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Monitoring Elasticsearch
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Book Synopsis Monitoring Elasticsearch by : Dan Noble
Download or read book Monitoring Elasticsearch written by Dan Noble and published by Packt Publishing Ltd. This book was released on 2016-07-27 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Mastering ElasticSearch by : Cybellium Ltd
Download or read book Mastering ElasticSearch written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveil the Power of ElasticSearch for Efficient Data Search and Analysis Are you ready to explore the realm of advanced data search and analysis? "Mastering Elasticsearch" is your definitive guide to harnessing the capabilities of ElasticSearch for unlocking insights and making informed decisions. Whether you're a data enthusiast or a professional seeking to optimize data retrieval, this comprehensive book equips you with the knowledge and skills to navigate the intricacies of ElasticSearch and create high-performance applications. Key Features: 1. Deep Dive into ElasticSearch: Immerse yourself in the core principles of ElasticSearch, understanding its architecture, indexing, and querying mechanisms. Build a strong foundation that empowers you to harness the full potential of this powerful search engine. 2. Indexing Strategies: Explore advanced indexing techniques for efficiently storing and retrieving data. Learn about document structures, data normalization, and custom mapping to optimize search performance. 3. Search Query Mastery: Master the art of crafting precise and complex search queries. Dive into full-text search, filtering, aggregation, and geospatial queries, enabling you to extract meaningful insights from large datasets. 4. Scaling and Performance Optimization: Discover strategies for scaling ElasticSearch to handle massive amounts of data. Learn about sharding, replication, and optimization techniques that ensure high availability and responsiveness. 5. Data Analysis and Visualization: Uncover techniques for data analysis and visualization using ElasticSearch. Explore aggregations, histograms, and date math, and learn how to create insightful visualizations that aid decision-making. 6. Elasticsearch for Logging and Monitoring: Delve into the world of logging and monitoring using ElasticSearch and the ELK stack (Elasticsearch, Logstash, Kibana). Learn how to centralize logs, monitor system performance, and gain real-time insights. 7. Security and Access Control: Explore strategies for securing your ElasticSearch cluster. Learn about authentication, authorization, and encryption mechanisms that protect your data and prevent unauthorized access. 8. Machine Learning Integration: Discover how to integrate machine learning capabilities into ElasticSearch workflows. Learn how to build and deploy machine learning models for tasks such as anomaly detection and predictive analysis. 9. Elasticsearch in Real-World Applications: Explore real-world use cases of ElasticSearch across industries. From e-commerce to healthcare, learn how organizations are leveraging ElasticSearch to drive business success. 10. Future Trends and Advancements: Gain insights into the future trends and advancements in ElasticSearch. Explore topics such as new features, integration possibilities, and emerging use cases. Who This Book Is For: "Mastering Elasticsearch" is an essential resource for data professionals, developers, system administrators, and enthusiasts eager to unlock the potential of ElasticSearch. Whether you're a novice seeking a comprehensive introduction or an experienced practitioner aiming to enhance your ElasticSearch skills, this book will guide you through the intricacies and empower you to create high-performance applications.
Book Synopsis Learning Elasticsearch by : Abhishek Andhavarapu
Download or read book Learning Elasticsearch written by Abhishek Andhavarapu and published by Packt Publishing Ltd. This book was released on 2017-06-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Art of Monitoring by : James Turnbull
Download or read book The Art of Monitoring written by James Turnbull and published by James Turnbull. This book was released on 2014-12 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on and introductory guide to the art of modern application and infrastructure monitoring and metrics. We start small and then build on what you learn to scale out to multi-site, multi-tier applications. The book is written for both developers and sysadmins. We focus on building monitored and measurable applications. We also use tools that are designed to handle the challenges of managing Cloud, containerised and distributed applications and infrastructure. In the book we'll deliver: * An introduction to monitoring, metrics and measurement. * A scalable framework for monitoring hosts (including Docker and containers), services and applications built on top of the Riemann event stream processor. * Graphing and metric storage using Graphite and Grafana. * Logging with Logstash. * A framework for high quality and useful notifications * Techniques for developing and building monitorable applications * A capstone that puts all the pieces together to monitor a multi-tier application.
