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Learning ELK stack : build mesmerizing visualizations, and analytics from your logs and data using Elasticsearch, Logstash, and Kibana /
Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana About This Book Solve all your data analytics problems with the ELK stack Explore the power of Kibana4 search and visualizations built over Elasticsearch queries and learn about the feature...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
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| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 008 | 151216s2015 enka o 001 0 eng d | ||
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| 020 | |z 9781785887154 | ||
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| 050 | 4 | |a QA76.9.I52 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Chhajed, Saurabh, |e author. | |
| 245 | 1 | 0 | |a Learning ELK stack : |b build mesmerizing visualizations, and analytics from your logs and data using Elasticsearch, Logstash, and Kibana / |c Saurabh Chhajed. |
| 246 | 3 | 0 | |a Build mesmerizing visualizations, and analytics from your logs and data using Elasticsearch, Logstash, and Kibana |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 490 | 1 | |a Community experience distilled | |
| 588 | |a Description based on online resource; title from cover (Safari, viewed December 14, 2015). | ||
| 500 | |a Includes index. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to ELK Stack; The need for log analysis; Issue debugging; Performance analysis; Security analysis; Predictive analysis; Internet of things and logging; Challenges in log analysis; Non-consistent log format; Tomcat logs; Apache access logs -- combined log format; IIS logs; Variety of time formats; Decentralized logs; Expert knowledge requirement; The ELK Stack; Elasticsearch; Logstash; Kibana; ELK data pipeline; ELK Stack installation; Installing Elasticsearch | |
| 505 | 8 | |a Running ElasticsearchElasticsearch configuration; Network Address; Paths; The cluster name; The node name; Elasticsearch plugins; Installing Logstash; Running Logstash; Logstash with file input; Logstash with Elasticsearch output; Configuring Logstash; Installing Logstash forwarder; Logstash plugins; Input plugin; Filters plugin; Output plugin; Installing Kibana; Configuring Kibana; Running Kibana; Kibana interface; Discover; Visualize; Dashboard; Settings; Summary; Chapter 2: Building Your First Data Pipeline with ELK; Input dataset; Data format for input dataset; Configuring Logstash input | |
| 505 | 8 | |a Filtering and processing inputPutting data to Elasticsearch; Visualizing with Kibana; Running Kibana; Kibana visualizations; Building a line chart; Building a bar chart; Building a Metric; Building a data table; Summary; Chapter 3: Collect, Parse and Transform Data with Logstash; Configuring Logstash; Logstash plugins; Listing all plugins in Logstash; Data types for plugin properties; Array; Boolean; Codec; Hash; String; Comments; Field references; Logstash conditionals; Types of Logstash plugins; Input plugins; Output plugins; Filter plugins; Codec plugins; Summary | |
| 505 | 8 | |a Chapter 4: Creating Custom Logstash PluginsLogstash plugin management; Plugin lifecycle management; Installing a plugin; Updating a plugin; Uninstalling a plugin; Structure of a Logstash plugin; Required dependencies; Class declaration; Configuration name; Configuration options setting; Plugin methods; Input plugin; Filter plugin; Output plugin; Codec plugin; Writing a Logstash filter plugin; Building the plugin; Summary; Chapter 5: Why Do We Need Elasticsearch in ELK?; Why Elasticsearch?; Elasticsearch basic concepts; Index; Document; Field; Type; Mapping; Shard | |
| 505 | 8 | |a Primary shard and replica shardCluster; Node; Exploring the Elasticsearch API; Listing all available indices; Listing all nodes in a cluster; Checking the health of the cluster; Health status of the cluster; Creating an index; Retrieving the document; Deleting documents; Deleting an index; Elasticsearch Query DSL; Elasticsearch plugins; Bigdesk plugin; Elastic-Hammer plugin; Head plugin; Summary; Chapter 6: Finding Insights with Kibana; Kibana 4 features; Search highlights; Elasticsearch aggregations; Scripted fields; Dynamic dashboards; Kibana interface; Discover page; Time filter | |
| 520 | |a Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana About This Book Solve all your data analytics problems with the ELK stack Explore the power of Kibana4 search and visualizations built over Elasticsearch queries and learn about the features and plugins of Logstash Develop a complete data pipeline using the ELK stack Who This Book Is For If you are a developer or DevOps engineer interested in building a system that provides amazing insights and business metrics out of data sources, of various formats and types, using the open source technology stack that ELK provides, then this book is for you. Basic knowledge of Unix or any programming language will be helpful to make the most out of this book. What You Will Learn Install, configure, and run Elasticsearch, Logstash, and Kibana Understand the need for log analytics and the current challenges in log analysis Build your own data pipeline using the ELK stack Familiarize yourself with the key features of Logstash and the variety of input, filter, and output plugins it provides Build your own custom Logstash plugin Create actionable insights using charts, histograms, and quick search features in Kibana4 Understand the role of Elasticsearch in the ELK stack In Detail The ELK stack - Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before. This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You'll move on to building a basic data pipeline using the ELK stack. Next, you'll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps. Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components. Style and approach This book is a step-by-... | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Information visualization. | |
| 650 | 0 | |a Data mining. | |
| 650 | 6 | |a Visualisation de l'information. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Information visualization |2 fast | |
| 776 | |z 1-78588-715-7 | ||
| 830 | 0 | |a Community experience distilled. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781785887154/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||