Network Data Analysis with Elasticsearch, Logstash, and Kibana
Network Data Analysis with Elasticsearch, Logstash, and Kibana
About the Book
(Note: Super Early Release!) This book is written for Network Engineers, Systems Engineers, DevOps Engineers and anybody else who are interested in learning more about using the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) to understand and analyze their network data.
About the Author
Table of Contents
- Dedication
-
Acknowledgment
- A Note About The Book
- Who Should Read This Book
- How to Read This Book
- Navigating This Book
- Online Resources
- Conventions Used in the Book
- Contact Information
-
Chapter 1. Jacob Finds the Elastic Stack
- Overview of Elasticsearch, Logstash, and Kibana
- Setting Up the Learning Environment
- Looking Forward
-
Chapter 2. ELK End-to-End Example
- Data Ingestion
- Search
- Chapter 3. Data Ingestion Pipeline
- Chapter 4. Search, Search, and More Search
- Chapter 5. Visualization and Kibana
- Chapter 6. More Visualization Tools
- Chapter 7. Other ELK Stack Tools
- Chapter 8. Machine Learning with ELK
- Chapter 9. Alerting with Elastalert
- Chapter 10. The ElastiFlow Project
- Epilogue
-
Notes
- Intel NUC Components and Set Up
- Elasicsearch Scaling
- About the Author
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