Book Synopsis Learning Elasticsearch 7.x by : Anurag Srivastava
Download or read book Learning Elasticsearch 7.x written by Anurag Srivastava and published by BPB Publications. This book was released on 2020-12-09 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide that will teach you how to use Elasticsearch in your application effectively Ê KEY FEATURESÊÊÊ _Ê Get familiar with the core concepts of Elasticsearch. _Ê Understand how the search engine works and how Elasticsearch is different from other similar tools. _Ê Learn to install Elasticsearch on different operating systems. _Ê Get familiar with the components of Elastic Stack such as Kibana, Logstash, and Beats, etc. _Ê Learn how to import data from different sources such as RDBMS, and files, etc DESCRIPTIONÊ In the modern Information Technology age, we are flooded with loads of data so we should know how to handle those data and transform them to fetch meaningful information. This book is here to help you manage the data using Elasticsearch. The book starts by covering the fundamentals of Elasticsearch and the concept behind it. After the introduction, you will learn how to install Elasticsearch on different platforms. You will then get to know about Index Management where you will learn to create, update, and delete Elasticsearch indices. Then you will understand how the Query DSL works and how to write some complex search queries using the Query DSL. After completing these basic features, you will move to some advanced topics. Under advanced topics, you will learn to handle Geodata which can be used to plot the data on a map. The book then focuses on Data Analysis using Aggregation.Ê You will then learn how to tune Elasticsearch performance. The book ends with a chapter on Elasticsearch administration. Ê WHAT YOU WILL LEARN Ê_Ê Learn how to create and manage a cluster _Ê Work with different components of Elastic Stack _Ê Review the list of top Information Security certifications. _Ê Get to know more about Elasticsearch Index Management. _Ê Understand how to improve the performance by tuning Elasticsearch Ê ÊWHO THIS BOOK IS FORÊ This book is for developers, architects, DBA, DevOps, and other readers who want to learn Elasticsearch efficiently and want to apply that in their application whether it is a new one or an existing one. It is also beneficial to those who want to play with their data using Elasticsearch. Basic computer programming is a prerequisite. Ê TABLE OF CONTENTS 1 Getting started with Elasticsearch 2 Installation Elasticsearch 3 Working with Elastic Stack 4 Preparing your data 5 Importing Data into Elasticsearch 6 Managing Your Index 7 Apply Search on Your Data 8 Handling Geo with Elasticsearch 9 Aggregating Your Data 10 Improving the Performance 11 Administer Elasticsearch
Book Synopsis Advanced Mastery of Elasticsearch: Innovative Search Solutions Explored by : Peter Jones
Download or read book Advanced Mastery of Elasticsearch: Innovative Search Solutions Explored written by Peter Jones and published by Walzone Press. This book was released on 2024-10-17 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the full potential of Elasticsearch with our definitive guide, "Advanced Mastery of Elasticsearch: Innovative Search Solutions Explored." This comprehensive book is crafted for professionals aspiring to enhance their skills in developing robust, scalable search and analytics solutions. Whether you're a software developer, data analyst, system administrator, or IT professional, this resource covers everything from setup, configuration, and cluster management to advanced querying, data indexing, and security. Delve deep into the core concepts of Elasticsearch architecture, uncover the intricacies of Query DSL, and master text analysis with analyzers, tokenizers, and filters. Discover best practices for managing large datasets, optimizing performance, and ensuring your deployments are secure and efficient. Each chapter is meticulously organized to build on your knowledge, offering detailed insights and practical examples to address real-world challenges. "Advanced Mastery of Elasticsearch: Innovative Search Solutions Explored" is more than a book; it's an indispensable resource guiding you through the creation of cutting-edge search and analytics implementations. Elevate your Elasticsearch expertise and revolutionize how you handle data in your organization.
