Kibana overview
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Kibana is a data visualization tool that is part of the ELK stack (Elasticsearch, Logstash, Kibana) and allows users to search, analyze, and visualize data stored in Elasticsearch. The document discusses Kibana's essential features including Discover to query data, Visualize to create visualizations, and Dashboard to combine them. It also covers additional tools like Dev Tools, X-Pack plugins, and Machine Learning capabilities.
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Kibana overview
- 2. Outline • Definition and History of ELK Stack • Kibana Essentials Visualizer • Discover • Visualize • Dashboard • Workshop • Dev Tools & X-Pack • Machine Learning • Graph
- 3. Etymology • 黄花 – yellow flower • Rashid Khan, the creator of Kibana, in Swahili a hut.
- 4. What is behind Kibana?
- 6. Heart of ELK stack: Elasticsearch • Based on Apache Lucene • Shay Banon, Compass to Elasticsearch, released in 2010 • In 2012 Elastic was founded in Amsterdam • RESTful search and analytics engine
- 7. Kibana essentials • Discover • Visualizer • Dashboard
- 9. Discover • Query bar – Lucene query syntax • Filter - Elasticsearch Query DSL
- 10. Visualize
- 13. Let’s try it out! • Example of Visualize & Dashboard • Little exercise.
- 14. Dev Tools • Console • Search Profiler
- 15. X-Pack beyond Essentials • Security • Monitoring • Alerting and Notification • Reporting • Graph • Machine Learning
- 18. Thank you! • Don’t spend time reading books about Kibana • Use official documentation in elastic.co • Be careful with data!
Editor's Notes
- Scalable, High-Performance Indexing over 150GB/hour on modern hardware small RAM requirements -- only 1MB heap incremental indexing as fast as batch indexing index size roughly 20-30% the size of text indexed Powerful, Accurate and Efficient Search Algorithms ranked searching -- best results returned first many powerful query types: phrase queries, wildcard queries, proximity queries, range queries and more fielded searching (e.g. title, author, contents) sorting by any field multiple-index searching with merged results allows simultaneous update and searching flexible faceting, highlighting, joins and result grouping fast, memory-efficient and typo-tolerant suggesters pluggable ranking models, including the Vector Space Model and Okapi BM25 configurable storage engine (codecs) Cross-Platform Solution Available as Open Source software under the Apache License which lets you use Lucene in both commercial and Open Source programs 100%-pure Java