Sustainable Cloud Development: Optimize cloud workloads for environmental impact in the GenAI era-finelybook

Sustainable Cloud Development: Optimize cloud workloads for environmental impact in the GenAI era

Author: Parth Girish Patel , Ishneet Kaur Dua , Steven David

Publisher finelybook 出版社:‏ ‎ Packt Publishing

Edition 版本:‏ N/A

Publication Date 出版日期:‏ 2025-03-28

Language 语言: English

Print Length 页数: 276 pages

ISBN-10: 1836208413

ISBN-13: 9781836208419

Book Description

Reduce your carbon footprint, optimize workloads, and align with organizational environmental goals by leveraging carbon footprint–friendly software design, generative AI, and cost-saving strategies

Key Features

Discover sustainable cloud practices, including carbon footprint analysis, optimization, and security
Explore best practices, insights, and case studies for implementing sustainable solutions like generative AI workloads
Learn cost-saving strategies through efficient resource use and business alignment
Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Written by three seasoned AWS solution architects, sustainability mentors, and thought leaders, Sustainable Cloud Development equips cloud professionals with actionable strategies to design, build, and optimize workloads that minimize environmental impact, while maintaining performance and scalability.

This book combines practical insights, best practices, and case studies to help you align your cloud operations with global sustainability goals. From foundational concepts such as carbon footprint measurement to advanced techniques such as sustainable software architecture, generative AI lifecycle optimization, and cost-efficient cloud practices, this book covers every aspect of sustainable cloud development. You’ll get to grips with key tools, including AWS Cost Explorer, for analyzing costs and usage over time to right-size deployments; auto scaling for automatically scaling compute resources dynamically based on demand; Amazon Trusted Advisor for reviewing optimization recommendations across critical areas such as cost, performance, and security; and Amazon CloudWatch for detailed monitoring and threshold-based alerting around all resources and applications.

This book serves as a practical blueprint for optimizing your cloud workloads for both high performance and a minimal environmental footprint.

What you will learn

Explore the principles of sustainable cloud computing and application performance analysis
Discover best practices for data lifecycle management, storage optimization, and networking efficiency
Understand and analyze the carbon footprint of cloud applications
Implement sustainable software architecture and coding patterns
Optimize the lifecycle and consumption of generative AI models
Align cloud services with sustainability goals and global regulations
Explore eco-friendly generative AI practices, including efficient model deployment

Who this book is for

This book is for cloud architects, engineers, DevOps professionals, and IT sustainability specialists who want to align their cloud practices with environmental goals. It also caters to software developers eager to build green, efficient solutions. A basic understanding of cloud services and IT infrastructure is necessary.

Foundations of Sustainable Cloud Computing and Carbon Footprint Analysis
Energy and Compute Efficiency in Cloud Infrastructure
Sustainable Data Management and Storage Optimization
Network Optimization for Sustainability
Security, Observability, and Monitoring in Sustainable Cloud Development
Sustainable Software Architecture and Design Patterns
Sustainable DevOps and CI/CD Practices
Sustainable DevOps, Container, and CI/CD Practices
Cost Optimization through Sustainable Operation
Optimizing the GenAI Lifecycle for Sustainability
Optimizing the Consumption of GenAI Foundational Models
Case Studies and Best Practices
Pillars of a Sustainable Technology Future

About the Author

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.

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.

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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PDF, EPUB | 25 MB | 2025-05-07

Sustainable Cloud Development: Optimize cloud workloads for environmental impact in the GenAI era