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Author: Maxwell Dayvson Da Silva Publisher: Packt Publishing Ltd ISBN: 1784396087 Category : Computers Languages : en Pages : 230
Book Description
Harness the power of Redis to integrate and manage your projects efficiently About This Book Learn how to use Redis's data types efficiently to manage large data sets Scale Redis to multiple servers with Twemproxy, Redis Sentinel, and Redis Cluster A fast-paced guide, full of real-world examples to help you get the best out of the features offered by Redis Who This Book Is For If you are a competent developer with experience of working with data structure servers and want to boost your project's performance by learning about features of Redis, then this book is for you. What You Will Learn Build analytics applications using Bitmaps and Hyperloglogs Enhance scalability with Twemproxy, Redis Sentinel, and Redis Cluster Build a Time Series implementation in Node.js and Redis Create your own Redis commands by extending Redis with Lua Get to know security techniques to protect your data (SSL encryption, firewall rules, basic authorization) Persist data to disk and learn the trade-offs of AOF and RDB Understand how to use Node.js, PHP, Python, and Ruby clients for Redis Avoid common pitfalls when designing your next solution In Detail Redis is the most popular in-memory key-value data store. It's very lightweight and its data types give it an edge over the other competitors. If you need an in-memory database or a high-performance cache system that is simple to use and highly scalable, Redis is what you need. Redis Essentials is a fast-paced guide that teaches the fundamentals on data types, explains how to manage data through commands, and shares experiences from big players in the industry. We start off by explaining the basics of Redis followed by the various data types such as Strings, hashes, lists, and more. Next, Common pitfalls for various scenarios are described, followed by solutions to ensure you do not fall into common traps. After this, major differences between client implementations in PHP, Python, and Ruby are presented. Next, you will learn how to extend Redis with Lua, get to know security techniques such as basic authorization, firewall rules, and SSL encryption, and discover how to use Twemproxy, Redis Sentinel, and Redis Cluster to scale infrastructures horizontally. At the end of this book, you will be able to utilize all the essential features of Redis to optimize your project's performance. Style and approach A practical guide that offers the foundation upon which you can begin to understand the capabilities of Redis using a step-by-step approach. This book is full of real-world problems and in-depth knowledge of the concepts and features of Redis, with plenty of examples.
Author: Maxwell Dayvson Da Silva Publisher: Packt Publishing Ltd ISBN: 1784396087 Category : Computers Languages : en Pages : 230
Book Description
Harness the power of Redis to integrate and manage your projects efficiently About This Book Learn how to use Redis's data types efficiently to manage large data sets Scale Redis to multiple servers with Twemproxy, Redis Sentinel, and Redis Cluster A fast-paced guide, full of real-world examples to help you get the best out of the features offered by Redis Who This Book Is For If you are a competent developer with experience of working with data structure servers and want to boost your project's performance by learning about features of Redis, then this book is for you. What You Will Learn Build analytics applications using Bitmaps and Hyperloglogs Enhance scalability with Twemproxy, Redis Sentinel, and Redis Cluster Build a Time Series implementation in Node.js and Redis Create your own Redis commands by extending Redis with Lua Get to know security techniques to protect your data (SSL encryption, firewall rules, basic authorization) Persist data to disk and learn the trade-offs of AOF and RDB Understand how to use Node.js, PHP, Python, and Ruby clients for Redis Avoid common pitfalls when designing your next solution In Detail Redis is the most popular in-memory key-value data store. It's very lightweight and its data types give it an edge over the other competitors. If you need an in-memory database or a high-performance cache system that is simple to use and highly scalable, Redis is what you need. Redis Essentials is a fast-paced guide that teaches the fundamentals on data types, explains how to manage data through commands, and shares experiences from big players in the industry. We start off by explaining the basics of Redis followed by the various data types such as Strings, hashes, lists, and more. Next, Common pitfalls for various scenarios are described, followed by solutions to ensure you do not fall into common traps. After this, major differences between client implementations in PHP, Python, and Ruby are presented. Next, you will learn how to extend Redis with Lua, get to know security techniques such as basic authorization, firewall rules, and SSL encryption, and discover how to use Twemproxy, Redis Sentinel, and Redis Cluster to scale infrastructures horizontally. At the end of this book, you will be able to utilize all the essential features of Redis to optimize your project's performance. Style and approach A practical guide that offers the foundation upon which you can begin to understand the capabilities of Redis using a step-by-step approach. This book is full of real-world problems and in-depth knowledge of the concepts and features of Redis, with plenty of examples.
