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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

Monitoring

Modern applications have a lot of moving parts, and as the number of components increases, complexity also increases. With this complexity, we need to ensure that our system is monitored so that our components don’t fail and the team is notified in the event of an issue. Azure Monitor is your go-to service for all your monitoring needs. We can collect data from disparate sources and analyze them in Azure. Furthermore, we can set up notifications (e-mail, phone, and text), automation (Azure Logic Apps, Azure Functions, Azure Automation runbooks, and Webhooks), and integration using IT service management (ITSM) connectors.

You need to ask the following questions within your organization to develop a monitoring strategy:

  • Do you monitor your resources?
  • Do you have application code monitoring using detailed instrumentation?
  • Do you correlate application events across all application components?
  • Do you analyze collected data to spot issues and patterns...
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