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Sustainable Cloud Development

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

Product type Paperback

Published in Mar 2025

Publisher Packt

ISBN-13 9781836208419

Length 276 pages

Edition 1st Edition

Languages

Python

Concepts

Cloud Computing

Authors (3):

Parth Girish Patel

Ishneet Kaur Dua

Steven David

View More author details

Table of Contents (19) Chapters

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

Why subscribe?

18. Other Books You May Enjoy

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Authors (3)

Parth Girish Patel

Parth Girish Patel

Parth Girish Patel is a seasoned architect with 17 years of experience in management consulting and cloud computing. At AWS, he specializes in AI/ML, generative AI, sustainability, and cloud-native solutions. His career journey from software engineering to consulting at Deloitte has given him a unique blend of business and technical expertise. As an AWS solutions architect, Parth guides customers through cloud adoption and AI implementation, offering insights into scalable architectures and end-to-end ML solutions. Proficient in AWS, Azure, GCP, and various ML skills, he tackles diverse technical challenges. Parth is passionate about sustainable and ethical AI, emphasizing transparency and environmental consciousness. He mentors teams and individuals, fostering innovation and driving positive impact across organizations and society.

See other products by Parth Girish Patel

Ishneet Kaur Dua

Ishneet Kaur Dua

Ishneet Kaur Dua is a seasoned solutions architect with over a decade of experience in generative AI, machine learning, environmental sustainability, and cloud computing. She excels in designing resilient systems on major cloud platforms such as AWS, GCP, and Azure. Ishneet's expertise spans low-code ML, computer vision, NLP, and predictive analytics. As an advocate for ethical AI, she ensures fairness and transparency while promoting accessibility through open source initiatives. A thought leader in AI/ML, cloud architecture, and sustainability, Ishneet speaks at global tech conferences and mentors women in STEM. Her vision is to harness technology for positive change, addressing real-world challenges and creating opportunities for all.

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Steven David

Steven David

Steven David has over 25 years of experience in the technology industry, spanning sectors such as energy, retail, financial services, and manufacturing. His expertise lies in adopting cutting-edge technologies to drive business value, leading to extensive hands-on experience in designing and implementing custom solutions integrated with third-party products. At AWS for the past seven years, Steven has specialized in application modernization and sustainability, shaping containerization strategies and leading initiatives in the western Americas region. Passionate about mentoring emerging talent, he supports diverse perspectives and believes sustainable IT will significantly impact future generations by laying the groundwork for innovative design patterns in technology.

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