Book Synopsis Elasticsearch in Action by : Roy Russo
Download or read book Elasticsearch in Action written by Roy Russo and published by Simon and Schuster. This book was released on 2015-11-17 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You'll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you'll pick up the core concepts you need to implement basic searches and efficient indexing. With the fundamentals well in hand, you'll go on to gain an organized view of how to optimize your design. Perfect for developers and administrators building and managing search-oriented applications. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Modern search seems like magic—you type a few words and the search engine appears to know what you want. With the Elasticsearch real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work. About the Book Elasticsearch in Action teaches you how to write applications that deliver professional quality search. As you read, you'll learn to add basic search features to any application, enhance search results with predictive analysis and relevancy ranking, and use saved data from prior searches to give users a custom experience. This practical book focuses on Elasticsearch's REST API via HTTP. Code snippets are written mostly in bash using cURL, so they're easily translatable to other languages. What's Inside What is a great search application? Building scalable search solutions Using Elasticsearch with any language Configuration and tuning About the Reader For developers and administrators building and managing search-oriented applications. About the Authors Radu Gheorghe is a search consultant and software engineer. Matthew Lee Hinman develops highly available, cloud-based systems. Roy Russo is a specialist in predictive analytics. Table of Contents PART 1 CORE ELASTICSEARCH FUNCTIONALITY Introducing Elasticsearch Diving into the functionality Indexing, updating, and deleting data Searching your data Analyzing your data Searching with relevancy Exploring your data with aggregations Relations among documents PART 2 ADVANCED ELASTICSEARCH FUNCTIONALITY Scaling out Improving performance Administering your cluster
Book Synopsis Monitoring Overview for IBM Spectrum Scale and IBM Elastic Storage Server by : Kedar Karmarkar
Download or read book Monitoring Overview for IBM Spectrum Scale and IBM Elastic Storage Server written by Kedar Karmarkar and published by IBM Redbooks. This book was released on 2017-07-28 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM® Spectrum Scale is software-defined storage for high-performance, large-scale workloads. IBM SpectrumTM Scale (formerly IBM General parallel file system or GPFS) is a scalable data and file management solution that provides a global namespace for large data sets along with several enterprise features. IBM Spectrum ScaleTM is used in clustered environments and provides file protocol (POSIX, NFS, and SMB) and object protocol (Swift and S3) access methods. IBM Elastic StorageTM Server (ESS) is a software-defined storage system that is built upon proven IBM Power SystemsTM, IBM Spectrum Scale software, and storage enclosures. ESS allows for capacity scale up or scale out for performance in modular building blocks, which enables sharing for large data sets across workloads with unified storage pool for file, object, and Hadoop workloads. ESS uses erasure coding-based declustered RAID technology that was developed by IBM to rebuild failed disks in few minutes instead of days. IBM ESS and IBM Spectrum Scale are implemented in scalable environments that are running enterprise workloads. ESS and IBM Spectrum Scale are key components of the enterprise infrastructure. With growing expectations of availability on enterprise infrastructures, monitoring IBM Spectrum Scale, ESS health, and performance is an important function for any IT administrator. This IBM RedpaperTM publication provides an overview of key parameters and methods of IBM Spectrum Scale and ESS monitoring. The audience for this document is IT architects, IT administrators, storage administrators, and users who want to learn more about the administration of an IBM Spectrum Scale and ESS system. This document can be used to monitorfor the environments with IBM Spectrum Scale version 4.2.2.X0 or later. The examples in the document are based on IBM Spectrum Scale 4.2.2.X and ESS 5.0.X.X versions.
Book Synopsis Mastering Elasticsearch by : Saravanan Kuppusamy
Download or read book Mastering Elasticsearch written by Saravanan Kuppusamy and published by Saravanan. This book was released on 2024-06-05 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to Mastering Elasticsearch: A Comprehensive Guide. If you're reading this book, it's because you've recognized Elasticsearch's immense potential and are eager to utilize its power for your projects and organization. This guide is designed for data engineers, developers, architects, and anyone seeking to navigate the intricacies of Elasticsearch, empowering you to extract valuable insights from data efficiently. Mastering Elasticsearch serves as your definitive guide to unlocking the full potential of this powerful search engine, known for its versatility in managing modern data. Whether you're a developer, data engineer, or system architect, this book provides the skills to leverage Elasticsearch’s capabilities, giving you a critical edge in search and data analytics. Why Elasticsearch? In today's digital landscape, the sheer volume of data generated every second is staggering. We face the challenge of searching, analyzing, and making sense of this data to deliver actionable insights. Elasticsearch, a cornerstone of the ELK (Elasticsearch, Logstash, Kibana) stack, has emerged as a leading search and analytics engine, renowned for its speed, scalability, and flexibility. It powers systems from full-text search to complex, real-time analytics, handling massive datasets and providing mission-critical support to global organizations. This book takes you on a journey through the vast capabilities of Elasticsearch, from foundational concepts to advanced implementations. Whether you're setting up your first