<p>Kubernetes radically changes the way applications are built and deployed in the cloud. Since its introduction in 2014, this container orchestrator has become one of the largest and most popular open source projects in the world. The updated edition of this practical book shows developers and ops personnel how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.</p><p>Kelsey Hightower, Brendan Burns, and Joe Beda鈥攚ho鈥檝e worked on Kubernetes at Google and beyond鈥攅xplain how this system fits into the lifecycle of a distributed application. You鈥檒l learn how to use tools and APIs to automate scalable distributed systems, whether it鈥檚 for online services, machine learning applications, or a cluster of Raspberry Pi computers.</p><ul><li>Create a simple cluster to learn how Kubernetes works</li><li>Dive into the details of deploying an application using Kubernetes</li><li>Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets</li><li>Explore deployments that tie together the lifecycle of a complete application</li><li>Get practical examples of how to develop and deploy real-world applications in Kubernetes</li></ul>

<p>How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman鈥檚 extremely popular <i>Building Microservices</i>, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.</p><p>With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You鈥檒l learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture.</p><ul><li>Ideal for organizations looking to transition to microservices, rather than rebuild</li><li>Helps companies determine whether to migrate, when to migrate, and where to begin</li><li>Addresses communication, integration, and the migration of legacy systems</li><li>Discusses multiple migration patterns and where they apply</li><li>Provides database migration examples, along with synchronization strategies</li><li>Explores application decomposition, including several architectural refactoring patterns</li><li>Delves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more</li></ul>

<p>Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on second edition, expanded and thoroughly updated for Terraform version 0.12 and beyond, shows you the fastest way to get up and running.</p><p>Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform鈥檚 simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers.</p><ul><li>Explore changes from Terraform 0.9 through 0.12, including backends, workspaces, and first-class expressions</li><li>Learn how to write production-grade Terraform modules</li><li>Dive into manual and automated testing for Terraform code</li><li>Compare Terraform to Chef, Puppet, Ansible, CloudFormation, and Salt Stack</li><li>Deploy server clusters, load balancers, and databases</li><li>Use Terraform to manage the state of your infrastructure</li><li>Create reusable infrastructure with Terraform modules</li><li>Use advanced Terraform syntax to achieve zero-downtime deployment</li></ul>

<p>Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture鈥檚 many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics.</p><p>Mark Richards and Neal Ford鈥攈ands-on practitioners who have taught software architecture classes professionally for years鈥攆ocus on architecture principles that apply across all technology stacks. You鈥檒l explore software architecture in a modern light, taking into account all the innovations of the past decade.</p><p>This book examines:</p><ul><li><b>Architecture patterns:</b> The technical basis for many architectural decisions</li><li><b>Components:</b> Identification, coupling, cohesion, partitioning, and granularity</li><li><b>Soft skills:</b> Effective team management, meetings, negotiation, presentations, and more</li><li><b>Modernity:</b> Engineering practices and operational approaches that have changed radically in the past few years</li><li><b>Architecture as an engineering discipline:</b> Repeatable results, metrics, and concrete valuations that add rigor to software architecture</li></ul>

<p>The overwhelming majority of a software system鈥檚 lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?</p><p>In this collection of essays and articles, key members of Google鈥檚 Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You鈥檒l learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient鈥攍essons directly applicable to your organization.</p><p>This book is divided into four sections:</p><ul><li><b>Introduction</b>鈥擫earn what site reliability engineering is and why it differs from conventional IT industry practices</li><li><b>Principles</b>鈥擡xamine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)</li><li><b>Practices</b>鈥擴nderstand the theory and practice of an SRE鈥檚 day-to-day work: building and operating large distributed computing systems</li><li><b>Management</b>鈥擡xplore Google's best practices for training, communication, and meetings that your organization can use</li></ul>

<p> <b> <i>Domain-Driven Design</i> </b> fills that need. This is not a book about specific technologies. It offers readers a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains. Intertwining design and development practice, this book incorporates numerous examples based on actual projects to illustrate the application of domain-driven design to real-world software development.</p> <p>聽</p> <p>Readers learn how to use a domain model to make a complex development effort more focused and dynamic. A core of best practices and standard patterns provides a common language for the development team. A shift in emphasis鈥搑efactoring not just the code but the model underlying the code鈥搃n combination with the frequent iterations of Agile development leads to deeper insight into domains and enhanced communication between domain expert and programmer. <b> <i>Domain-Driven Design</i> </b> then builds on this foundation, and addresses modeling and design for complex systems and larger organizations.Specific topics covered include:</p> <p>聽</p> <p>With this book in hand, object-oriented developers, system analysts, and designers will have the guidance they need to organize and focus their work, create rich and useful domain models, and leverage those models into quality, long-lasting software implementations.</p>

