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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
Tools
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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

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...

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