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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
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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

Forecasting the Future Spend

Financial forecasting estimates future financial outcomes using historical data. FinOps teams are tasked with providing near-accurate data on past cloud service usages and charges so that the finance team can incorporate it in their annual spend forecasting exercise. Forecasting allows the finance team to properly allocate the budget for IT. Typically, forecasting is done annually, but for more mature organizations, it is regularly updated monthly or quarterly when there is a change in operations, business plans, or economic conditions. There are various ways in Azure to obtain past and current usage and charges for such services.

The usage dataset can be extremely large and requires proper solutions to obtain, store, model, and query the data. Forecasting based on past usage can be accomplished by Power BI’s native forecasting capabilities, while advanced forecasting by application or business unit requires extra steps to prepare and model the...

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