<h2>(2nd Edition: Covers Object Oriented Programming) Learn Python Fast and Learn It Well. Master Python Programming with a unique Hands-On Project</h2><br /><br />Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the Python language fast?<br /><br />This book is for you. You no longer have to waste your time and money learning Python from lengthy books, expensive online courses or complicated Python tutorials. <br /><br /><h2>What this book offers...</h2><br /><b>Python for Beginners</b><br /><br />Complex concepts are broken down into simple steps to ensure that you can easily master the Python language <b>even if you have never coded before</b>.<br /><br /><b>Carefully Chosen Python Examples</b><br /><br />Examples are carefully chosen to illustrate all concepts. In addition, the output for all examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.<br /><br /><b>Careful selection of topics</b><br /><br />Topics are carefully selected to give you a broad exposure to Python, while not overwhelming you with information overload. These topics include object-oriented programming concepts, error handling techniques, file handling techniques and more.<br /><br /><b>Learn The Python Programming Language Fast</b><br /><br />Concepts are presented in a "to-the-point" style to cater to the busy individual. With this book, you can learn Python in just one day and start coding immediately. <br /><br /><h2>How is this book different...</h2><br />The best way to learn Python is by doing. This book includes a complete project at the end of the book that requires the application of all the concepts taught previously. Working through the project will not only give you an immense sense of achievement, it"ll also help you retain the knowledge and master the language.<br /><br />Are you ready to dip your toes into the exciting world of Python coding? This book is for you. <br /><br />With the first edition of this book being a <b>#1 best-selling programming ebook on Amazon for more than a year</b>, you can rest assured that this new and improved edition is the perfect book for you to learn the Python programming language fast.<br /><br />Click the BUY button and download it now.<br /><br /><h2>What you'll learn:</h2><br />- What is Python?<br />- What software you need to code and run Python programs?<br />- What are variables?<br />- What are the common data types in Python?<br />- What are Lists and Tuples?<br />- How to format strings<br />- How to accept user inputs and display outputs<br />- How to control the flow of program with loops<br />- How to handle errors and exceptions<br />- What are functions and modules?<br />- How to define your own functions and modules<br />- How to work with external files<br />- What are objects and classes<br />- How to write your own class<br />- What is inheritance<br />- What are properties<br />- What is name mangling<br /><br />.. and more...<br /><br />Finally, you'll be guided through a hands-on project that requires the application of all the topics covered.<br /><br />Click the BUY button and download the book now to start learning Python. Learn it fast and learn it well.<br /><br />Tags:<br />------------<br />Python, Object-oriented Python, Python course, Python book, learning Python, Python language, Python examples, Python tutorials, Python programming language, Python coding, Python programming for beginners, Python for Dummies

<p>This is the eBook version of the printed book.</p><b> <p>Essential Information about Algorithms and Data Structures</p> </b><p><b></b>聽</p><i> <p>A Classic Reference</p> </i><p><i></i>The latest version of Sedgewick鈥檚 best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. </p> <p>聽</p><i> <p>Broad Coverage</p> </i><p><i></i>Full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know.</p> <p>聽</p><i> <p>Completely Revised Code</p> </i><p><i></i>New Java implementations written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.</p> <p>聽</p><i> <p>Engages with Applications</p> </i><p><i></i>Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many other books.</p> <p>聽</p><i> <p>Intellectually Stimulating</p> </i><p><i></i>Engages reader interest with clear, concise text, detailed examples with visuals, carefully crafted code, historical and scientific context, and exercises at all levels.</p> <p>聽</p><i> <p>A Scientific Approach</p> </i><p><i></i>Develops precise statements about performance, supported by appropriate mathematical models and empirical studies validating those models.</p> <p>聽</p> <p>聽</p> <p><b>Contents</b></p> <p>Chapter 1: Fundamentals</p> <p>Programming Model</p> <p>Data Abstraction</p> <p>Bags, Stacks, and Queues</p> <p>Analysis of Algorithms</p> <p>Case Study: Union-Find</p> <p>聽</p> <p>Chapter 2: Sorting</p> <p>Elementary Sorts</p> <p>Mergesort</p> <p>Quicksort</p> <p>Priority Queues</p> <p>Applications</p> <p>聽</p> <p>Chapter 3: Searching</p> <p>Symbol Tables</p> <p>Binary Search Trees</p> <p>Balanced Search Trees</p> <p>Hash Tables</p> <p>Applications</p> <p>聽</p> <p>Chapter 4: Graphs</p> <p>Undirected Graphs</p> <p>Directed Graphs</p> <p>Minimum Spanning Trees</p> <p>Shortest Paths</p> <p>聽</p> <p>Chapter 5: Strings</p> <p>String Sorts</p> <p>Tries</p> <p>Substring Search</p> <p>Regular Expressions</p> <p>Data Compression</p> <p>聽</p> <p>Chapter 6: Context</p>

