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Elasticsearch Server Third Edition

Elasticsearch Server   Third Edition Author Rafal Kuc
ISBN-10 1785888811
Release 2016-02-29
Pages 556
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Leverage Elasticsearch to create a robust, fast, and flexible search solution with easeAbout This Book- Boost the searching capabilities of your system through synonyms, multilingual data handling, nested objects and parent-child documents- Deep dive into the world of data aggregation and data analysis with ElasticSearch- Explore a wide range of ElasticSearch modules that define the behavior of a clusterWho This Book Is ForIf you are a competent developer and want to learn about the great and exciting world of ElasticSearch, then this book is for you. No prior knowledge of Java or Apache Lucene is needed.What You Will Learn- Configure, create, and retrieve data from your indices- Use an ElasticSearch query DSL to create a wide range of queries- Discover the highlighting and geographical search features offered by ElasticSearch- Find out how to index data that is not flat or data that has a relationship- Exploit a prospective search to search for queries not documents- Use the aggregations framework to get more from your data and improve your client's search experience- Monitor your cluster state and health using the ElasticSearch API as well as third-party monitoring solutions- Discover how to properly set up ElasticSearch for various use casesIn DetailElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch's schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data.This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You'll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You'll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project's specifications.Style and approachThis step-by-step guide is full of screenshots and real-world examples to take you on a journey through the wonderful world of full text search provided by ElasticSearch.



Elasticsearch Server

Elasticsearch Server Author Rafal Kuc
ISBN-10 9781849518444
Release 2013-02-21
Pages 318
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ElasticSearch is an open source search server built on Apache Lucene. It was built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy.Jumping into the world of ElasticSearch by setting up your own custom cluster, this book will show you how to create a fast, scalable, and flexible search solution. By learning the ins-and-outs of data indexing and analysis, "ElasticSearch Server" will start you on your journey to mastering the powerful capabilities of ElasticSearch. With practical chapters covering how to search data, extend your search, and go deep into cluster administration and search analysis, this book is perfect for those new and experienced with search servers.In "ElasticSearch Server" you will learn how to revolutionize your website or application with faster, more accurate, and flexible search functionality. Starting with chapters on setting up your own ElasticSearch cluster and searching and extending your search parameters you will quickly be able to create a fast, scalable, and completely custom search solution.Building on your knowledge further you will learn about ElasticSearch's query API and become confident using powerful filtering and faceting capabilities. You will develop practical knowledge on how to make use of ElasticSearch's near real-time capabilities and support for multi-tenancy.Your journey then concludes with chapters that help you monitor and tune your ElasticSearch cluster as well as advanced topics such as shard allocation, gateway configuration, and the discovery module.



Elasticsearch 5 x Cookbook

Elasticsearch 5 x Cookbook Author Alberto Paro
ISBN-10 9781786466884
Release 2017-02-06
Pages 696
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Over 170 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with Elasticsearch 5.x About This Book Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies Write native plugins to extend the functionalities of Elasticsearch 5.x to boost your business Packed with clear, step-by-step recipes to walk you through the capabilities of Elasticsearch 5.x Who This Book Is For If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the book for you. Some understanding of JSON is expected. If you want to extend Elasticsearch, understanding of Java and related technologies is also required. What You Will Learn Choose the best Elasticsearch cloud topology to deploy and power it up with external plugins Develop tailored mapping to take full control of index steps Build complex queries through managing indices and documents Optimize search results through executing analytics aggregations Monitor the performance of the cluster and nodes Install Kibana to monitor cluster and extend Kibana for plugins Integrate Elasticsearch in Java, Scala, Python and Big Data applications In Detail Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. This book is your one-stop guide to master the complete Elasticsearch ecosystem. We'll guide you through comprehensive recipes on what's new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping, aggregation, and scripting. Further on, you will explore the modules of Cluster and Node monitoring and see ways to back up and restore a snapshot of an index. You will understand how to install Kibana to monitor a cluster and also to extend Kibana for plugins. Finally, you will also see how you can integrate your Java, Scala, Python, and Big Data applications such as Apache Spark and Pig with Elasticsearch, and add enhanced functionalities with custom plugins. By the end of this book, you will have an in-depth knowledge of the implementation of the Elasticsearch architecture and will be able to manage data efficiently and effectively with Elasticsearch. Style and approach This book follows a problem-solution approach to effectively use and manage Elasticsearch. Each recipe focuses on a particular task at hand, and is explained in a very simple, easy to understand manner.