Author: Josiah Carlson Publisher: Simon and Schuster ISBN: 163835023X Category : Computers Languages : en Pages : 448
Book Description
Summary Redis in Action introduces Redis and walks you through examples that demonstrate how to use it effectively. You'll begin by getting Redis set up properly and then exploring the key-value model. Then, you'll dive into real use cases including simple caching, distributed ad targeting, and more. You'll learn how to scale Redis from small jobs to massive datasets. Experienced developers will appreciate chapters on clustering and internal scripting to make Redis easier to use. About the Technology When you need near-real-time access to a fast-moving data stream, key-value stores like Redis are the way to go. Redis expands on the key-value pattern by accepting a wide variety of data types, including hashes, strings, lists, and other structures. It provides lightning-fast operations on in-memory datasets, and also makes it easy to persist to disk on the fly. Plus, it's free and open source. About this book Redis in Action introduces Redis and the key-value model. You'll quickly dive into real use cases including simple caching, distributed ad targeting, and more. You'll learn how to scale Redis from small jobs to massive datasets and discover how to integrate with traditional RDBMS or other NoSQL stores. Experienced developers will appreciate the in-depth chapters on clustering and internal scripting. Written for developers familiar with database concepts. No prior exposure to NoSQL database concepts nor to Redis itself is required. Appropriate for systems administrators comfortable with programming. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside Redis from the ground up Preprocessing real-time data Managing in-memory datasets Pub/sub and configuration Persisting to disk About the Author Dr. Josiah L. Carlson is a seasoned database professional and an active contributor to the Redis community. Table of Contents PART 1 GETTING STARTED Getting to know Redis Anatomy of a Redis web application PART 2 CORE CONCEPTS Commands in Redis Keeping data safe and ensuring performance Using Redis for application support Application components in Redis Search-based applications Building a simple social network PART 3 NEXT STEPS Reducing memory use Scaling Redis Scripting Redis with Lua
Author: Vinoo Das Publisher: Packt Publishing Ltd ISBN: 1783980133 Category : Computers Languages : en Pages : 318
Book Description
This book will introduce Redis and help you understand its various facets. Starting with an introduction to NoSQL, you will learn how to install Redis and how to classify and work with data structures. By working with real world scenarios pertaining to using Redis, you will discover sharding and indexing techniques, along with how to improve scalability and performance through persistent strategies and data migration techniques. With the help of multiple examples, you will learn to design web and business applications. You will also learn how to configure Redis for setting up clusters and tuning it for performance. At the end of this book, you will find essential tips on backup and recovery strategies for the Redis environment.
Author: Mani Tadayon Publisher: Packt Publishing Ltd ISBN: 1784392952 Category : Computers Languages : en Pages : 223
Book Description
Develop testable, modular, and maintainable Ruby software for the real world using RSpec About This Book Explore the concept of testability and how to implement tests that deliver the most value Maximize the quality of your Ruby code through a wide variety of tests Master the real-world tradeoffs of testing through detailed examples supported by in-depth discussion Who This Book Is For This book is aimed at the software engineer who wants to make their code more reliable and their development process easier. It is also aimed at test engineers who need to automate the testing of complex systems. Knowledge of Ruby is helpful, but even someone new to the language should find it easy to follow the code and tests. What You Will Learn Identify a unit of software for the purposes of testing Manage test states with hooks, fixtures, and mocks Handle external web services in tests using various techniques Configure RSpec flexibly and cleanly using support code and environment variables Interact with rich web apps in tests using Capybara Build the right feature with behavior-driven development Customize matchers and failure messages Verify correct development and production environments In Detail This book will teach you how to use RSpec to write high-value tests for real-world code. We start with the key concepts of the unit and testability, followed by hands-on exploration of key features. From the beginning, we learn how to integrate tests into the overall development process to help create high-quality code, avoiding the dangers of testing for its own sake. We build up sample applications and their corresponding tests step by step, from simple beginnings to more sophisticated versions that include databases and external web services. We devote three chapters to web applications with rich JavaScript user interfaces, building one from the ground up using behavior-driven development (BDD) and test-driven development (TDD). The code examples are detailed enough to be realistic while simple enough to be easily understood. Testing concepts, development methodologies, and engineering tradeoffs are discussed in detail as they arise. This approach is designed to foster the reader's ability to make well-informed decisions on their own. Style and approach This comprehensive tutorial is packed with real-world examples of testing with RSpec. The most important features of RSpec are introduced in the early chapters and are used in examples of growing complexity in the following chapters. Concepts and methodologies are discussed in detail.
