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Sustainable Cloud Development

You're reading from   Sustainable Cloud Development Optimize cloud workloads for environmental impact in the GenAI era

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Product type Paperback
Published in Mar 2025
Publisher Packt
ISBN-13 9781836208419
Length 276 pages
Edition 1st Edition
Languages
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Authors (3):
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Parth Girish Patel Parth Girish Patel
Author Profile Icon Parth Girish Patel
Parth Girish Patel
Ishneet Kaur Dua Ishneet Kaur Dua
Author Profile Icon Ishneet Kaur Dua
Ishneet Kaur Dua
Steven David Steven David
Author Profile Icon Steven David
Steven David
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1: Introduction to Sustainability and Carbon Footprints in the Cloud FREE CHAPTER
2. Chapter 1: Foundation of Sustainable Cloud Computing and Carbon Footprint Analysis 3. Chapter 2: Energy and Compute Efficiency in Cloud Infrastructure 4. Part 2: Optimizing Cloud Infrastructure Using Sustainable Architectural Practices
5. Chapter 3: Sustainable Data Management and Storage Optimization 6. Chapter 4: Network Optimization for Sustainability 7. Chapter 5: Security, Observability, and Monitoring in Sustainable Cloud Development 8. Chapter 6: Sustainable Software Architecture and Design Patterns 9. Chapter 7: Sustainable Environment Alignment with Business Usage Patterns 10. Chapter 8: Sustainable DevOps and CI/CD Practices 11. Chapter 9: Cost Optimization through Sustainable Operation 12. Part 3: Sustainable Architectural Patterns for GenAI Workloads
13. Chapter 10: Optimizing the GenAI Lifecycle for Sustainability 14. Chapter 11: Optimizing the Consumption of GenAI Foundational Models 15. Chapter 12: Case Studies and Best Practices 16. Chapter 13: Pillars of a Sustainable Technology Future 17. Index 18. Other Books You May Enjoy

Observability and monitoring

Observability and monitoring are critical principles that enable identifying resource-intensive components within a system, allowing for targeted optimization efforts. Monitoring involves collecting and displaying data to measure performance against standards, identify deviations, and provide feedback. Observability involves analyzing a system’s inputs and outputs to understand its health and diagnose issues.

For instance, by observing the data lifecycle and cleanup of video files, a video streaming company was able to see that 13 petabytes of their data were not needed. In fact, due to a flaw in their clean-up scripts, the company was holding onto data that should have been deleted a long time ago. Often it is through the insights of system observability that application owners gain a deeper understanding of the solution, which leads to many benefits, including making the solution more sustainable.

To identify resource-intensive components...

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