cluster or looking to fine-tune existing deployments, this guide will offer insights tailored to your needs. Foundational Understanding: We'll begin with a robust introduction to Elasticsearch's architecture, terminology, and basic operations. You'll understand how Elasticsearch indexes, searches, and maps data to provide rapid search results. Cluster Architecture: Gain a thorough understanding of Elasticsearch’s distributed architecture, from nodes and shards to clusters, and how these elements work together for horizontal scaling. Indexing Techniques: Learn about creating, managing, and optimizing indices, the cornerstone of Elasticsearch data storage, for efficient search operations. Intermediate Techniques: Building on this foundation, we'll delve into more advanced features such as aggregations, data visualization, and effective index management. We'll discuss geo queries, nested data structures, and how to optimize queries to handle complex data types. Advanced Topics: In the final section, you'll encounter specialized topics like performance tuning, scaling Elasticsearch clusters, and developing custom plugins. We'll explore practical strategies for enhancing security, setting up monitoring, and employing machine learning features to identify patterns and trends in your data. Advanced Querying and Aggregation: Query DSL: Master Elasticsearch’s Query Domain-Specific Language, enabling you to construct sophisticated queries that handle nuanced search requirements with precision. Aggregations: Dive deep into aggregation frameworks that provide powerful tools for real-time analytics, including complex aggregations like nested, scripted, and pipeline. Data Ingestion and Integration: Ingestion Pipelines: Explore ways to seamlessly ingest and transform data with Elasticsearch’s ingest nodes and processors. External Integrations: Implement data ingestion strategies using Logstash, Beats, and other ETL solutions to connect with various data sources. Indexing Strategy: Optimize indexing through sharding, replication, and customized mapping. Caching and Memory: Leverage caching mechanisms and JVM tuning to reduce latency and boost throughput. Security Practices: Implement robust security through authentication, authorization, and encryption to safeguard sensitive data. Monitoring and Troubleshooting: Use Kibana and other tools for real-time monitoring and diagnostics, ensuring high availability and minimizing downtime. Case Studies: Examine case studies that showcase Elasticsearch’s versatility, from e-commerce search solutions to log analytics and beyond. This book aims to cater to both newcomers and seasoned Elasticsearch users. If you're starting out, we'll guide you through initial setup and offer step-by-step instructions to implement core features. Experienced users will find fresh insights, best practices, and advanced techniques to elevate their Elasticsearch knowledge. The book is structured to offer a comprehensive understanding of Elasticsearch while maintaining accessibility. Each chapter provides practical examples, code snippets, and exercises that reinforce key concepts. By working through the examples, you'll gain the confidence to tackle real-world Elasticsearch projects, whether for search, analytics, or application logging. I wrote this guide with the intention of creating a one-stop resource for all things Elasticsearch. With constant evolution in the software and big data landscape, it's essential to stay updated with the latest practices and developments. This guide aims to cover both tried-and-tested fundamentals and emerging trends to ensure you're well-prepared for the challenges ahead. Finally, thank you for choosing this book. I'm thrilled to share my knowledge and insights with you as you begin your journey toward Mastering the Elasticsearch. Let's work together to fully unlock this incredible technology, enabling us to build faster, smarter, and more efficient applications. By the end of Mastering Elasticsearch, you'll have the expertise needed to design, implement, and manage scalable and secure search applications. You'll gain both theoretical understanding and practical insights, enabling you to tailor Elasticsearch to your organization's unique data management needs.
Book Synopsis Elasticsearch 7 Quick Start Guide by : Anurag Srivastava
Download or read book Elasticsearch 7 Quick Start Guide written by Anurag Srivastava and published by Packt Publishing Ltd. This book was released on 2019-10-24 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the most out of Elasticsearch 7’s new features to build, deploy, and manage efficient applications Key FeaturesDiscover the new features introduced in Elasticsearch 7Explore techniques for distributed search, indexing, and clusteringGain hands-on knowledge of implementing Elasticsearch for your enterpriseBook Description Elasticsearch is one of the most popular tools for distributed search and analytics. This Elasticsearch book highlights the latest features of Elasticsearch 7 and helps you understand how you can use them to build your own search applications with ease. Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. You'll learn how to install, configure, manage, secure, and deploy Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also understand how to troubleshoot any issues that you may encounter along the way. Finally, the book will help you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results. By the end of this book, you'll have a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch. What you will learnInstall Elasticsearch and use it to safely store data and retrieve it when neededWork with a variety of analyzers and filtersDiscover techniques to improve search results in ElasticsearchUnderstand how to perform metric and bucket aggregationsImplement best practices for moving clusters and applications to productionExplore various techniques to secure your Elasticsearch clustersWho this book is for This book is for software developers, engineers, data architects, system administrators, and anyone who wants to get up and running with Elasticsearch 7. No prior experience with Elasticsearch is required.