Author: Tiago Macedo Publisher: "O'Reilly Media, Inc." ISBN: 1449315410 Category : Computers Languages : en Pages : 74
Book Description
Two years since its initial release, Redis already has an impressive list of adopters, including Engine Yard, GitHub, Craigslist, and Digg. This open source data structure server is built for speed and flexibility, making it ideal for many applications. If you're using Redis, or considering it, this concise cookbook provides recipes for a variety of issues you're likely to face. Each recipe solves a specific problem, and provides an in-depth discussion of how the solution works. You’ll discover that Redis, while simple in nature, offers extensive functionality for manipulating and storing data. Learn when it makes sense to use Redis Explore several methods for installing Redis Connect to Redis in a number of ways, ranging from the command line to popular languages such as Python and Ruby Solve a range of needs, from linked datasets to analytics Handle backups, sharding, datasets larger than available memory, and many other tasks
Author: Emmanouil Gkatziouras Publisher: Packt Publishing Ltd ISBN: 1801813817 Category : Computers Languages : en Pages : 264
Book Description
Start defining your infrastructure using Docker Compose and leverage it for everyday development or deployment Key FeaturesDistribute your code in an easier way for developers to get startedSet up complex infrastructure for development and CI/CD purposesDeploy simple multi-container applications using Docker ComposeBook Description Software development is becoming increasingly complex due to the various software components used. Applications need to be packaged with software components to facilitate their operations, making it complicated to run them. With Docker Compose, a single command can set up your application and the needed dependencies. This book starts with an overview of Docker Compose and its usage and then shows how to create an application. You will also get to grips with the fundamentals of Docker volumes and network, along with Compose commands, their purpose, and use cases. Next, you will set up databases for daily usage using Compose and, leveraging Docker networking, you will establish communication between microservices. You will also run entire stacks locally on Compose, simulate production environments, and enhance CI/CD jobs using Docker Compose. Later chapters will show you how to benefit from Docker Compose for production deployments, provision infrastructure on public clouds such as AWS and Azure, and wrap up with Compose deployments on said infrastructure. By the end of this book, you will have learned how to effectively utilize Docker Compose for day-to-day development. What you will learnCreate multi-container applications using Docker ComposeUse Docker Compose for daily developmentConnect microservices leveraging Docker network fundamentalsAdd monitoring to services leveraging PrometheusDeploy to production using Docker ComposeTranslate Compose files to Kubernetes deploymentsWho this book is for This book is for software engineers, developer advocates, and DevOps engineers looking to set up multi-container Docker applications using Compose without the need to set up a Docker orchestration engine. It is also for team leads looking to increase the productivity of an organization's software teams by streamlining the provisioning of complex development environments locally using Docker Compose. Readers are expected to understand containerization and must possess fundamental Docker knowledge to get started with this book.
Author: Luigi Fugaro Publisher: Packt Publishing Ltd ISBN: 1837637598 Category : Computers Languages : en Pages : 336
Book Description
Discover the multi-model capabilities of Redis Stack as a document store and vector database, with support for time series, stream processing, probabilistic data structures, and more Key Features Model, index, and search data using JSON and vector data types Modernize your applications with vector similarity search, documents hybrid search, and more Configure a scalable, highly available, and secure server using RedisInsight Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn modern applications, efficiency in both operational and analytical aspects is paramount, demanding predictable performance across varied workloads. This book introduces you to Redis Stack, an extension of Redis and guides you through its broad data modeling capabilities. With practical examples of real-time queries and searches, you’ll explore Redis Stack’s new approach to providing a rich data modeling experience all within the same database server. You’ll learn how to model and search your data in the JSON and hash data types and work with features such as vector similarity search, which adds semantic search capabilities to your applications to search for similar texts, images, or audio files. The book also shows you how to use the probabilistic Bloom filters to efficiently resolve recurrent big data problems. As you uncover the strengths of Redis Stack as a data platform, you’ll explore use cases for managing database events and leveraging introduce stream processing features. Finally, you’ll see how Redis Stack seamlessly integrates into microservices architectures, completing the picture. By the end of this book, you’ll be equipped with best practices for administering and managing the server, ensuring scalability, high availability, data integrity, stored functions, and more.What you will learn Get started with data modeling using JSON and hash documents, vectors, and time series Implement microservices patterns and resolve typical use cases Use probabilistic data structures to analyze datasets and streams Integrate Redis Stack into your Java, Python, C#, Golang, and Node.js projects Develop powerful data flows using triggers and stream processing features Manage your database server for scalability, high availability, and security Visualize and manage your data with RedisInsight Who this book is for This book is for database administrators, database developers, software developers, and software architects who want to discover the powerful real-time, multi-model capabilities of the Redis Stack database. A basic understanding of Redis and databases in general, coupled with software development skills in at least one of Java, Python, C#, Golang, or JavaScript languages will help you understand the concepts covered in this book.
