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Monolith to Microservices: Evolutionary Patterns to Transform You...
by Sam Newman

Language

English

Pages

272

Publication Date

November 14, 2019

Product Description
Customer Reviews
<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’s 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’ll 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>
Python Programming for Beginners: An Introduction to the Python C...
by Jason Cannon

Language

English

Pages

164

Publication Date

August 28, 2014

Product Description
Customer Reviews
<h2>Learn Python the Easy Way, Complete with Examples and Exercises</h2><br /><p>Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers.</p><br /><p><em>Python Programming for Beginners</em> doesn't make any assumptions about your background or knowledge of Python or computer programming. You need no prior knowledge to benefit from this book. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered they are explained in plain language, making it easy for anyone to understand.</p><br /><h2>Here is what you will learn by reading <em>Python Programming for Beginners</em>:</h2><br /><ul><br /><li>When to use Python 2 and when to use Python 3.</li><br /><li>How to install Python on Windows, Mac, and Linux. Screenshots included.</li><br /><li>How to prepare your computer for programming in Python.</li><br /><li>The various ways to run a Python program on Windows, Mac, and Linux.</li><br /><li>Suggested text editors and integrated development environments to use when coding in Python.</li><br /><li>How to work with various data types including strings, lists, tuples, dictionaries, booleans, and more.</li><br /><li>What variables are and when to use them.</li><br /><li>How to perform mathematical operations using Python.</li><br /><li>How to capture input from a user.</li><br /><li>Ways to control the flow of your programs.</li><br /><li>The importance of white space in Python.</li><br /><li>How to organize your Python programs -- Learn what goes where.</li><br /><li>What modules are, when you should use them, and how to create your own.</li><br /><li>How to define and use functions.</li><br /><li>Important built-in Python functions that you'll use often.</li><br /><li>How to read from and write to files.</li><br /><li>The difference between binary and text files.</li><br /><li>Various ways of getting help and find Python documentation.</li><br /><li>Much more...</li><br /></ul><br />Every single code example in the book is available to download, providing you with all the Python code you need at your fingertips!<br /><h2>Scroll up, click the Buy Now With 1 Click button and get started learning Python today!</h2>
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>
Terraform: Up & Running: Writing Infrastructure as Code
by Yevgeniy Brikman

Language

English

Pages

368

Publication Date

September 06, 2019

Product Description
Customer Reviews
<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’s 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>
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>
Kubernetes: Up and Running: Dive into the Future of Infrastructur...
by , Kelsey Hightower

Language

English

Pages

278

Publication Date

October 03, 2019

Product Description
Customer Reviews
<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—who’ve worked on Kubernetes at Google and beyond—explain how this system fits into the lifecycle of a distributed application. You’ll learn how to use tools and APIs to automate scalable distributed systems, whether it’s 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>
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>Essential Information about Algorithms and Data Structures</p> </b><p><b></b> </p><i> <p>A Classic Reference</p> </i><p><i></i>The latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. </p> <p> </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> </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> </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> </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> </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> </p> <p> </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> </p> <p>Chapter 2: Sorting</p> <p>Elementary Sorts</p> <p>Mergesort</p> <p>Quicksort</p> <p>Priority Queues</p> <p>Applications</p> <p> </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> </p> <p>Chapter 4: Graphs</p> <p>Undirected Graphs</p> <p>Directed Graphs</p> <p>Minimum Spanning Trees</p> <p>Shortest Paths</p> <p> </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> </p> <p>Chapter 6: Context</p>
Python (2nd Edition): Learn Python in One Day and Learn It Well. ...
by , Jamie Chan

Language

English

Pages

175

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
Cloud Native Transformation: Practical Patterns for Innovation
by , Michelle Gienow

Language

English

Pages

540

Publication Date

December 05, 2019

Product Description
Customer Reviews
<p>In the past few years, going cloud native has been a big advantage for many companies. But it’s a tough technique to get right, especially for enterprises with critical legacy systems. This practical hands-on guide examines effective architecture, design, and cultural patterns to help you transform your organization into a cloud native enterprise—whether you’re moving from older architectures or creating new systems from scratch.</p><p>By following Wealth Grid, a fictional company, you’ll understand the challenges, dilemmas, and considerations that accompany a move to the cloud. Technical managers and architects will learn best practices for taking on a successful company-wide transformation.</p><p>Cloud migration consultants Pini Reznik, Jamie Dobson, and Michelle Gienow draw patterns from the growing community of expert practitioners and enterprises that have successfully built cloud native systems. You’ll learn what works and what doesn’t when adopting cloud native—including how this transition affects not just your technology but also your organizational structure and processes.</p><p>You’ll learn:</p><ul><li>What cloud native means and why enterprises are so interested in it</li><li>Common barriers and pitfalls that have affected other companies (and how to avoid them)</li><li>Context-specific patterns for a successful cloud native transformation</li><li>How to implement a safe, evolutionary cloud native approach</li><li>How companies addressed root causes and misunderstandings that hindered their progress</li><li>Case studies from real-world companies that have succeeded with cloud native transformations</li></ul>
C++ Crash Course: A Fast-Paced Introduction
by Josh Lospinoso

Language

English

Pages

793

Publication Date

September 24, 2019

Product Description
Customer Reviews
<b>A fast-paced, thorough introduction to modern C++ written for experienced programmers. After reading <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 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. <br /><br />You'll learn all the major features of modern C++, including:<br />  •  Fundamental types, reference types, and user-defined types<br />  •  The object lifecycle including storage duration, memory management, exceptions, call stacks, and the RAII paradigm <br />  •  Compile-time polymorphism with templates and run-time polymorphism with virtual classes<br />  •  Advanced expressions, statements, and functions<br />  •  Smart pointers, data structures, dates and times, numerics, and probability/statistics facilities<br />  •  Containers, iterators, strings, and algorithms<br />  •  Streams 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.

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