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Domain-Driven Design: Tackling Complexity in the Heart of Softwar...
by Eric Evans

Language

English

Pages

563

Publication Date

August 22, 2003

Product Description
Customer Reviews
<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> </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–refactoring not just the code but the model underlying the code–in 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> </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>
Site Reliability Engineering: How Google Runs Production Systems
by , Jennifer Petoff

Language

English

Pages

552

Publication Date

March 23, 2016

Product Description
Customer Reviews
<p>The overwhelming majority of a software system’s 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’s 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’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization.</p><p>This book is divided into four sections:</p><ul><li><b>Introduction</b>—Learn what site reliability engineering is and why it differs from conventional IT industry practices</li><li><b>Principles</b>—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)</li><li><b>Practices</b>—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems</li><li><b>Management</b>—Explore Google's best practices for training, communication, and meetings that your organization can use</li></ul>
Algorithms: Algorithms_4
by , Kevin Wayne

Language

English

Pages

952

Publication Date

February 21, 2011

Product Description
Customer Reviews
<P>This is the eBook version of the printed book.</P><B> <P style="MARGIN: 0px">Essential Information about Algorithms and Data Structures</P> <P style="MARGIN: 0px"></B> </P><I> <P style="MARGIN: 0px">A Classic Reference</P> <P style="MARGIN: 0px"></I>The latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. </P> <P style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">Broad Coverage</P> <P style="MARGIN: 0px"></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 style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">Completely Revised Code</P> <P style="MARGIN: 0px"></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 style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">Engages with Applications</P> <P style="MARGIN: 0px"></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 style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">Intellectually Stimulating</P> <P style="MARGIN: 0px"></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 style="MARGIN: 0px"> </P><I> <P style="MARGIN: 0px">A Scientific Approach</P> <P style="MARGIN: 0px"></I>Develops precise statements about performance, supported by appropriate mathematical models and empirical studies validating those models.</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px"><B>Contents</B></P> <P style="MARGIN: 0px">Chapter 1: Fundamentals</P> <P style="MARGIN: 0px">Programming Model</P> <P style="MARGIN: 0px">Data Abstraction</P> <P style="MARGIN: 0px">Bags, Stacks, and Queues</P> <P style="MARGIN: 0px">Analysis of Algorithms</P> <P style="MARGIN: 0px">Case Study: Union-Find</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 2: Sorting</P> <P style="MARGIN: 0px">Elementary Sorts</P> <P style="MARGIN: 0px">Mergesort</P> <P style="MARGIN: 0px">Quicksort</P> <P style="MARGIN: 0px">Priority Queues</P> <P style="MARGIN: 0px">Applications</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 3: Searching</P> <P style="MARGIN: 0px">Symbol Tables</P> <P style="MARGIN: 0px">Binary Search Trees</P> <P style="MARGIN: 0px">Balanced Search Trees</P> <P style="MARGIN: 0px">Hash Tables</P> <P style="MARGIN: 0px">Applications</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 4: Graphs</P> <P style="MARGIN: 0px">Undirected Graphs</P> <P style="MARGIN: 0px">Directed Graphs</P> <P style="MARGIN: 0px">Minimum Spanning Trees</P> <P style="MARGIN: 0px">Shortest Paths</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 5: Strings</P> <P style="MARGIN: 0px">String Sorts</P> <P style="MARGIN: 0px">Tries</P> <P style="MARGIN: 0px">Substring Search</P> <P style="MARGIN: 0px">Regular Expressions</P> <P style="MARGIN: 0px">Data Compression</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Chapter 6: Context</P>
IPv6 in Practice: A Unixer's Guide to the Next Generation Interne...
by Benedikt Stockebrand

Language

English

Pages

390

Publication Date

November 28, 2006

Product Description
Customer Reviews
<P>This book is a practical guide to IPv6 addressing Unix and network administrators with experience in TCP/IP(v4) but not necessarily any IPv6 knowledge. It focuses on reliable and efficient operation of IPv6 implementations available today rather than on protocol specifications. Consequently, it covers the essential concepts, using instructive and thoroughly tested examples, on how to configure, administrate, and debug IPv6 setups. These foundations are complemented by discussions of best practices and strategic considerations aimed at overall efficiency, reliability, maintainability, and interoperation.</P>
Cloud Native Architectures: Design high-availability and cost-eff...
by , Piyum Zonooz

