000			04278nam a22003017a 4500
003			OSt
005			20260520154601.0
008			260520b |||||||| |||| 00| 0 eng d
020			_a9781836208419
020			_a1836208413
041			_aeng
082			_a004.6782 PAT-S
100			_aPatel, Parth Girish _979338
245			_aSustainable cloud development : _boptimize cloud workloads for environmental impact in the GenAI era
260			_aBirmingham, UK _bPackt Publishing _c2025
300			_axx, 258p.
500			_aReduce cloud costs and carbon footprint with sustainable design, GenAI, and green architecture principles 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
500			_aWho 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.
505			_aTable of Contents - 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
520			_aWritten 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
650			_aCloud computing. _979339
650			_aGenerative AI. _979340
650			_aSustainable computing. _979341
700			_aDua, Ishneet Kaur _979342
700			_aDavid, Steven _979343
942			_cBK
999			_c199996 _d199996