Mastering Elasticsearch Second Edition

Mastering Elasticsearch   Second Edition Author Rafał Kuć
ISBN-10 9781783553808
Release 2015-02-27
Pages 434
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This book is for Elasticsearch users who want to extend their knowledge and develop new skills. Prior knowledge of the Query DSL and data indexing is expected.



Mastering Elasticsearch 5 x

Mastering Elasticsearch 5 x Author Bharvi Dixit
ISBN-10 9781786468871
Release 2017-02-21
Pages 428
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Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions About This Book Master the searching, indexing, and aggregation features in ElasticSearch Improve users' search experience with Elasticsearch's functionalities and develop your own Elasticsearch plugins A comprehensive, step-by-step guide to master the intricacies of ElasticSearch with ease Who This Book Is For If you have some prior working experience with Elasticsearch and want to take your knowledge to the next level, this book will be the perfect resource for you.If you are a developer who wants to implement scalable search solutions with Elasticsearch, this book will also help you. Some basic knowledge of the query DSL and data indexing is required to make the best use of this book. What You Will Learn Understand Apache Lucene and Elasticsearch 5's design and architecture Use and configure the new and improved default text scoring mechanism in Apache Lucene 6 Know how to overcome the pitfalls while handling relational data in Elasticsearch Learn about choosing the right queries according to the use cases and master the scripting module including new default scripting language, painlessly Explore the right way of scaling production clusters to improve the performance of Elasticsearch Master the searching, indexing, and aggregation features in Elasticsearch Develop your own Elasticsearch plugins to extend the functionalities of Elasticsearch In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We'll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We'll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We'll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use. Style and approach This comprehensive guide covers intermediate and advanced concepts in Elasticsearch as well as their implementation. An easy-to-follow approach means you'll be able to master even advanced querying, searching, and administration tasks with ease.



Elasticsearch Server

Elasticsearch Server Author Rafał Kuć
ISBN-10 9781785883620
Release 2016-02-29
Pages 556
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Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease About This Book Boost the searching capabilities of your system through synonyms, multilingual data handling, nested objects and parent-child documents Deep dive into the world of data aggregation and data analysis with ElasticSearch Explore a wide range of ElasticSearch modules that define the behavior of a cluster Who This Book Is For If you are a competent developer and want to learn about the great and exciting world of ElasticSearch, then this book is for you. No prior knowledge of Java or Apache Lucene is needed. What You Will Learn Configure, create, and retrieve data from your indices Use an ElasticSearch query DSL to create a wide range of queries Discover the highlighting and geographical search features offered by ElasticSearch Find out how to index data that is not flat or data that has a relationship Exploit a prospective search to search for queries not documents Use the aggregations framework to get more from your data and improve your client's search experience Monitor your cluster state and health using the ElasticSearch API as well as third-party monitoring solutions Discover how to properly set up ElasticSearch for various use cases In Detail ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch's schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You'll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You'll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project's specifications. Style and approach This step-by-step guide is full of screenshots and real-world examples to take you on a journey through the wonderful world of full text search provided by ElasticSearch.



ElasticSearch Server Second Edition

ElasticSearch Server Second Edition Author Marek Rogozi Ski
ISBN-10 1783980524
Release 2014-04
Pages 428
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This book is a detailed, practical, hands-on guide packed with real-life scenarios and examples which will show you how to implement an ElasticSearch search engine on your own websites. If you are a web developer or a user who wants to learn more about ElasticSearch, then this is the book for you. You do not need to know anything about ElastiSeach, Java, or Apache Lucene in order to use this book, though basic knowledge about databases and queries is required.



Mastering ElasticSearch

Mastering ElasticSearch Author Rafał Kuć
ISBN-10 9781783281442
Release 2013-10-25
Pages 386
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A practical tutorial that covers the difficult design, implementation, and management of search solutions.Mastering ElasticSearch is aimed at to intermediate users who want to extend their knowledge about ElasticSearch. The topics that are described in the book are detailed, but we assume that you already know the basics, like the query DSL or data indexing. Advanced users will also find this book useful, as the examples are getting deep into the internals where it is needed.



