

Summary

In this chapter, we covered the third pillar of the WAF, that is, performance efficiency. We started the chapter by looking at the core principles of performance efficiency: design for scaling, performance testing, and performance monitoring. We then reviewed checklists of the core principles. The checklist for design included key areas such as application design, data management, and implementation principles. After that, we discussed performance testing and covered load testing, stress testing, and multi-region testing. Also, we explored different tools available for testing performance. If you incorporate these design and implementation principles into your Azure environment, you won’t need to worry about performance degradation ever again. The recommendation is to order your workloads based on priority and verify whether these principles are applied to the workloads. In the last section, we covered monitoring. Without monitoring, we will not be able to detect performance...