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Optimizing Microsoft Azure Workloads

You're reading from   Optimizing Microsoft Azure Workloads Leverage the Well-Architected Framework to boost performance, scalability, and cost efficiency

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781837632923
Length 240 pages
Edition 1st Edition
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Author (1):
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Rithin Skaria Rithin Skaria
Author Profile Icon Rithin Skaria
Rithin Skaria
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Table of Contents (14) Chapters Close

Preface 1. Part 1: Well-Architected Framework Fundamentals
2. Chapter 1: Planning Workloads with the Well-Architected Framework FREE CHAPTER 3. Chapter 2: Distinguishing between the Cloud Adoption Framework and Well-Architected Framework 4. Part 2: Exploring the Well-Architected Framework Pillars and Their Principles
5. Chapter 3: Implementing Cost Optimization 6. Chapter 4: Achieving Operational Excellence 7. Chapter 5: Improving Applications with Performance Efficiency 8. Chapter 6: Building Reliable Applications 9. Chapter 7: Leveraging the Security Pillar 10. Part 3: Assessment and Recommendations
11. Chapter 8: Assessment and Remediation 12. Index 13. Other Books You May Enjoy

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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