ElasticSearch Cookbook

ElasticSearch Cookbook Author Alberto Paro
ISBN-10 9781782166634
Release 2013-12-24
Pages 422
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Written in an engaging, easy-to-follow style, the recipes will help you to extend the capabilities of ElasticSearch to manage your data effectively. If you are a developer who implements ElasticSearch in your web applications, manage data, or have decided to start using ElasticSearch, this book is ideal for you. This book assumes that you’ve got working knowledge of JSON and Java



Solr Cookbook Third Edition

Solr Cookbook   Third Edition Author Rafal Kuc
ISBN-10 1783553154
Release 2015-01-23
Pages 356
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This book is for intermediate Solr Developers who are willing to learn and implement Pro-level practices, techniques, and solutions. This edition will specifically appeal to developers who wish to quickly get to grips with the changes and new features of Apache Solr 5.



Elasticsearch A Complete Guide

Elasticsearch  A Complete Guide Author Bharvi Dixit
ISBN-10 9781787287396
Release 2017-01-31
Pages 826
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End-to-end Search and Analytics About This Book Solve your data analytics problems with the Elastic Stack Improve your user search experience with Elasticsearch and develop your own Elasticsearch plugins Design your index, configure it, and distribute it — you'll also learn how it works Who This Book Is For This course is for anyone who wants to build efficient search and analytics applications. Some development experience is expected. What You Will Learn Install and configure Elasticsearch, Logstash, and Kibana Write CRUDE operations and other search functionalities using the Elasticsearch Python and Java Clients Build analytics using aggregations Set up and scale Elasticsearch clusters using best practices Master document relationships and geospatial data Build your own data pipeline using Elastic Stack Choose the appropriate amount of shards and replicas for your deployment Become familiar with the Elasticsearch APIs In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, open source search and analytics engine. It provides a new level of control over how you can index and search even huge sets of data. This course will take you from the basics of Elasticsearch to using Elasticsearch in the Elastic Stack and in production. You'll start with the very basics: Elasticsearch terminology, installation, and configuring Elasticsearch. After this, you'll take a look at analytics and indexing, search, and querying. You'll learn how to create maps and visualizations. You'll also be briefed on cluster scaling, search and bulk operations, backups, and security. Then you'll be ready to get into Elasticsearch's internal functionalities including caches, Apache Lucene library, and its monitoring capabilities. You'll learn about the practical usage of Elasticsearch configuration parameters and how to use the monitoring API. You'll discover how to improve the user search experience, index distribution, segment statistics, merging, and more. Once you have mastered this, you'll dive into end-to-end visualize-analyze-log techniques with Elastic Stack (also known as the ELK stack). You'll explore Elasticsearch, Logstash, and Kibana and see how to make them work together to build fresh insights and business metrics out of data. You'll be able to use Elasticsearch with other de facto components in order to get the most out of Elasticsearch. By the end of this course, you'll have developed a full-fledged data pipeline. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Elasticsearch Essentials Mastering Elasticsearch, Second Edition Learning ELK Stack Style and approach This course aims to create a smooth learning path that will teach you how to effectively use Elasticsearch with other de facto components and get the most out of Elasticsearch. Through this comprehensive course, you'll learn the basics of Elasticsearch and progress to using Elasticsearch in the Elastic stack and in production.



Scala Design Patterns

Scala Design Patterns Author Ivan Nikolov
ISBN-10 9781788472098
Release 2018-04-09
Pages 396
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Learn how to write efficient, clean, and reusable code with Scala Key Features Unleash the power of Scala and apply it in the real world to build scalable and robust applications. Learn about using and implementing Creational, Structural, Behavioral, and Functional design patterns in Scala Learn how to build scalable and extendable applications efficiently Book Description Design patterns make developers’ lives easier by helping them write great software that is easy to maintain, runs efficiently, and is valuable to the company or people concerned. You’ll learn about the various features of Scala and will be able to apply well-known, industry-proven design patterns in your work. The book starts off by focusing on some of the most interesting and latest features of Scala while using practical real-world examples. We will be learning about IDE’s and Aspect Oriented Programming. We will be looking into different components in Scala. We will also cover the popular "Gang of Four" design patterns and show you how to incorporate functional patterns effectively. The book ends with a practical example that demonstrates how the presented material can be combined in real-life applications. You’ll learn the necessary concepts to build enterprise-grade applications. By the end of this book, you’ll have enough knowledge and understanding to quickly assess problems and come up with elegant solutions. What you will learn Immerse yourself in industry-standard design patterns—structural, creational, and behavioral—to create extraordinary applications See the power of traits and their application in Scala Implement abstract and self types and build clean design patterns Build complex entity relationships using structural design patterns Create applications faster by applying functional design patterns Who this book is for If you want to increase your understanding of Scala and apply design patterns to real-life application development, then this book is for you.Prior knowledge of Scala language is assumed/ expected.



