Kibana Visualizations Deep Dive

Get a detailed walkthrough of Tagcloud and Heatmap (new visualizations in Kibana 5.2), see what's coming with future geospatial visualizations, and learn about dedicated UIs for time series visualizations in Timlion and a new visual builder for pipeline aggregations.

Chris Cowan l Software Engineer l Elastic
Thomas Neirynck l Software Engineer l Elastic
Peter Pisiljar l Software Engineer l Elastic

Transcript

1. Elastic March 9, 2017 GitHub: ppisljar, thomasneirynck, simianhacker Kibana Visualizations Deep-Dive Peter Pisljar, Chris Cowan, Thomas Neirynck
2. Agenda 2 1 New and improved visualizations 2 Support for new aggregations 3 Visualizing time-series data 4 Geospatial visualizations 5 Future
3. New and improved visualizations Peter Pisljar
4. Peter Pisljar { } It’s Demo Time!
5. Visualizing time-series data Chris Cowan
6. What we are going to cover... 6 1 Demo of the “Time Series Visual Builder” interface 2 Visualization Tour: Time Series, Metrics, Gauges, Top N, Markdown (with vars) 3 Complex Pipeline Aggregations 4 Percentile Bands, Ratios, Annotations, Time Shifting, Outliers… OH MY! 5 Dashboarding
7. Chris Cowan { } It’s Demo Time!
8. Geospatial visualizations Thomas Neirynck
9. • Summer 2016, MapQuest shuts down map service • Elastic now hosts their own map service • Open street maps data • 18 levels with X-pack installed • Kibana discovers capabilities dynamically • Thank you Infra Team! New Tile Maps 9 5.2
10. • similar to feature in Kibana 3 • color coded thematic maps (“choropleth maps”) • Possible to map ES-data that does not have a geo_* field (do “inner join”) DEMO • Ships with base map for World countries and USA States • Bring your own vector data! Vector Maps 1 0 Coming in 5.x
11. • In short order ... • improved UX (scroll, pinch, touch support) • default support for geo-centroid aggregation DEMO • … followed by • allows maps to only request data from ES within the visible bounds • visualize 2 metrics on a single symbol: marker size and color represent a different metric Other map improvements 1 1 Coming in 5.x Marker placement
12. Future Thomas Neirynck
13. • Full stack geo support • base-mapping with tiles.elastic.co • storage and search of geo-data with Elasticsearch • ETL with Logstash/Beats • visualize and explore with Kibana • Community involvement in the domain • we have the momentum to expand on this • FYI: Codepalousa 2017, June 8, Louisville, KY Future 13 Elastic stack as a Geographic Information System (GIS)
14. • Let a 1000 UIs bloom: new user interfaces and visualization types • e.g. Timeseries and Timelion are examples of new UX to produce visualizations • “Unexpected apps” • Kibana for everyone — developers, technical, non-technical business users Future 14 Beyond 5.x
15. • The Visualize app has significant community contributions • bug fixes/enhancements • community plugins • We like to see even more of this • ensures relative stability of interfaces/API • informs our road map Community 15 Contribute and extend
16. 16 More Questions? Visit us at the AMA
17. www.elastic.c o
18. 18 • multiple metrices with different value domains • highly requested feature Multiple Y Axes
19. 19 • axis position • axis mode • axis scale type • label configurations Multiple Y Axes - cont.
20. 20 Multiple y axes
21. 21 • combining charts • switching types back and forth • new stacking possibilities Multiple Chart Types
22. 22 Multiple chart types
23. 23 Horizontal (bar) chart
24. 24 • two category axes (X and Y) • individual values contained in a matrix are represented as colors Heatmap Chart
25. 25 Heatmap
26. 26 • Try to keep your use of bullet slides to a minimum (Arial 35 pt) Be creative and think visually (Arial 35 pt) If you need to source something copy and paste the text box at the bottom left onto your page (Arial 35 pt) Tagcloud
27. 27 Tagcloud
28. 28 • filler gauge • range gauge Gauge Chart
29. 29 Gauge chart
30. New aggregations Peter Pisiljar
31. 31 • community PR • super powerful • opens up many doors This is a sample image Top Hits
32. 32 • finally ! • parent pipeline aggs • sibling pipeline aggs This is a sample image Pipeline aggregations
33. 33 This is a sample image Derivative
34. 34 This is a sample image Bucket Sum
35. 35 This is a sample image Bucket Avg