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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

Other storage optimization initiatives

In this section, we will cover other initiatives that can be relevant to storage optimization but that don’t fit neatly into the previous sections, such as backups and log storage optimization.

Log storage optimization

The idea of observability has made an impact in the IT world for a few years now.

Using observability platforms, we are able to collect performance telemetry such as metrics, as well as logs and complete traces of what happens on our systems. Once all the information is in place, we can then build dashboards and reports with all this information, providing great value for technical teams and stakeholders.

However, having these platforms is a double-edged sword, as this huge amount of data and information can cause storage costs to go through the roof if not controlled properly.

There are many flavors of observability platforms, including having IaaS solutions such as ELK (Elastic Search + Logstash + Kibana...

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