Practical ELK Stack Front Cover

Practical ELK Stack

  • Length: 302 pages
  • Edition: 1st ed.
  • Publisher:
  • Publication Date: 2017-02-26
  • ISBN-10: 1484226259
  • ISBN-13: 9781484226254
Description

Practical ELK Stack: Build Actionable Insights and Business Metrics Using the Combined Power of Elasticsearch, Logstash, and Kibana

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.

With this book you will learn

  • The need for log analytics, and current challenges
  • How to perform real-time data analytics on streaming data, and turn them into actionable insights
  • How to create indexing and delete data
  • The different components of ELK (Elasticsearch, Logstash, and Kibana) stack
  • Shipping, Filtering, and Parsing Events with Logstash
  • How to build amazing visualizations and dashboards using Data Discovery, Visualization, and Dashboard with Kibana

Who this book is for

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.

Table of Contents

Chapter 1: Introduction to the ELK Stack
Chapter 2: Shipping, Filtering, and Parsing Events with Logstash
Chapter 3: Extending Logstash
Chapter 4: Creating, Indexing, and Deleting Data
Chapter 5: Searching Data
Chapter 6: Mapping and Analysis
Chapter 7: Data Exploration with Aggregates
Chapter 8: Exploring Kibana
Chapter 9: Kibana – Data Visualization
Chapter 10: The Kibana Dashboard
Chapter 11: Designing for Scale
Chapter 12: The ELK Stack in Production
Chapter 13: Real-Life Stories

To access the link, solve the captcha.
Subscribe