Practical ELK Stack
Build Actionable Insights and Business Metrics Using the Combined Power of Elasticsearch, Logstash, and Kibana
(Sprache: Englisch)
Use the ELK (Elasticsearch, Logstash, and Kibana) stack to build systems that provide actionable insights and business metrics from data sources, including creating amazing visualizations and dashboards. Learn how to set up the ELK stack, build a data...
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Klappentext zu „Practical ELK Stack “
Use the ELK (Elasticsearch, Logstash, and Kibana) stack to build systems that provide actionable insights and business metrics from data sources, including creating amazing visualizations and dashboards. Learn how to set up the ELK stack, build a data pipeline, and create customized plugins.Practical ELK Stack will teach you to configure the software, install tools, and build a data pipeline. You will learn 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 covered, along with various types of advanced data analysis, including charts, tables, and maps.
The simple and powerful nature of ELK stack has contributed to its quick adoption. Diverse scenarios are covered, ranging from social media analysis to grid monitoring at CERN. You will see how ELK stack is being used at companies such as Facebook, Github, and Netflix.
What You'll Learn
Understand the need for log analytics, and current challenges
Perform real-time data analytics on streaming data, and turn them into actionable insights
Create indexing and delete data
Understand the different components of ELK (Elasticsearch, Logstash, and Kibana) stack
Understand Shipping, Filtering, and Parsing Events with Logstash
Build amazing visualizations and dashboards using Data Discovery, Visualization, and Dashboard with Kibana
Who This Book Is For
Developers or DevOps engineers interested in building systems that provide amazing insights and business metrics out of different data sources using the ELK stack
Inhaltsverzeichnis zu „Practical ELK Stack “
Chapter 1: Introduction to ELK Stack Chapter Goal: This chapter emphasizes the importance of log analysis in today's big data crazy world. It would go on to analyze the challenges with log analysis. It presents ELK stack as a thorough solution for log analysis. Different components of ELK Stack - Elasticsearch, Logstash and Kibana are introduced with a description of their functions and installation. No of pages: 25 Sub -Topics 1. Log Analysis in Today's World 2. The ELK Stack 3. ELK Data Pipeline 4. ELK Stack Installation" Chapter 2: Shipping, Filtering and Parsing Events with Logstash Chapter Goal: The goal of this chapter is to get started with using Logstash for log generation, collection and filtering. It starts with introducing configuration settings of Logstash. It then goes on to illustrate how Logstash facilitates shipping of logs, filtering and transforming any type of data to a common format. This can further help in arriving at actionable insights. No of pages: 40 Sub - Topics 1. Configuring Logstash 2. Shipping Events 3. Filtering Events with Logstash 4. Outputting Events from Logstash"
< Chapter 3: Extending Logstash Chapter Goal: The goal of this chapter is to illustrate how Logstash is internally organized using Plugins. Logstash has a diverse collection of input, filter, codec and output plugins. An overview of the common plugins would be provided. It would then show how to create and use your own custom plugin. No of pages: 20 Sub - Topics: 1. Plugin Management 2. Structure of a Plugin 3. Adding custom plugins"
Chapter 4: Creating, Indexing and Deleting Data Chapter Goal: This chapter introduces data management using Elasticsearch. It covers features of Elasticsearch. Data is organized as documents. This chapter would show how to add data, index it, update it, and delete it. It also goes on to show how to work with distributed document stores. No of pages: 40 Sub - Topics: 1. Anatomy of a Document 2. Creating Document 3. Indexing a
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Document 4. Updating a Document 5. Deleting a Document 6. Distributed Document Store
Chapter 5: Searching Data Chapter Goal: The goal of this chapter is to explore the elaborate mechanism for searching data available in Elasticsearch. It covers both the search query variations - Search Lite and Full Body Search. Then it illustrates Query DSL and Filters. No of pages: 25 Sub - Topics: 1. Basic Search 2. Search with Multi-Index, Multi-Type 3. Pagination in Search 4. Search Lite 5. Query DSL 6. Queries and Filters 7. Advanced Search Concepts"