<b>A fast-paced, thorough introduction to modern C++ written for experienced programmers. After reading聽<i>C++ Crash Course</i>, you'll be proficient in the core language concepts, the C++ Standard Library, and the Boost Libraries.</b><br /><br />C++ is one of the most widely used languages for real-world software. In the hands of a knowledgeable programmer, C++ can produce small, efficient, and readable code that any programmer would be proud of.<br /><br />Designed for intermediate to advanced programmers, C++ Crash Course聽cuts through the weeds to get you straight to the core of C++17, the most modern revision of the ISO standard. Part 1 covers the core of the C++ language, where you'll learn about everything from types and functions, to the object life cycle and expressions. Part 2 introduces you to the C++ Standard Library and Boost Libraries, where you'll learn about all of the high-quality, fully-featured facilities available to you. You'll cover special utility classes, data structures, and algorithms, and learn how to manipulate file systems and build high-performance programs that communicate over networks.聽<br /><br />You'll learn all the major features of modern C++, including:<br />聽聽鈥⒙犅燜undamental types, reference types, and user-defined types<br />聽聽鈥⒙犅燭he object lifecycle including storage duration, memory management, exceptions, call stacks, and the RAII paradigm聽<br />聽聽鈥⒙犅燙ompile-time polymorphism with templates and run-time polymorphism with virtual classes<br />聽聽鈥⒙犅燗dvanced expressions, statements, and functions<br />聽聽鈥⒙犅燬mart pointers, data structures, dates and times, numerics, and probability/statistics facilities<br />聽聽鈥⒙犅燙ontainers, iterators, strings, and algorithms<br />聽聽鈥⒙犅燬treams and files, concurrency, networking, and application development<br /><br />With well over 500 code samples and nearly 100 exercises, C++ Crash Course is sure to help you build a strong C++ foundation.

<p><b>Apply microservices patterns to build resilient and scalable distributed systems</b></p><h4>Key Features</h4><ul><li>Understand the challenges of building large-scale microservice landscapes</li><li>Build cloud-native production-ready microservices with this comprehensive guide</li><li>Discover how to get the best out of Spring Cloud, Kubernetes, and Istio when used together</li></ul><h4>Book Description</h4><p>Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you鈥檒l learn how to efficiently build and deploy microservices using Spring Boot. </p><p>This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you鈥檒l learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you鈥檒l understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you鈥檒l explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana.</p><p>By the end of this book, you鈥檒l be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.</p><h4>What you will learn</h4><ul><li>Build reactive microservices using Spring Boot</li><li>Develop resilient and scalable microservices using Spring Cloud</li><li>Use OAuth 2.0/OIDC and Spring Security to protect public APIs</li><li>Implement Docker to bridge the gap between development, testing, and production</li><li>Deploy and manage microservices using Kubernetes</li><li>Apply Istio for improved security, observability, and traffic management</li></ul><h4>Who this book is for</h4><p>This book is for Java and Spring developers and architects who want to learn how to break up their existing monoliths into microservices and deploy them either on-premises or in the cloud using Kubernetes as a container orchestrator and Istio as a service Mesh. No familiarity with microservices architecture is required to get started with this book.</p> <h4>Table of Contents</h4><ol><li>Introduction to Microservices</li><li>Introduction to Spring Boot</li><li>Creating a Set of Cooperating Microservices</li><li>Deploying Our Microservices Using Docker</li><li>Adding an API Description Using OpenAPI/Swagger</li><li>Adding Persisitence</li><li>Developing Reactive Microservices </li><li>Introduction to Spring Cloud</li><li>Adding Service Discovery Using Netflix Eureka and Ribbon</li><li>Using Spring Cloud Gateway to Hide Microservices Behind an Edge Server</li><li>Securing Access to APIs</li><li>Centralized Configuration </li><li>Improving Resilience using Resilience4j</li><li>Understanding Distributed Tracing</li><li>Introduction to Kubernetes </li><li>Deploying Our Microservices to Kubernetes</li><li>Implementing Kubernetes Features as an Alternative</li><li>Using a Service Mesh to Improve Observability and Management</li><li>Centralized Logging with the EFK Stack</li><li>Monitoring Microservices</li></ol>