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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

Implementing Database Optimization

A database is, in essence, a platform where data can be organized, stored, and accessed electronically.

There is no denying that databases are one of the most used ways of storing information for enterprise applications. With the rise of big data, data science, and machine learning, their popularity has skyrocketed, making them a great asset to build reports, store information, and build all kinds of projects around them.

Such popularity is a double-edged blade because if databases are not used in an optimal way, the cost can increase exponentially, especially if their key cost drivers are not taken into account from the solution design phase.

With the rise of the public cloud, you can spin a database for your data in minutes, allowing a lot of agility for projects and IT teams, but it is also as easy to fall into common mistakes if important details are overlooked.

There are also a lot of different types of databases, each with strengths...

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