- Learning ELK Stack
- Table of Contents
- Learning ELK Stack
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Introduction to ELK Stack
- The need for log analysis
- Challenges in log analysis
- The ELK Stack
- ELK data pipeline
- ELK Stack installation
- Installing Elasticsearch
- Running Elasticsearch
- Elasticsearch configuration
- Elasticsearch plugins
- Installing Logstash
- Running Logstash
- Logstash with file input
- Logstash with Elasticsearch output
- Configuring Logstash
- Installing Logstash forwarder
- Logstash plugins
- Installing Kibana
- Configuring Kibana
- Running Kibana
- Kibana interface
- Summary
- 2. Building Your First Data Pipeline with ELK
- 3. Collect, Parse and Transform Data with Logstash
- Configuring Logstash
- Logstash plugins
- Summary
- 4. Creating Custom Logstash Plugins
- 5. Why Do We Need Elasticsearch in ELK?
- 6. Finding Insights with Kibana
- 7. Kibana – Visualization and Dashboard
- 8. Putting It All Together
- 9. ELK Stack in Production
- 10. Expanding Horizons with ELK
- Index
In this chapter, we gathered a basic understanding of ELK stack, and also figured out why we need log analysis, and why ELK stack specifically. We also set up Elasticsearch, Logstash, and Kibana.
In the next chapter, we will look at how we can use our ELK stack installation to quickly build a data pipeline for analysis.
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