Book Synopsis Learning Elastic Stack 7.0 by : Pranav Shukla
Download or read book Learning Elastic Stack 7.0 written by Pranav Shukla and published by Packt Publishing Ltd. This book was released on 2019-05-31 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0 Key FeaturesGain access to new features and updates introduced in Elastic Stack 7.0Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and KibanaExplore useful tips for using Elastic Cloud and deploying Elastic Stack in production environmentsBook Description The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and help you use it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools, and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well versed with the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems. What you will learnInstall and configure an Elasticsearch architectureSolve the full-text search problem with ElasticsearchDiscover powerful analytics capabilities through aggregations using ElasticsearchBuild a data pipeline to transfer data from a variety of sources into Elasticsearch for analysisCreate interactive dashboards for effective storytelling with your data using KibanaLearn how to secure, monitor and use Elastic Stack’s alerting and reporting capabilitiesTake applications to an on-premise or cloud-based production environment with Elastic StackWho this book is for This book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and how the real-time processing and search engine works for business analytics and enterprise search applications. Previous experience with Elastic Stack is not required, however knowledge of data warehousing and database concepts will be helpful.
Book Synopsis Learning Elastic Stack 6.0 by : Pranav Shukla
Download or read book Learning Elastic Stack 6.0 written by Pranav Shukla and published by Packt Publishing Ltd. This book was released on 2017-12-22 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deliver end-to-end real-time distributed data processing solutions by leveraging the power of Elastic Stack 6.0 Key Features - Get to grips with the new features introduced in Elastic Stack 6.0 - Get valuable insights from your data by working with the different components of the Elastic stack such as Elasticsearch, Logstash, Kibana, X-Pack, and Beats - Includes handy tips and techniques to build, deploy and manage your Elastic applications efficiently on-premise or on the cloud Book Description The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems. What you will learn - Familiarize yourself with the different components of the Elastic Stack - Get to know the new functionalities introduced in Elastic Stack 6.0 - Effectively build your data pipeline to get data from terabytes or petabytes of data into Elasticsearch and Logstash for searching and logging - Use Kibana to visualize data and tell data stories in real-time - Secure, monitor, and use the alerting and reporting capabilities of Elastic Stack - Take your Elastic application to an on-premise or cloud-based production environment Who this book is for This book is for data professionals who want to get amazing insights and business metrics from their data sources. If you want to get a fundamental understanding of the Elastic Stack for distributed, real-time processing of data, this book will help you. A fundamental knowledge of JSON would be useful, but is not mandatory. No previous experience with the Elastic Stack is required.
Download or read book Apache Solr written by Dikshant Shahi and published by Apress. This book was released on 2015-12-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build an enterprise search engine using Apache Solr: index and search documents; ingest data from varied sources; apply various text processing techniques; utilize different search capabilities; and customize Solr to retrieve the desired results. Apache Solr: A Practical Approach to Enterprise Search explains each essential concept-backed by practical and industry examples--to help you attain expert-level knowledge. The book, which assumes a basic knowledge of Java, starts with an introduction to Solr, followed by steps to setting it up, indexing your first set of documents, and searching them. It then introduces you to information retrieval and its implementation in Apache Solr; this will help you understand your search problem, decide the approach to build an effective solution, and use various metrics to evaluate the results. The book next covers the schema design and techniques to build a text analysis chain for cleansing, normalizing and enriching your documents and addressing different types of search queries. It describes various popular matching techniques which are generally applied to improve the precision and recall of searches. You will learn the end-to-end process of data ingestion from varied sources, metadata extraction, pre-processing and transformation of content, various search components, query parsers and other advanced search capabilities. After covering out-of-the-box features, Solr expert Dikshant Shahi dives into ways you can customize Solr for your business and its specific requirements, along with ways to plug in your own components. Most important, you will learn about implementations for Solr scoring, factors affecting the document score, and tuning the score for the application at hand. The book explains why textual scoring is not sufficient for practical ranking of documents and ways to integrate real-world factors for contributing to the document ranking. You'll see how to influence user experience by providing suggestions and recommendations. You'll also see integration of Solr with important related technologies such as OpenNLP and Tika. Additionally, you will learn about scaling Solr using SolrCloud. This book concludes with coverage of semantic search capabilities, which is crucial for taking the search experience to the next level. By the end of Apache Solr, you will be proficient in designing and developing your search engine.
