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

Testing for performance efficiency checklist

Before we publish our application, we need to assess and validate whether it can manage the expected usage. Besides that, the application should be configured to manage unexpected load using scaling principles. Using the tests, we will be able to capture issues and resolve them before we move the application to production.

With the help of performance testing, we can ensure our applications are efficient, responsive, and scalable and the performance of the application meets the business needs. The diagnostic data that we collect as part of the tests can be used to confirm whether our application can withstand the load, and this is essential to identify bottlenecks. As you know, bottlenecks happen when there is a disruption in the data flow due to insufficient capacity to oversee the load.

We have performance testing, load testing, and stress testing. We can consider performance testing as a superset of load and stress testing. The...