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Sustainable Cloud Development. Optimize cloud workloads for environmental impact in the GenAI era
Parth Girish Patel, Ishneet Kaur Dua, Steven David
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.
In today's dynamic landscape, crafting robust and scalable Java web applications presents formidable challenges. Spring Boot emerges as the leading framework for web and microservices development, featuring a dynamic ecosystem and seamless integrations to address a spectrum of scenarios, from scaling apps on the cloud to deploying them to production. In this book, you’ll explore its streamlined, convention-over-configuration approach, simplifying application development.You’ll start by covering recipes showcasing Spring Boot's features. As you progress, you’ll understand how it helps streamline application development while staying ahead of technology trends. The book helps you grasp concepts effectively, explores basic REST APIs, shows you how to escalate to advanced scenarios, and tackle common cloud application challenges like security, scalability, performance optimization, and automated deployments. Dedicated sections are designed to help you stay ahead of the curve with recipes that delve into the latest trends such as containers, observability, native images, DevOps, test automation, and microservices, ensuring your applications align with evolving industry standards.By the end of this book, you’ll be able to build and automate the deployment of a scalable and high-performing distributed solution using Spring Boot 3.
Essential Linux Commands. 100 Linux commands every system administrator should know
The role of a system administrator is ever-evolving, with the Linux command line at its core. This makes Linux command-line mastery an essential skill to demonstrate your ability to efficiently manage and maintain systems efficiently. Essential Linux Commands addresses a diverse range of topics, including package management, file manipulation, networking strategies, system monitoring, and diagnostic tools. Each command is intricately explained to eliminate any ambiguity, ensuring ease of implementation in real-world scenarios.This book explains how to use SELinux to maintain security, run Linux machines on AWS Cloud, and transfer and download files to remote systems. With the help of practical examples and use cases, you’ll not only gain a thorough understanding of a command’s syntax but also grasp its functional breadth and limitations. The book also explores commands frequently used by system administrators to check network card statistics and firewall rules.Whether you’re a beginner or an experienced administrator, this book is an invaluable resource, filling in the gaps in your skill set and helping you improve your skills and expertise in Linux administration.
Many organizations are embracing cloud technology to remain competitive, but implementing and adopting development processes while modernizing a cloud-based ecosystem can be challenging.Strategizing Continuous Delivery in Cloud helps you modernize continuous delivery and achieve infrastructure-application convergence in the cloud. You’ll learn the differences between cloud-based and traditional delivery approaches and develop a tailored strategy. You’ll discover how to secure your cloud delivery environment, ensure software security, run different test types, and test in the pre-production and production stages.You’ll also get to grips with the prerequisites for onboarding cloud-based continuous delivery for organizational and technical aspects. Then, you’ll explore key aspects of readiness to overcome core challenges in your cloud journey, including GitOps, progressive delivery controllers, feature flagging, differences between cloud-based and traditional tools, and implementing cloud chaos engineering.By the end of this book, you’ll be well-equipped to select the right cloud environment and technologies for CD and be able to explore techniques for implementing CD in the cloud.
LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential
LLM Prompt Engineering For Developers begins by laying the groundwork with essential principles of natural language processing (NLP), setting the stage for more complex topics. It methodically guides readers through the initial steps of understanding how large language models work, providing a solid foundation that prepares them for the more intricate aspects of prompt engineering.As you proceed, the book transitions into advanced strategies and techniques that reveal how to effectively interact with and utilize these powerful models. From crafting precise prompts that enhance model responses to exploring innovative methods like few-shot and zero-shot learning, this resource is designed to unlock the full potential of language model technology.This book not only teaches the technical skills needed to excel in the field but also addresses the broader implications of AI technology. It encourages thoughtful consideration of ethical issues and the impact of AI on society. By the end of this book, readers will master the technical aspects of prompt engineering & appreciate the importance of responsible AI development, making them well-rounded professionals ready to focus on the advancement of this cutting-edge technology.
Software projects start as brand-new greenfield projects, but invariably become muddied in technical debt far sooner than you’d expect. In Refactoring with C#, you'll explore what technical debt is and how it arises before walking through the process of safely refactoring C# code using modern tooling in Visual Studio and more recent C# language features using C# 12 and .NET 8. This book, written by a Microsoft MVP, will guide you through the process of refactoring safely through advanced unit testing with XUnit and libraries like Moq, Snapper, and Scientist .NET. You'll explore maintainable code through SOLID principles and defensive coding techniques made possible in newer versions of C#. You'll also find out how to run code analysis and write custom Roslyn analyzers to detect and resolve issues unique to your code.The nature of coding is changing, and you'll explore how to use AI with the GitHub Copilot Chat to refactor, test, document, and generate code before ending with a discussion about communicating technical debt to leadership and getting organizational buy-in to refactor your code in enterprise organizations and in agile teams.By the end of this book, you'll understand the nature of refactoring and see how you can safely, effectively, and repeatably pay down the technical debt in your application while adding value to your business.
Stuart Butler, Tom Oliver, Christopher J. Headleand
Design patterns serve as a toolkit of techniques and practices that enable you to write code that’s not only faster, but also more manageable. With this book, you’ll explore a range of design patterns and learn how to apply them to projects developed in Unreal Engine 5.You’ll begin by delving into the foundational principles of coding and develop a solid understanding of the concepts, challenges, and benefits of using patterns in your code. As you progress, you’ll identify patterns that are woven into the core of Unreal Engine 5 such as Double Buffer, Flyweight, and Spatial Partitioning, followed by some of the existing tool sets that embody patterns in their design and usage including Component, Behavior Tree, and Update.In the next section of the book, you’ll start developing a series of gameplay use cases in C++ to implement a variety of design patterns such as Interface and Event-based Observers to build a decoupled communications hierarchy. You’ll also work with Singleton, Command, and State, along with Behavioral Patterns, Template, Subclass Sandbox, and Type Object. The final section focuses on using design patterns for optimization, covering Dirty Flag, Data Locality, and Object Pooling.By the end, you’ll be proficient in designing systems with the perfect C++/Blueprint blend for maintainable and scalable systems.
This book provides a thorough introduction to Python, starting with basic operations like arithmetic and variable creation. As you progress, you'll delve into more complex topics such as loops, conditionals, functions, and object-oriented programming. By the end, you'll be able to write Python code and use libraries like Pandas to manipulate data efficiently. Practical challenges and exercises help solidify your learning. It’s designed to be engaging and easy to follow, making the Python learning experience as enjoyable as it is informative. As you build your skills, you will also gain hands-on experience by tackling coding exercises that reinforce each concept. Whether you're new to programming or looking to sharpen your Python skills, this book will guide you through every essential aspect of the language, preparing you for real-world applications.