Book Synopsis Mastering Elastic Stack by : Yuvraj Gupta
Download or read book Mastering Elastic Stack written by Yuvraj Gupta and published by Packt Publishing Ltd. This book was released on 2017-02-28 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the most out of the Elastic Stack for various complex analytics using this comprehensive and practical guide About This Book Your one-stop solution to perform advanced analytics with Elasticsearch, Logstash, and Kibana Learn how to make better sense of your data by searching, analyzing, and logging data in a systematic way This highly practical guide takes you through an advanced implementation on the ELK stack in your enterprise environment Who This Book Is For This book cater to developers using the Elastic stack in their day-to-day work who are familiar with the basics of Elasticsearch, Logstash, and Kibana, and now want to become an expert at using the Elastic stack for data analytics. What You Will Learn Build a pipeline with help of Logstash and Beats to visualize Elasticsearch data in Kibana Use Beats to ship any type of data to the Elastic stack Understand Elasticsearch APIs, modules, and other advanced concepts Explore Logstash and it's plugins Discover how to utilize the new Kibana UI for advanced analytics See how to work with the Elastic Stack using other advanced configurations Customize the Elastic Stack and plugin development for each of the component Work with the Elastic Stack in a production environment Explore the various components of X-Pack in detail. In Detail Even structured data is useless if it can't help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We'll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we'll show you some best practices and troubleshooting techniques for the Elastic Stack. Style and approach This practical guide shows you how to perform advanced analytics with the Elastic stack through real-world use cases. It includes common and some not so common scenarios to use the Elastic stack for data analysis.
Book Synopsis Mastering Microservices with Java by : Sourabh Sharma
Download or read book Mastering Microservices with Java written by Sourabh Sharma and published by Packt Publishing Ltd. This book was released on 2019-02-26 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of implementing scalable and reactive microservices in your production environment with Java 11 Key FeaturesUse domain-driven designs to build microservicesExplore various microservices design patterns such as service discovery, registration, and API GatewayUse Kafka, Avro, and Spring Streams to implement event-based microservicesBook Description Microservices are key to designing scalable, easy-to-maintain applications. This latest edition of Mastering Microservices with Java, works on Java 11. It covers a wide range of exciting new developments in the world of microservices, including microservices patterns, interprocess communication with gRPC, and service orchestration. This book will help you understand how to implement microservice-based systems from scratch. You'll start off by understanding the core concepts and framework, before focusing on the high-level design of large software projects. You'll then use Spring Security to secure microservices and test them effectively using REST Java clients and other tools. You will also gain experience of using the Netflix OSS suite, comprising the API Gateway, service discovery and registration, and Circuit Breaker. Additionally, you'll be introduced to the best patterns, practices, and common principles of microservice design that will help you to understand how to troubleshoot and debug the issues faced during development. By the end of this book, you'll have learned how to build smaller, lighter, and faster services that can be implemented easily in a production environment. What you will learnUse domain-driven designs to develop and implement microservicesUnderstand how to implement microservices using Spring BootExplore service orchestration and distributed transactions using the SagasDiscover interprocess communication using REpresentational State Transfer (REST) and eventsGain knowledge of how to implement and design reactive microservicesDeploy and test various microservicesWho this book is for This book is designed for Java developers who are familiar with microservices architecture and now want to effectively implement microservices at an enterprise level. Basic knowledge and understanding of core microservice elements and applications is necessary.
