Sustainable Cloud Development Optimize by Parth Girish (9 results)
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Paperback or Softback. Condition: New. Sustainable Cloud Development: Optimize cloud workloads for environmental impact in the GenAI era. Book.
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Taschenbuch. Condition: Neu. Sustainable Cloud Development | Optimize cloud workloads for environmental impact in the GenAI era | Parth Girish Patel (u. a.) | Taschenbuch | Englisch | 2025 | Packt Publishing | EAN 9781836208419 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]…de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reduce cloud costs and carbon footprint with sustainable design, GenAI, and green architecture principlesKey Features: Discover sustainable cloud practices, including carbon footprint analysis, optimization, and security Explore best pra…ctices, 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 Elektronisches BuchBook 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 deploymentWho 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.Table 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.