Elasticsearch Essentials

Elasticsearch Essentials Author Bharvi Dixit
ISBN-10 9781784390884
Release 2016-01-30
Pages 240
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Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide About This Book New to ElasticSearch? Here's what you need—a highly practical guide that gives you a quick start with ElasticSearch using easy-to-follow examples; get up and running with ElasticSearch APIs in no time Get the latest guide on ElasticSearch 2.0.0, which contains concise and adequate information on handling all the issues a developer needs to know while handling data in bulk with search relevancy Learn to create large-scale ElasticSearch clusters using best practices Learn from our experts—written by Bharvi Dixit who has extensive experience in working with search servers (especially ElasticSearch) Who This Book Is For Anyone who wants to build efficient search and analytics applications can choose this book. This book is also beneficial for skilled developers, especially ones experienced with Lucene or Solr, who now want to learn Elasticsearch quickly. What You Will Learn Get to know about advanced Elasticsearch concepts and its REST APIs Write CRUD operations and other search functionalities using the ElasticSearch Python and Java clients Dig into wide range of queries and find out how to use them correctly Design schema and mappings with built-in and custom analyzers Excel in data modeling concepts and query optimization Master document relationships and geospatial data Build analytics using aggregations Setup and scale Elasticsearch clusters using best practices Learn to take data backups and secure Elasticsearch clusters In Detail With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store. This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we'll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices. Style and approach This is an easy-to-follow guide with practical examples and clear explanations of the concepts. This fast-paced book believes in providing very rich content focusing majorly on practical implementation. This book will provide you with step-by-step practical examples, letting you know about the common errors and solutions along with ample screenshots and code to ensure your success.



Elasticsearch Indexing

Elasticsearch Indexing Author Huseyin Akdogan
ISBN-10 9781783987030
Release 2015-12-30
Pages 176
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Improve search experiences with ElasticSearch's powerful indexing functionality – learn how with this practical ElasticSearch tutorial, packed with tips! About This Book Improve user's search experience with the correct configuration Deliver relevant search results – fast! Save time and system resources by creating stable clusters Who This Book Is For If you understand the importance of a great search experience this book will show you exactly how to build one with ElasticSearch, one of the world's leading search servers. What You Will Learn Learn how ElasticSearch efficiently stores data – and find out how it can reduce costs Control document metadata with the correct mapping strategies and by configuring indices Use ElasticSearch analysis and analyzers to incorporate greater intelligence and organization across your documents and data Find out how an ElasticSearch cluster works – and learn the best way to configure it Perform high-speed indexing with low system resource cost Improve query relevance with appropriate mapping, suggest API, and other ElasticSearch functionalities In Detail Beginning with an overview of the way ElasticSearch stores data, you'll begin to extend your knowledge to tackle indexing and mapping, and learn how to configure ElasticSearch to meet your users' needs. You'll then find out how to use analysis and analyzers for greater intelligence in how you organize and pull up search results – to guarantee that every search query is met with the relevant results! You'll explore the anatomy of an ElasticSearch cluster, and learn how to set up configurations that give you optimum availability as well as scalability. Once you've learned how these elements work, you'll find real-world solutions to help you improve indexing performance, as well as tips and guidance on safety so you can back up and restore data. Once you've learned each component outlined throughout, you will be confident that you can help to deliver an improved search experience – exactly what modern users demand and expect. Style and approach This is a comprehensive guide to performing efficient indexing and providing relevant search results using mapping, analyzers, and other ElasticSearch functionalities.



Node js 8 the Right Way

Node js 8 the Right Way Author Jim Wilson
ISBN-10 9781680505368
Release 2018-01-04
Pages 336
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Node.js is the platform of choice for creating modern web services. This fast-paced book gets you up to speed on server-side programming with Node.js 8, as you develop real programs that are small, fast, low-profile, and useful. Take JavaScript beyond the browser, explore dynamic language features, and embrace evented programming.Harness the power of the event loop and non-blocking I/O to create highly parallel microservices and applications. This expanded and updated second edition showcases the latest ECMAScript features, current best practices, and modern development techniques. JavaScript is the backbone of the modern web, powering nearly every web app's user interface. Node.js is JavaScript for the server. This greatly expanded second edition introduces new language features while dramatically increasing coverage of core topics. Each hands-on chapter offers progressively more challenging topics and techniques, broadening your skill set and enabling you to think in Node.js. Write asynchronous, non-blocking code using Node.js's style and patterns. Cluster and load balance services with Node.js core features and third-party tools. Harness the power of databases such as Elasticsearch and Redis. Work with many protocols, create RESTful web services, TCP socket clients and servers, and more. Test your code's functionality with Mocha, and manage its life cycle with npm. Discover how Node.js pairs a server-side event loop with a JavaScript runtime to produce screaming fast, non-blocking concurrency. Through a series of practical programming domains, use the latest available ECMAScript features and harness key Node.js classes and popular modules. Create rich command-line tools and a web-based UI using modern web development techniques. Join the smart and diverse community that's rapidly advancing the state of the art in JavaScript development. What You Need: Node.js 8.x Operating system with bash-like shell OMQ (pronounced "Zero-M-Q") library, version 3.2 or higher Elasticsearch version 5.0 or higher jq version 1.5 or higher Redis version 3.2 or higher