Book Synopsis Kibana 7 Quick Start Guide by : Anurag Srivastava
Download or read book Kibana 7 Quick Start Guide written by Anurag Srivastava and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: A quick start guide to visualize your Elasticsearch data Key FeaturesYour hands-on guide to visualizing the Elasticsearch data as well as navigating the Elastic stackWork with different Kibana plugins and create effective machine learning jobs using KibanaBuild effective dashboards and reports without any hassleBook Description The Elastic Stack is growing rapidly and, day by day, additional tools are being added to make it more effective. This book endeavors to explain all the important aspects of Kibana, which is essential for utilizing its full potential. This book covers the core concepts of Kibana, with chapters set out in a coherent manner so that readers can advance their learning in a step-by-step manner. The focus is on a practical approach, thereby enabling the reader to apply those examples in real time for a better understanding of the concepts and to provide them with the correct skills in relation to the tool. With its succinct explanations, it is quite easy for a reader to use this book as a reference guide for learning basic to advanced implementations of Kibana. The practical examples, such as the creation of Kibana dashboards from CSV data, application RDBMS data, system metrics data, log file data, APM agents, and search results, can provide readers with a number of different drop-off points from where they can fetch any type of data into Kibana for the purpose of analysis or dashboarding. What you will learnExplore how Logstash is configured to fetch CSV dataUnderstand how to create index patterns in KibanaBecome familiar with how to apply filters on dataDiscover how to create ML jobsExplore how to analyze APM data from APM agentsGet to grips with how to save, share, inspect, and edit visualizationsUnderstand how to find an anomaly in dataWho this book is for Kibana 7 Quick Start Guide is for developers new to Kibana who want to learn the fundamentals of using the tool for visualization, as well as existing Elastic developers.
Book Synopsis Application Observability with Elastic by : Navin Sabharwal
Download or read book Application Observability with Elastic written by Navin Sabharwal and published by BPB Publications. This book was released on 2022-01-28 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real User Monitoring, Application Performance Monitoring, Alerting, and Dashboarding Using Elastic Stack KEY FEATURES ● Numerous examples and visual representations of Elastic APM's capabilities. ● Covers Elastic APM cloud deployment, Kubernetes clusters, and real-user monitoring. ● Includes Kibana's visualization, Alerting and Dashboarding features. DESCRIPTION This book teaches an APM engineer how to monitor software services and applications in real time, including collecting detailed performance data on the response time for incoming requests, database queries, cache calls, and external HTTP requests. The book helps readers to explore the architecture and components of the Elastic APM stack. It also teaches you how to architect, deploy, and configure the Elastic APM stack to meet your specific requirements. The book focuses on monitoring and observability for applications and infrastructures built with Containers and Kubernetes. The book helps you configure APM capabilities like synthetic transaction and real-user transaction monitoring, integration with open-source tools like Prometheus, and data collection and processing using Logstash. Additionally, the book discusses how to use the Kibana dashboard features provided by Elastic APM in conjunction with alerting and dashboards to analyze the application's performance. Finally, the book teaches Site Reliability Engineers (SREs) how to meet service-level objectives through indicators such as availability, latency, quality, and saturation. WHAT YOU WILL LEARN ● Unleash the need and the applications of observability. ● Learn to architect and deploy the Elastic APM stack. ● Practice observability of monolithic and microservices-based applications. ● Learn advanced observability of Containers and Kubernetes cluster infrastructure. ● Uncover insights on user experience, uptime, and synthetic monitoring. ● Learn to use Kibana for exploiting alerts and visualization features. WHO THIS BOOK IS FOR Professionals in the fields of Application Performance Monitoring, Observability, Site Reliability Engineering, Software Development, AIOPS, and Cloud and Data Center Architecture will benefit greatly from this book. It would be beneficial, but not necessary, to have some knowledge of programming. TABLE OF CONTENTS 1. Introduction to Application Observability 2. Elastic Observability Features 3. Elastic Observability Deployment Architecture 4. Deployment of the Elastic Observability Platform 5. Use Case. Observability for a Containerized Java Application 6. Use Case. Observability for a Kubernetes-based Application 7. Observability for a .Net Core Application 8. Elastic Observability. User Experience, Uptime, and Synthetic Monitoring 9. Logstash Pipelines in Elastic Observability 10. Prometheus Integration with the Elastic Observability Platform 11. Machine Learning, Alerting, and Dashboards
