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Monitoring Elasticsearch

Key FeaturesUnderstand common performance and reliability pitfalls in ElasticSearchUse popular monitoring tools such as ElasticSearch-head, BigDesk, Marvel, Kibana, and moreThis is a step-by-step guide with lots of case studies on solving real-world ElasticSearch cluster issuesBook DescriptionElasticSearch is a distributed search server similar to Apache Solr with a focus on large datasets, a sche...

Paperback: 180 pages
Publisher: Packt Publishing - ebooks Account (July 27, 2016)
Language: English
ISBN-10: 9781784397807
ISBN-13: 978-1784397807
ASIN: 1784397806
Product Dimensions: 7.5 x 0.4 x 9.2 inches
Amazon Rank: 3642091
Format: PDF Text djvu ebook

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a-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.What you will learnExplore your cluster with ElasticSearch-head and BigDeskAccess the underlying data of the ElasticSearch monitoring plugins using the ElasticSearch APIAnalyze your cluster’s performance with MarvelTroubleshoot some of the common performance and reliability issues that come up when using ElasticSearchAnalyze a cluster’s historical performance, and get to the bottom of and recover from system failuresUse and install various other tools and plugins such as Kibana and Kopf, which is helpful to monitor ElasticSearchAbout the AuthorDan Noble is a software engineer with a passion for writing secure, clean, and articulate code. He enjoys working with a variety of programming languages and software frameworks, particularly Python, Elasticsearch, and frontend technologies. Dan currently works on geospatial web applications and data processing systems.Dan has been a user and advocate of Elasticsearch since 2011. He has given talks about Elasticsearch at various meetup groups, and is the author of the Python Elasticsearch client rawes. Dan was also a technical reviewer for the Elasticsearch Cookbook, Second Edition, by Alberto Paro.Table of ContentsIntroduction to Monitoring ElasticsearchInstallation and the Requirements for ElasticsearchElasticsearch-head and BigdeskMarvel DashboardSystem MonitoringTroubleshooting Performance and Reliability IssuesNode Failure and Post-Mortem AnalysisLooking Forward