Getting Started with Hazelcast PDF Download
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Author: Mat Johns
Publisher: Packt Publishing Ltd
ISBN: 1783554053
Category : Computers
Languages : en
Pages : 163
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Book Description
This book is an easy-to-follow, hands-on introduction that guides you through this innovative new technology. It covers everything from data grids to the simple-to-use distributed data storage collections. Queuing and topic messaging capabilities, as well as locking and transaction support to guard against concurrency race-conditions, are some of the topics that we will cover. We will then move on to distributed task execution, in-place data manipulations and big data analytical processing using MapReduce. At the end of all this, you will be armed with everything you need to bring amazing power and data scalability to your applications, as well as making them truly global and ready for a worldwide audience.
Author: Mat Johns
Publisher: Packt Publishing Ltd
ISBN: 1783554053
Category : Computers
Languages : en
Pages : 163
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Book Description
This book is an easy-to-follow, hands-on introduction that guides you through this innovative new technology. It covers everything from data grids to the simple-to-use distributed data storage collections. Queuing and topic messaging capabilities, as well as locking and transaction support to guard against concurrency race-conditions, are some of the topics that we will cover. We will then move on to distributed task execution, in-place data manipulations and big data analytical processing using MapReduce. At the end of all this, you will be armed with everything you need to bring amazing power and data scalability to your applications, as well as making them truly global and ready for a worldwide audience.
Author: Rafal Leszko
Publisher: Packt Publishing Ltd
ISBN: 1787126145
Category : Computers
Languages : en
Pages : 326
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Book Description
Unleash the combination of Docker and Jenkins in order to enhance the DevOps workflow About This Book Build reliable and secure applications using Docker containers. Create a complete Continuous Delivery pipeline using Docker, Jenkins, and Ansible. Deliver your applications directly on the Docker Swarm cluster. Create more complex solutions using multi-containers and database migrations. Who This Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets. Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus. What You Will Learn Get to grips with docker fundamentals and how to dockerize an application for the Continuous Delivery process Configure Jenkins and scale it using Docker-based agents Understand the principles and the technical aspects of a successful Continuous Delivery pipeline Create a complete Continuous Delivery process using modern tools: Docker, Jenkins, and Ansible Write acceptance tests using Cucumber and run them in the Docker ecosystem using Jenkins Create multi-container applications using Docker Compose Managing database changes inside the Continuous Delivery process and understand effective frameworks such as Cucumber and Flyweight Build clustering applications with Jenkins using Docker Swarm Publish a built Docker image to a Docker Registry and deploy cycles of Jenkins pipelines using community best practices In Detail The combination of Docker and Jenkins improves your Continuous Delivery pipeline using fewer resources. It also helps you scale up your builds, automate tasks and speed up Jenkins performance with the benefits of Docker containerization. This book will explain the advantages of combining Jenkins and Docker to improve the continuous integration and delivery process of app development. It will start with setting up a Docker server and configuring Jenkins on it. It will then provide steps to build applications on Docker files and integrate them with Jenkins using continuous delivery processes such as continuous integration, automated acceptance testing, and configuration management. Moving on you will learn how to ensure quick application deployment with Docker containers along with scaling Jenkins using Docker Swarm. Next, you will get to know how to deploy applications using Docker images and testing them with Jenkins. By the end of the book, you will be enhancing the DevOps workflow by integrating the functionalities of Docker and Jenkins. Style and approach The book is aimed at DevOps Engineers, developers and IT Operations who want to enhance the DevOps culture using Docker and Jenkins.
Author: Michael Zheludkov
Publisher: Lulu.com
ISBN: 0359439373
Category : Computers
Languages : en
Pages : 642
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Book Description
Apache Ignite is one of the most widely used open source memory-centric distributed, caching, and processing platform. This allows the users to use the platform as an in-memory computing framework or a full functional persistence data stores with SQL and ACID transaction support. On the other hand, Apache Ignite can be used for accelerating existing Relational and NoSQL databases, processing events & streaming data or developing Microservices in fault-tolerant fashion. This book addressed anyone interested in learning in-memory computing and distributed database. This book intends to provide someone with little to no experience of Apache Ignite with an opportunity to learn how to use this platform effectively from scratch taking a practical hands-on approach to learning. Please see the table of contents for more details.