Author: Sergio Méndez Publisher: Packt Publishing Ltd ISBN: 1800566980 Category : Computers Languages : en Pages : 458
Book Description
Understand how to use K3s and k3OS for different use cases and discover best practices for building an edge computing system Key FeaturesA guide to implementing an edge computing environmentReduce latency and costs for real-time applications running at the edgeFind stable and relevant cloud native open source software to complement your edge environmentsBook Description Edge computing is a way of processing information near the source of data instead of processing it on data centers in the cloud. In this way, edge computing can reduce latency when data is processed, improving the user experience on real-time data visualization for your applications. Using K3s, a light-weight Kubernetes and k3OS, a K3s-based Linux distribution along with other open source cloud native technologies, you can build reliable edge computing systems without spending a lot of money. In this book, you will learn how to design edge computing systems with containers and edge devices using sensors, GPS modules, WiFi, LoRa communication and so on. You will also get to grips with different use cases and examples covered in this book, how to solve common use cases for edge computing such as updating your applications using GitOps, reading data from sensors and storing it on SQL and NoSQL databases. Later chapters will show you how to connect hardware to your edge clusters, predict using machine learning, and analyze images with computer vision. All the examples and use cases in this book are designed to run on devices using 64-bit ARM processors, using Raspberry Pi devices as an example. By the end of this book, you will be able to use the content of these chapters as small pieces to create your own edge computing system. What you will learnConfigure k3OS and K3s for development and production scenariosPackage applications into K3s for shipped-node scenariosDeploy in occasionally connected scenarios, from one node to one million nodesManage GitOps for applications across different locationsUse open source cloud native software to complement your edge computing systemsImplement observability event-driven and serverless edge applicationsCollect and process data from sensors at the edge and visualize it into the cloudWho this book is for This book is for engineers (developers and/or operators) seeking to bring the cloud native benefits of GitOps and Kubernetes to the edge. Anyone with basic knowledge of Linux and containers looking to learn Kubernetes using examples applied to edge computing and hardware systems will benefit from this book.
Author: Bernd Nordhausen Publisher: Packt Publishing Ltd ISBN: 1804616419 Category : Computers Languages : en Pages : 180
Book Description
Become an expert in Terraform on Google Cloud by using Infrastructure as Code for provisioning multiple yet consistent environments to increase productivity in no time Key FeaturesGet up and running with Terraform on Google CloudLearn Terraform concepts using Google Cloud code examplesApply Terraform to deploy realistic multi-tiered architectures quickly and repeatedlyBook Description Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud. This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you'll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you'll also be able to improve your Terraform workflow using Google Cloud native and third-party tools. By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely. What you will learnAuthenticate Terraform in Google Cloud using multiple methodsWrite efficient Terraform codeUse modules to share Terraform templatesManage multiple environments in Google CloudApply Terraform to deploy multi-tiered architecturesUse public modules to deploy complex architectures quicklyIntegrate Terraform into your Google Cloud environmentWho this book is for This book is for Google Cloud architects and engineers who want to increase their productivity by using Terraform to automate the provisioning of Google Cloud deployments. A basic understanding of Google Cloud, such as the ability to provision resources using the Google Cloud console and using Cloud Shell, is assumed. Certification in Google Cloud is not required but helpful.
Author: Maxwell Dayvson Da Silva
Author: Maxwell Dayvson Da Silva
Author: Josiah Carlson
Author: Cybellium Ltd
Author: Vinoo Das
Author: Mani Tadayon
Author: Tiago Macedo
Author: Emmanouil Gkatziouras
Author: Luigi Fugaro
Author: Sergio Méndez
Author: Bernd Nordhausen