Kibana training

Install

• Architecture. Integration with the whole stack and apps.
• Uses case: ELK,IOT, apps with search engine.

Dev tools and low level request

• Request basics: understand how graph are generated
• Store a document in elasticsearch from devtools kibana.
• Query DSL and search. How requests are composed.
• Aggregations et analytics basics.

Index patterns

• Index selection, index pattern.
• Minimal configuration
• Script fields: dynamic data / real time compute

Discover.

• Explore and discover data
• Time selector. Time series data.
• Search. KQL language, lucene et search bar usage.
• Filter usage, local and global. Custom filter query.
• Save et sharing search

Visualisations / graphics

• Visulaisations common basics
• Bucket, sub bucket and metrics: être how to choose the correct aggregation.
• Visualisations tour: Area. Controls. Coordianate Map. Data Table.Gauge. Goal.Heat map. Horizontal bar. Line. Markdown. Metric. Pie. Region map. Tag cloud. Timelion. Vega. Vertical bar. Visual builder.
• Save and share visualisations.
• Timelion: why ?
• Vega: a lot more possibilities

Dashboard: Compose visualisations.

• Create a dashboard from saved visualisations
• Filter the dashboard in real time
• Share and save the dashboard

Other features

• Spaces.
• Canvas: infographics.
• Maps
• Logs: Tail -F of kibana
• Administration interface and elasticsearch administration.