Author: Sujoy Acharya
Publisher: Packt Publishing Ltd
ISBN: 1789344069
Category : Computers
Languages : en
Pages : 253
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Book Description
Build efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite Key FeaturesUnderstand Apache Ignite's in-memory technologyCreate High-Performance app components with IgniteBuild a real-time data streaming and complex event processing systemBook Description Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high-performance, scalable, highly available system architecture with data integrity. The book takes you through the basics of Apache Ignite and in-memory technologies. You will learn about installation and clustering Ignite nodes, caching topologies, and various caching strategies, such as cache aside, read and write through, and write behind. Next, you will delve into detailed aspects of Ignite’s data grid: web session clustering and querying data. You will learn how to process large volumes of data using compute grid and Ignite’s map-reduce and executor service. You will learn about the memory architecture of Apache Ignite and monitoring memory and caches. You will use Ignite for complex event processing, event streaming, and the time-series predictions of opportunities and threats. Additionally, you will go through off-heap and on-heap caching, swapping, and native and Spring framework integration with Apache Ignite. By the end of this book, you will be confident with all the features of Apache Ignite 2.x that can be used to build a high-performance system architecture. What you will learnUse Apache Ignite’s data grid and implement web session clusteringGain high performance and linear scalability with in-memory distributed data processingCreate a microservice on top of Apache Ignite that can scale and performPerform ACID-compliant CRUD operations on an Ignite cacheRetrieve data from Apache Ignite’s data grid using SQL, Scan and Lucene Text queryExplore complex event processing concepts and event streamingIntegrate your Ignite app with the Spring frameworkWho this book is for The book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary.
Author: John Sonmez
Publisher:
ISBN: 9780999081440
Category :
Languages : en
Pages : 502
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Book Description
For most software developers, coding is the fun part. The hard bits are dealing with clients, peers, and managers and staying productive, achieving financial security, keeping yourself in shape, and finding true love. This book is here to help. Soft Skills: The Software Developer's Life Manual is a guide to a well-rounded, satisfying life as a technology professional. In it, developer and life coach John Sonmez offers advice to developers on important subjects like career and productivity, personal finance and investing, and even fitness and relationships. Arranged as a collection of 71 short chapters, this fun listen invites you to dip in wherever you like. A "Taking Action" section at the end of each chapter tells you how to get quick results. Soft Skills will help make you a better programmer, a more valuable employee, and a happier, healthier person.
Author: Ali Almossawi
Publisher: Penguin
ISBN: 0735222231
Category : Science
Languages : en
Pages : 162
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Book Description
A relatable, interactive, and funny exploration of algorithms, those essential building blocks of computer science—and of everyday life—from the author of the wildly popular Bad Arguments Algorithms—processes that are made up of unambiguous steps and do something useful—make up the very foundations of computer science. But they also inform our choices in approaching everyday tasks, from managing a pile of clothes fresh out of the dryer to deciding what music to listen to. With Bad Choices, Ali Almossawi presents twelve scenes from everyday life that help demonstrate and demystify the fundamental algorithms that drive computer science, bringing these seemingly elusive concepts into the understandable realms of the everyday. Readers will discover how: • Matching socks can teach you about search and hash tables • Planning trips to the store can demonstrate the value of stacks • Deciding what music to listen to shows why link analysis is all-important • Crafting a succinct Tweet draws on ideas from compression • Making your way through a grocery list helps explain priority queues and traversing graphs • And more As you better understand algorithms, you’ll also discover what makes a method faster and more efficient, helping you become a more nimble, creative problem-solver, ready to face new challenges. Bad Choices will open the world of algorithms to all readers, making this a perennial go-to for fans of quirky, accessible science books.
Author: Nicolas Frankel
Publisher: Monsieur Nicolas Frankel
ISBN: 9782955021439
Category :
Languages : en
Pages : 334
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Book Description
Software development is a complex craft requiring many steps in its road to completion. In particular, achieving the best context-dependent ratio between cost and quality can only be achieved through an adequate testing strategy. "Integration Testing from the Trenches" covers through different areas of testing and integration tests in both Java & JavaEE ecosystems: Definitions of relevant terms around testing and integration testing Basic testing tools usable for testing Build tools usage for integration testing, including recipes for Maven and Gradle Mocks, stubs and fakes, in particular in regard to infrastructure resources such as databases, mail and FTP servers, web services In-container testing for the Spring and Spring MVC applications In-container testing for JavaEE application This book is intended for software developers that want to go beyond just unit-testing and test the collaboration of their classes and modules in an efficient way. At some point in time, available tools were restricted to Jakarta Cactus for Struts. However, the thriving Open Source ecosystem can now provide everything we need to provide proper integration tests, as well as ways to use them with the greatest possible Return Over Investment.