Chapter 6: Mapping and Analysis Chapter Goal: The goal of this chapter is to examine how Elasticsearch maps data. It then goes on to show how to map data for relevant analysis. No of pages: 25 Sub - Topics: 1. Data Type 2. Analyzers 3. Mapping 4. Composite Field Types
Chapter 7: Data Exploration with Aggregates Chapter Goal: This chapter explores the subject of Aggregates. It would help in giving a top level view of entire set of documents. This is unlike queries which just focus on a particular document. It is also shown how to group documents into buckets. No of pages: 20 Sub - Topics: 1. Buckets and Metrics 2. Bar Charts 3. Scoping Aggregations 4. Aggregates with Filters 5. Approximate Aggregates
Chapter 8: Exploring Kibana Chapter Goal: This chapter introduces Kibana. It explains basic concepts and key features. No of pages: 25 Sub - Topics: 1. Kibana Key Concepts 2. Kibana Features
Chapter 9: Kibana - Discover, Visualize and Dashboard Chapter Goal: This chapter will show how to work with Kibana by illustrating its interface to filter and visualize log messages gathered by Elasticsearch. It will cover the main interface components, and demonstrate how to create searches, visualizations, and dashboards. No of pages: 40 Sub - Topics: 1. Exploring Discover Page 2. Exploring Visualize Page 3. Exploring Dashboard Page 4. Settings Page
Chapter 10: Insights with ELK Stack Chapter Goal: This chapter really ties up all the
Chapter 5: Searching Data Chapter Goal: The goal of this chapter is to explore the elaborate mechanism for searching data available in Elasticsearch. It covers both the search query variations - Search Lite and Full Body Search. Then it illustrates Query DSL and Filters. No of pages: 25 Sub - Topics: 1. Basic Search 2. Search with Multi-Index, Multi-Type 3. Pagination in Search 4. Search Lite 5. Query DSL 6. Queries and Filters 7. Advanced Search Concepts"
Chapter 6: Mapping and Analysis Chapter Goal: The goal of this chapter is to examine how Elasticsearch maps data. It then goes on to show how to map data for relevant analysis. No of pages: 25 Sub - Topics: 1. Data Type 2. Analyzers 3. Mapping 4. Composite Field Types
Chapter 7: Data Exploration with Aggregates Chapter Goal: This chapter explores the subject of Aggregates. It would help in giving a top level view of entire set of documents. This is unlike queries which just focus on a particular document. It is also shown how to group documents into buckets. No of pages: 20 Sub - Topics: 1. Buckets and Metrics 2. Bar Charts 3. Scoping Aggregations 4. Aggregates with Filters 5. Approximate Aggregates
Chapter 8: Exploring Kibana Chapter Goal: This chapter introduces Kibana. It explains basic concepts and key features. No of pages: 25 Sub - Topics: 1. Kibana Key Concepts 2. Kibana Features
Chapter 9: Kibana - Discover, Visualize and Dashboard Chapter Goal: This chapter will show how to work with Kibana by illustrating its interface to filter and visualize log messages gathered by Elasticsearch. It will cover the main interface components, and demonstrate how to create searches, visualizations, and dashboards. No of pages: 40 Sub - Topics: 1. Exploring Discover Page 2. Exploring Visualize Page 3. Exploring Dashboard Page 4. Settings Page
Chapter 10: Insights with ELK Stack Chapter Goal: This chapter really ties up all the
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Autoren-Porträt von Gurpreet Singh Sachdeva
Gurpreet S. Sachdeva is a Technology Leader with 20 years of experience working on some of the most challenging technologies related to Communication Software, Enterprise Computing and Cloud Computing. Gurpreet did his B. Tech (Computer Engineering) from NIT, Kurukshetra and M.S. (Software Systems) from BITS, Pilani. He is currently working as Director - Technology with Aricent, Gurgaon. He is a keen Java enthusiast and co-founder of Delhi - NCR - Java User Group. Gurpreet is passionate about building cloud scale software and manage it through ELK stack along with other DevOps tools.Gurpreet is an invited speaker in prestigious conferences like Oracle - Java One, Great India Developer Summit, Indic Threads. Gurpreet blogs at http://www.thistechnologylife.com
Bibliographische Angaben
- Autor: Gurpreet Singh Sachdeva
- 2017, 1st ed., 302 Seiten, 93 farbige Abbildungen, Maße: 15,9 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1484226259
- ISBN-13: 9781484226254
- Erscheinungsdatum: 29.01.2017
Sprache:
Englisch
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