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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

Case study – Peopledrift Inc., a healthcare company

We are a healthcare company specializing in providing supporting IT services to hospitals and doctors’ offices all around the world. Our Online Appointment Scheduling (OAS) platform is highly rated by the healthcare industry, and we are the leader in this space. Three years ago, we acquired a small transport and logistics company now powered by our DeliverNow online platform, which delivers vaccines at speed, accuracy, and scale to hospitals, pharmacy stores, and doctors’ offices.

In the past year, we strategically moved out of a data center and selected Microsoft Azure as a strategic cloud provider for all our workloads. We migrated a total of 150 internal and customer-facing applications and 90 relational and non-relational, extremely large databases. The estimated capacity numbers provided by engineering grew significantly as we expanded our business to new horizons. This has caused us to continuously provision...

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