Author: Tomasz Lelek
Publisher: Simon and Schuster
ISBN: 1638350620
Category : Computers
Languages : en
Pages : 414
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Book Description
Optimize the decisions that define your code by exploring the common mistakes and intentional tradeoffs made by expert developers. In Software Mistakes and Tradeoffs you will learn how to: Reason about your systems to make intuitive and better design decisions Understand consequences and how to balance tradeoffs Pick the right library for your problem Thoroughly analyze all of your service’s dependencies Understand delivery semantics and how they influence distributed architecture Design and execute performance tests to detect code hot paths and validate a system’s SLA Detect and optimize hot paths in your code to focus optimization efforts on root causes Decide on a suitable data model for date/time handling to avoid common (but subtle) mistakes Reason about compatibility and versioning to prevent unexpected problems for API clients Understand tight/loose coupling and how it influences coordination of work between teams Clarify requirements until they are precise, easily implemented, and easily tested Optimize your APIs for friendly user experience Code performance versus simplicity. Delivery speed versus duplication. Flexibility versus maintainability—every decision you make in software engineering involves balancing tradeoffs. In Software Mistakes and Tradeoffs you’ll learn from costly mistakes that Tomasz Lelek and Jon Skeet have encountered over their impressive careers. You’ll explore real-world scenarios where poor understanding of tradeoffs lead to major problems down the road, so you can pre-empt your own mistakes with a more thoughtful approach to decision making. Learn how code duplication impacts the coupling and evolution speed of your systems, and how simple-sounding requirements can have hidden nuances with respect to date and time information. Discover how to efficiently narrow your optimization scope according to 80/20 Pareto principles, and ensure consistency in your distributed systems. You’ll soon have built up the kind of knowledge base that only comes from years of experience. About the technology Every step in a software project involves making tradeoffs. When you’re balancing speed, security, cost, delivery time, features, and more, reasonable design choices may prove problematic in production. The expert insights and relatable war stories in this book will help you make good choices as you design and build applications. About the book Software Mistakes and Tradeoffs explores real-world scenarios where the wrong tradeoff decisions were made and illuminates what could have been done differently. In it, authors Tomasz Lelek and Jon Skeet share wisdom based on decades of software engineering experience, including some delightfully instructive mistakes. You’ll appreciate the specific tips and practical techniques that accompany each example, along with evergreen patterns that will change the way you approach your next projects. What's inside How to reason about your software systematically How to pick tools, libraries, and frameworks How tight and loose coupling affect team coordination Requirements that are precise, easy to implement, and easy to test About the reader For mid- and senior-level developers and architects who make decisions about software design and implementation. About the author Tomasz Lelek works daily with a wide range of production services, architectures, and JVM languages. A Google engineer and author of C# in Depth, Jon Skeet is famous for his many practical contributions to Stack Overflow.
Author: Allison Parrish
Publisher: Maker Media, Inc.
ISBN: 1457186799
Category : Computers
Languages : en
Pages : 204
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Book Description
Processing opened up the world of programming to artists, designers, educators, and beginners. The Processing.py Python implementation of Processing reinterprets it for today's web. This short book gently introduces the core concepts of computer programming and working with Processing. Written by the co-founders of the Processing project, Reas and Fry, along with co-author Allison Parrish, Getting Started with Processing.py is your fast track to using Python's Processing mode.
Author: Chris Riccomini
Publisher: No Starch Press
ISBN: 1718501846
Category : Computers
Languages : en
Pages : 194
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Book Description
Key concepts and best practices for new software engineers — stuff critical to your workplace success that you weren’t taught in school. For new software engineers, knowing how to program is only half the battle. You’ll quickly find that many of the skills and processes key to your success are not taught in any school or bootcamp. The Missing README fills in that gap—a distillation of workplace lessons, best practices, and engineering fundamentals that the authors have taught rookie developers at top companies for more than a decade. Early chapters explain what to expect when you begin your career at a company. The book’s middle section expands your technical education, teaching you how to work with existing codebases, address and prevent technical debt, write production-grade software, manage dependencies, test effectively, do code reviews, safely deploy software, design evolvable architectures, and handle incidents when you’re on-call. Additional chapters cover planning and interpersonal skills such as Agile planning, working effectively with your manager, and growing to senior levels and beyond. You’ll learn: How to use the legacy code change algorithm, and leave code cleaner than you found it How to write operable code with logging, metrics, configuration, and defensive programming How to write deterministic tests, submit code reviews, and give feedback on other people’s code The technical design process, including experiments, problem definition, documentation, and collaboration What to do when you are on-call, and how to navigate production incidents Architectural techniques that make code change easier Agile development practices like sprint planning, stand-ups, and retrospectives This is the book your tech lead wishes every new engineer would read before they start. By the end, you’ll know what it takes to transition into the workplace–from CS classes or bootcamps to professional software engineering.