Language

English

Pages

358

Publication Date

August 31, 2018

Product Description
Customer Reviews
<p><b>Learn and understand the need to architect cloud applications and migrate your business to cloud efficiently</b></p><h4>Key Features</h4><ul><li>Understand the core design elements required to build scalable systems</li><li>Plan resources and technology stacks effectively for high security and fault tolerance</li><li>Explore core architectural principles using real-world examples</li></ul><h4>Book Description</h4><p>Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. To harness this, businesses need to refresh their development models and architectures when they find they don’t port to the cloud. Cloud Native Architectures demonstrates three essential components of deploying modern cloud native architectures: organizational transformation, deployment modernization, and cloud native architecture patterns.</p><p>This book starts with a quick introduction to cloud native architectures that are used as a base to define and explain what cloud native architecture is and is not. You will learn what a cloud adoption framework looks like and develop cloud native architectures using microservices and serverless computing as design principles. You’ll then explore the major pillars of cloud native design including scalability, cost optimization, security, and ways to achieve operational excellence. In the concluding chapters, you will also learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform.</p><p>By the end of this book, you will have learned the techniques to adopt cloud native architectures that meet your business requirements. You will also understand the future trends and expectations of cloud providers.</p><h4>What you will learn</h4><ul><li>Learn the difference between cloud native and traditional architecture</li><li>Explore the aspects of migration, when and why to use it</li><li>Identify the elements to consider when selecting a technology for your architecture</li><li>Automate security controls and configuration management</li><li>Use infrastructure as code and CICD pipelines to run environments in a sustainable manner</li><li>Understand the management and monitoring capabilities for AWS cloud native application architectures</li></ul><h4>Who this book is for</h4><p>Cloud Native Architectures is for software architects who are keen on designing resilient, scalable, and highly available applications that are native to the cloud.</p> <h4>Table of Contents</h4><ol><li>Introducing Cloud Native Architecture</li><li>Cloud Adoption Framework</li><li>SDLC of microservices and cloud native architecture</li><li>How to choose technology stacks</li><li>Scalability and Availability</li><li>Security and Reliability</li><li>Cost</li><li>Operational Excellence</li><li>AWS</li><li>Azure</li><li>Google Cloud Platform</li><li>What?s Next? Cloud Native Application Architecture Trends</li></ol>
Cloud Computing Architected: Solution Design Handbook
by , Risto Haukioja

Language

English

Pages

385

Publication Date

March 28, 2011

Product Description
Customer Reviews
<div><b>Updated and Expanded in 2013</b></div><br /><div></div> Cloud Computing Architected describes the essential components of a cloud-based application and presents the architectural options that are available to create large-scale, distributed applications spanning administrative domains. The requirements of cloud computing have far-reaching implications for software engineering. Applications must be built to provide flexible and elastic services, and designed to consume functionality delivered remotely across of spectrum of reliable, and unreliable, sources. Architects need to consider the impact of scalability and multi-tenancy in terms of: <br /><br />»New development tools <br />»Internet-based delivery and mobile devices <br />»Identity federation <br />»Fragmented services and providers <br />»Exploding information volume <br />»Availability and elasticity techniques <br />»New business models and monetization strategies <br />»Revised software development cycle <br />»Increased operational automation <br /><br />This book looks at these and other areas where the advent of cloud computing has the opportunity to influence the architecture of software applications.
Design It!: From Programmer to Software Architect (The Pragmatic ...
by Michael Keeling

Language

English

Pages

360

Publication Date

October 18, 2017

Product Description
Customer Reviews
<p>Don't engineer by coincidence-design it like you mean it! Filled with practical techniques, <i>Design It!</i> is the perfect introduction to software architecture for programmers who are ready to grow their design skills. Lead your team as a software architect, ask the right stakeholders the right questions, explore design options, and help your team implement a system that promotes the right -ilities. Share your design decisions, facilitate collaborative design workshops that are fast, effective, and fun-and develop more awesome software!<br /><br />With dozens of design methods, examples, and practical know-how, <i>Design It!</i> shows you how to become a software architect. Walk through the core concepts every architect must know, discover how to apply them, and learn a variety of skills that will make you a better programmer, leader, and designer. <br /><br />Uncover the big ideas behind software architecture and gain confidence working on projects big and small. Plan, design, implement, and evaluate software architectures and collaborate with your team, stakeholders, and other architects. Identify the right stakeholders and understand their needs, dig for architecturally significant requirements, write amazing quality attribute scenarios, and make confident decisions. Choose technologies based on their architectural impact, facilitate architecture-centric design workshops, and evaluate architectures using lightweight, effective methods. Write lean architecture descriptions people love to read. Run an architecture design studio, implement the architecture you've designed, and grow your team's architectural knowledge. Good design requires good communication. Talk about your software architecture with stakeholders using whiteboards, documents, and code, and apply architecture-focused design methods in your day-to-day practice. <br /><br />Hands-on exercises, real-world scenarios, and practical team-based decision-making tools will get everyone on board and give you the experience you need to become a confident software architect.</p>
Domain-Driven Design Distilled
by Vaughn Vernon

