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Spring is a powerful and widely adopted framework for building scalable and reliable web applications in Java, complemented by Spring Boot, a popular extension to the framework that simplifies the setup and configuration of Spring-based applications. This book is an in-depth guide to harnessing Spring 6 and Spring Boot 3 for web development, offering practical knowledge of building modern robust web APIs and services.The book covers a wide range of topics that are essential for API development, including RESTful web service fundamentals, Spring concepts, and API specifications. It also explores asynchronous API design, security, designing user interfaces, testing APIs, and the deployment of web services. In addition to its comprehensive coverage, this book offers a highly contextual real-world sample app that you can use as a reference for building different types of APIs for real-world applications. This sample app will lead you through the entire API development cycle, encompassing design and specification, implementation, testing, and deployment.By the end of this book, you’ll have learned how to design, develop, test, and deploy scalable and maintainable modern APIs using Spring 6 and Spring Boot 3, along with best practices for bolstering the security and reliability of your applications and improving your application's overall functionality.
Are you a software developer, systems designer, or computer architecture student looking for a methodical introduction to digital device architectures, but are overwhelmed by the complexity of modern systems? This step-by-step guide will teach you how modern computer systems work with the help of practical examples and exercises. You’ll gain insights into the internal behavior of processors down to the circuit level and will understand how the hardware executes code developed in high-level languages.This book will teach you the fundamentals of computer systems including transistors, logic gates, sequential logic, and instruction pipelines. You will learn details of modern processor architectures and instruction sets including x86, x64, ARM, and RISC-V. You will see how to implement a RISC-V processor in a low-cost FPGA board and write a quantum computing program and run it on an actual quantum computer.This edition has been updated to cover the architecture and design principles underlying the important domains of cybersecurity, blockchain and bitcoin mining, and self-driving vehicles.By the end of this book, you will have a thorough understanding of modern processors and computer architecture and the future directions these technologies are likely to take.
Containers have entirely changed how developers and end-users see applications as a whole. With this book, you'll learn all about containers, their architecture and benefits, and how to implement them within your development lifecycle.You'll discover how you can transition from the traditional world of virtual machines and adopt modern ways of using DevOps to ship a package of software continuously. Starting with a quick refresher on the core concepts of containers, you'll move on to study the architectural concepts to implement modern ways of application development. You'll cover topics around Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools that will help you to build a base. As you advance, the book covers the core elements of cloud integration (AWS ECS, GKE, and other CaaS services), continuous integration, and continuous delivery (GitHub actions, Jenkins, and Spinnaker) to help you understand the essence of container management and delivery. The later sections of the book will take you through container pipeline security and GitOps (Flux CD and Terraform).By the end of this DevOps book, you'll have learned best practices for automating your development lifecycle and making the most of containers, infrastructure automation, and CaaS, and be ready to develop applications using modern tools and techniques.
DevOps and the cloud have changed how we look at software development and operations like never before, leading to the rapid growth of various DevOps tools, techniques, and practices. This updated edition helps you pick up the right tools by providing you with everything you need to get started with your DevOps journey.The book begins by introducing you to modern cloud-native architecture, and then teaches you about the architectural concepts needed to implement the modern way of application development. The next set of chapters helps you get familiarized with Git, Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools to enable you to build a base. As you advance, you’ll explore the core elements of cloud integration—AWS ECS, GKE, and other CaaS services. The chapters also discuss GitOps, continuous integration, and continuous delivery—GitHub actions, Jenkins, and Argo CD—to help you understand the essence of modern app delivery. Later, you’ll operate your container app in production using a service mesh and apply AI in DevOps. Throughout the book, you’ll discover best practices for automating and managing your development lifecycle, infrastructure, containers, and more.By the end of this DevOps book, you'll be well-equipped to develop and operate applications using modern tools and techniques.
Liudmila Molkova, Sergey Kanzhelev
As distributed systems become more complex and dynamic, their observability needs to grow to aid the development of holistic solutions for performance or usage analysis and debugging. Distributed tracing brings structure, correlation, causation, and consistency to your telemetry, thus allowing you to answer arbitrary questions about your system and creating a foundation for observability vendors to build visualizations and analytics.Modern Distributed Tracing in .NET is your comprehensive guide to observability that focuses on tracing and performance analysis using a combination of telemetry signals and diagnostic tools. You'll begin by learning how to instrument your apps automatically as well as manually in a vendor-neutral way. Next, you’ll explore how to produce useful traces and metrics for typical cloud patterns and get insights into your system and investigate functional, configurational, and performance issues. The book is filled with instrumentation examples that help you grasp how to enrich auto-generated telemetry or produce your own to get the level of detail your system needs, along with controlling your costs with sampling, aggregation, and verbosity.By the end of this book, you'll be ready to adopt and leverage tracing and other observability signals and tools and tailor them to your needs as your system evolves.
Almost a decade after the release of Node.js, the tooling used by frontend developers is fully embracing this cross-platform JavaScript runtime, which is sadly often limited to server-side web development. This is where this Node.js book comes in, showing you what this popular runtime has to offer and how you can unlock its full potential to create frontend-focused web apps.You’ll begin by learning the basics and internals of Node.js, before discovering how to divide your code into modules and packages. Next, you’ll get to grips with the most popular package managers and their uses and find out how to use TypeScript and other JavaScript variants with Node.js. Knowing which tool to use when is crucial, so this book helps you understand all the available state-of-the-art tools in Node.js. You’ll interact with linters such as ESLint and formatters such as Prettier. As you advance, you’ll become well-versed with the Swiss Army Knife for frontend developers – the bundler. You’ll also explore various testing utilities, such as Jest, for code quality verification. Finally, you’ll be able to publish your code in reusable packages with ease.By the end of this web development book, you’ll have gained the knowledge to confidently choose the right code structure for your repositories with all that you’ve learned about monorepos.
Modern JavaScript Applications. Keep abreast of the practical uses of modern JavaScript
Over the years, JavaScript has become vital to the development of a wide range of applications with different architectures. But JS moves lightning fast, and it’s easy to fall behind. Modern JavaScript Applications is designed to get you exploring the latest features of JavaScript and how they can be applied to develop high-quality applications with different architectures. Begin by creating a single page application that builds on the innovative MVC approach using AngularJS, then move forward to develop an enterprise-level application with the microservices architecture using Node to build web services. After that, shift your focus to network programming concepts as you build a real-time web application with websockets. Learn to build responsive, declarative UIs with React and Bootstrap, and see how the performance of web applications can be enhanced using Functional Reactive Programming (FRP). Along the way, explore how the power of JavaScript can be increased multi-fold with high performance techniques. By the end of the book, you’ll be a skilled JavaScript developer with a solid knowledge of the latest JavaScript techniques, tools, and architecture to build modern web apps.
Modern Python Cookbook. The latest in modern Python recipes for the busy modern programmer
Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insight into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand.This book comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The book is broken down into 13 chapters that build from simple language concepts to more complex applications of the language. The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. You will end the book equipped with the knowledge of testing, web services, and configuration and application integration tips and tricks. The recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe. You will be armed with the knowledge of creating applications with flexible logging, powerful configuration, and command-line options, automated unit tests, and good documentation.