Learning Elasticsearch

Learning Elasticsearch Author Abhishek Andhavarapu
ISBN-10 9781787129917
Release 2017-06-30
Pages 404
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Store, search, and analyze your data with ease using Elasticsearch 5.x About This Book Get to grips with the basics of Elasticsearch concepts and its APIs, and use them to create efficient applications Create large-scale Elasticsearch clusters and perform analytics using aggregation This comprehensive guide will get you up and running with Elasticsearch 5.x in no time Who This Book Is For If you want to build efficient search and analytics applications using Elasticsearch, this book is for you. It will also benefit developers who have worked with Lucene or Solr before and now want to work with Elasticsearch. No previous knowledge of Elasticsearch is expected. What You Will Learn See how to set up and configure Elasticsearch and Kibana Know how to ingest structured and unstructured data using Elasticsearch Understand how a search engine works and the concepts of relevance and scoring Find out how to query Elasticsearch with a high degree of performance and scalability Improve the user experience by using autocomplete, geolocation queries, and much more See how to slice and dice your data using Elasticsearch aggregations. Grasp how to use Kibana to explore and visualize your data Know how to host on Elastic Cloud and how to use the latest X-Pack features such as Graph and Alerting In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments. Style and approach This comprehensive guide will get you started with Elasticsearch 5.x, so you build a solid understanding of the basics. Every topic is explained in depth and is supplemented with practical examples to enhance your understanding.



Monitoring Elasticsearch

Monitoring Elasticsearch Author Dan Noble
ISBN-10 9781784391812
Release 2016-07-27
Pages 180
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Monitor your Elasticsearch cluster's health, and diagnose and solve its performance and reliability issues About This Book Understand common performance and reliability pitfalls in ElasticSearch Use popular monitoring tools such as ElasticSearch-head, BigDesk, Marvel, Kibana, and more This is a step-by-step guide with lots of case studies on solving real-world ElasticSearch cluster issues Who This Book Is For This book is for developers and system administrators who use ElasticSearch in a wide range of capacities. Prior knowledge of ElasticSearch and related technologies would be helpful, but is not necessary. What You Will Learn Explore your cluster with ElasticSearch-head and BigDesk Access the underlying data of the ElasticSearch monitoring plugins using the ElasticSearch API Analyze your cluster's performance with Marvel Troubleshoot some of the common performance and reliability issues that come up when using ElasticSearch Analyze a cluster's historical performance, and get to the bottom of and recover from system failures Use and install various other tools and plugins such as Kibana and Kopf, which is helpful to monitor ElasticSearch In Detail ElasticSearch is a distributed search server similar to Apache Solr with a focus on large datasets, a schema-less setup, and high availability. This schema-free architecture allows ElasticSearch to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses with petabytes of unstructured data. This book is your toolkit to teach you how to keep your cluster in good health, and show you how to diagnose and treat unexpected issues along the way. You will start by getting introduced to ElasticSearch, and look at some common performance issues that pop up when using the system. You will then see how to install and configure ElasticSearch and the ElasticSearch monitoring plugins. Then, you will proceed to install and use the Marvel dashboard to monitor ElasticSearch. You will find out how to troubleshoot some of the common performance and reliability issues that come up when using ElasticSearch. Finally, you will analyze your cluster's historical performance, and get to know how to get to the bottom of and recover from system failures. This book will guide you through several monitoring tools, and utilizes real-world cases and dilemmas faced when using ElasticSearch, showing you how to solve them simply, quickly, and cleanly. Style and approach This is a step-by-step guide to monitoring your ElasticSearch cluster and correcting performance issues. It is filled with lots of in-depth, real-world use-cases on solving different ElasticSearch cluster issues.