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

Reduce cloud costs and carbon footprint with sustainable design, GenAI, and green architecture principlesKey FeaturesDiscover sustainable cloud practices, including carbon footprint analysis, optimization, and securityExplore best practices, insights, and case studies for implementing sustainable solutions like generative AI workloadsLearn cost-saving strategies through efficient resource use and business alignmentPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWritten 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 learnExplore the principles of sustainable cloud computing and application performance analysisDiscover best practices for data lifecycle management, storage optimization, and networking efficiencyUnderstand and analyze the carbon footprint of cloud applicationsImplement sustainable software architecture and coding patternsOptimize the lifecycle and consumption of generative AI modelsAlign cloud services with sustainability goals and global regulationsExplore eco-friendly generative AI practices, including efficient model deploymentWho this book is forThis 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.Table of ContentsFoundations of Sustainable Cloud Computing and Carbon Footprint AnalysisEnergy and Compute Efficiency in Cloud InfrastructureSustainable Data Management and Storage OptimizationNetwork Optimization for SustainabilitySecurity, Observability, and Monitoring in Sustainable Cloud DevelopmentSustainable Software Architecture and Design PatternsSustainable DevOps and CI/CD PracticesSustainable DevOps, Container, and CI/CD Practices Cost Optimization through Sustainable OperationOptimizing the GenAI Lifecycle for SustainabilityOptimizing the Consumption of GenAI Foundational ModelsCase Studies and Best PracticesPillars of a Sustainable Technology Future Read more