Language

English

Pages

168

Publication Date

June 01, 2016

Product Description
Customer Reviews
<p>Domain-Driven Design (DDD) software modeling delivers powerful results in practice, not just in theory, which is why developers worldwide are rapidly moving to adopt it. Now, for the first time, there’s an accessible guide to the basics of DDD: What it is, what problems it solves, how it works, and how to quickly gain value from it.</p> <p> </p> <p>Concise, readable, and actionable, <b> <i> <b>Domain-Driven Design Distilled</b> </i> </b> never buries you in detail–it focuses on what you need to know to get results. Vaughn Vernon, author of the best-selling <i>Implementing Domain-Driven Design,</i> draws on his twenty years of experience applying DDD principles to real-world situations. He is uniquely well-qualified to demystify its complexities, illuminate its subtleties, and help you solve the problems you might encounter.</p> <p> </p> <p>Vernon guides you through each core DDD technique for building better software. You’ll learn how to segregate domain models using the powerful Bounded Contexts pattern, to develop a Ubiquitous Language within an explicitly bounded context, and to help domain experts and developers work together to create that language. Vernon shows how to use Subdomains to handle legacy systems and to integrate multiple Bounded Contexts to define both team relationships and technical mechanisms.</p> <p> </p> <p> <b> <i> <b>Domain-Driven Design Distilled</b> </i> </b> brings DDD to life. Whether you’re a developer, architect, analyst, consultant, or customer, Vernon helps you truly understand it so you can benefit from its remarkable power.</p> <p> </p> <p>Coverage includes</p> <ul> <li> What DDD can do for you and your organization–and why it’s so important </li> <li> The cornerstones of strategic design with DDD: Bounded Contexts and Ubiquitous Language </li> <li> Strategic design with Subdomains </li> <li> Context Mapping: helping teams work together and integrate software more strategically </li> <li> Tactical design with Aggregates and Domain Events </li> <li> Using project acceleration and management tools to establish and maintain team cadence </li> </ul>
Implementing Domain-Driven Design
by Vaughn Vernon

Language

English

Pages

656

Publication Date

February 06, 2013

Product Description
Customer Reviews
“For software developers of all experience levels looking to improve their results, and design and implement domain-driven enterprise applications consistently with the best current state of professional practice, <b> <i>Implementing Domain-Driven Design</i> </b> will impart a treasure trove of knowledge hard won within the DDD and enterprise application architecture communities over the last couple decades.” <p>–Randy Stafford, Architect At-Large, Oracle Coherence Product Development</p> <p> </p> <p>“This book is a must-read for anybody looking to put DDD into practice.”</p> <p>–Udi Dahan, Founder of NServiceBus</p> <p> <b> </b> </p> <p> <i> <b>Implementing Domain-Driven Design</b> </i> presents a top-down approach to understanding domain-driven design (DDD) in a way that fluently connects strategic patterns to fundamental tactical programming tools. Vaughn Vernon couples guided approaches to implementation with modern architectures, highlighting the importance and value of focusing on the business domain while balancing technical considerations.</p> <p> </p> <p>Building on Eric Evans’ seminal book, Domain-Driven Design, the author presents practical DDD techniques through examples from familiar domains. Each principle is backed up by realistic Java examples–all applicable to C# developers–and all content is tied together by a single case study: the delivery of a large-scale Scrum-based SaaS system for a multitenant environment.</p> <p> </p> <p>The author takes you far beyond “DDD-lite” approaches that embrace DDD solely as a technical toolset, and shows you how to fully leverage DDD’s “strategic design patterns” using Bounded Context, Context Maps, and the Ubiquitous Language. Using these techniques and examples, you can reduce time to market and improve quality, as you build software that is more flexible, more scalable, and more tightly aligned to business goals.</p> <p> </p> <p>Coverage includes</p> <ul> <li>Getting started the right way with DDD, so you can rapidly gain value from it</li> <li>Using DDD within diverse architectures, including Hexagonal, SOA, REST, CQRS, Event-Driven, and Fabric/Grid-Based</li> <li>Appropriately designing and applying Entities–and learning when to use Value Objects instead</li> <li>Mastering DDD’s powerful new Domain Events technique</li> <li>Designing Repositories for ORM, NoSQL, and other databases</li> </ul> <p> </p>
Python (2nd Edition): Learn Python in One Day and Learn It Well. ...
by , Jamie Chan

Language

English

Pages

174

Publication Date

May 10, 2017

Product Description
Customer Reviews
<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

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