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Efficient Cloud FinOps

You're reading from   Efficient Cloud FinOps A practical guide to cloud financial management and optimization with AWS, Azure, and GCP

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781805122579
Length 446 pages
Edition 1st Edition
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Authors (2):
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Danny Obando García Danny Obando García
Author Profile Icon Danny Obando García
Danny Obando García
Alfonso San Miguel Sánchez Alfonso San Miguel Sánchez
Author Profile Icon Alfonso San Miguel Sánchez
Alfonso San Miguel Sánchez
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1:Get Started with FinOps
2. Chapter 1: Introduction to FinOps Principles FREE CHAPTER 3. Chapter 2: Understanding How FinOps Fits into Cloud Governance 4. Part 2:Inform – How to Increase Cost Visibility
5. Chapter 3: Designing and Executing the Tagging and Naming Convention Strategies 6. Chapter 4: Estimating Cloud Solution Costs and Initiative Saving 7. Chapter 5: Improving Cost Visibility with Dashboards and Reports 8. Part 3:Optimize – How to Get the Most out of Cloud Resources
9. Chapter 6: Implementing IaaS Compute Optimization 10. Chapter 7: Implementing PaaS and Other Compute Optimization Initiatives 11. Chapter 8: Implementing Database Optimization 12. Chapter 9: Implementing Storage Optimization 13. Part 4:Operate – How to Set Up a Governance Model around Cloud Costs
14. Chapter 10: Designing and Implementing FinOps KPIs 15. Chapter 11: Defining New FinOps Roles and Processes 16. Part 5:Hands-On Cost Optimization with Real-Life Use Cases and More
17. Chapter 12: Case Studies for Cost Optimization 18. Chapter 13: Wrapping up and Looking ahead 19. Index 20. Other Books You May Enjoy

Relational versus non-relational/NoSQL databases

There are mainly two types of databases, and choosing one over the other depends on how data is formatted.

On one hand, we have structured data, based on rows and columns, as we have in Excel or CSV files, in which data always has a pattern or predefined format, thus it is often easier to read or search. On the other, we have unstructured data, which is data that does not follow a predefined data model and is not limited to a set of rows or columns, such as images, videos, and business documents such as contracts.

Organizations use structured data on a day-to-day basis, to keep track of business or financial processes or human resources, for example. But there are also a lot of use cases for unstructured data as well, such as social media, IoT, and invoice management, to begin with. For all these use cases, unstructured data is needed, and huge volumes of data can be generated due to this fact.

Different types of data require...

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