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FinOps Handbook for Microsoft Azure

You're reading from   FinOps Handbook for Microsoft Azure Empowering teams to optimize their Azure cloud spend with FinOps best practices

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781801810166
Length 256 pages
Edition 1st Edition
Tools
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Author (1):
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Maulik Soni Maulik Soni
Author Profile Icon Maulik Soni
Maulik Soni
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1: Inform
2. Chapter 1: Bringing Visibility and Allocating Cost FREE CHAPTER 3. Chapter 2: Benchmarking Current Spend and Establishing Budgets 4. Chapter 3: Forecasting the Future Spend 5. Chapter 4: Case Study – Beginning the Azure FinOps Journey 6. Part 2: Optimize
7. Chapter 5: Hitting the Goals for Usage Optimization 8. Chapter 6: Rate Optimization with Discounts and Reservations 9. Chapter 7: Leveraging Optimization Strategies 10. Chapter 8: Case Study - Realize Savings and Apply Optimizations 11. Part 3: Operate
12. Chapter 9: Building a FinOps Culture 13. Chapter 10: Allocating Costs for Containers 14. Chapter 11: Metric-Driven Cost Optimization 15. Chapter 12: Developing Metrics for Unit Economics 16. Chapter 13: Case Study – Implementing Metric-Driven Cost Optimization and Unit Economics 17. Index 18. Other Books You May Enjoy

To get the most out of this book

You will need to have a basic understanding of Azure cloud services and architecture as well as cloud cost management principles, financial management concepts, and the Azure Cost Management tool. Having access to usage and billing data for your Azure resources is also helpful to analyze your cloud cost.

Software/hardware covered in the book

Operating system requirements

Microsoft Azure portal access

Windows, macOS, or Linux

Microsoft Power BI Desktop

DAX Studio

Microsoft Power Automate

Azure SQL

AKS

Kubecost

You will need a Microsoft Power BI Pro or Premium license to run the data-driven alert feature described in Chapter 11, Metric-Driven Cost Optimization.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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