- Kibana Guide: other versions:
- Introduction
- Get started
- Set Up Kibana
- Discover
- Visualize
- Creating a Visualization
- Saving Visualizations
- Using rolled up data in a visualization
- Line, Area, and Bar charts
- Controls Visualization
- Data Table
- Markdown Widget
- Metric
- Goal and Gauge
- Pie Charts
- Coordinate Maps
- Region Maps
- Timelion
- TSVB
- Tag Clouds
- Heatmap Chart
- Vega Graphs
- Inspecting Visualizations
- Dashboard
- Canvas
- Graph data connections
- Machine learning
- Elastic Maps
- Code
- Infrastructure
- Logs
- APM
- Uptime
- SIEM
- Dev Tools
- Stack Monitoring
- Management
- Reporting from Kibana
- REST API
- Kibana plugins
- Limitations
- Release Highlights
- Breaking Changes
- Release Notes
- Developer guide
IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Machine Learning integration
editMachine Learning integration
editThe Machine Learning integration will initiate a new job predefined to calculate anomaly scores on transaction response times. The response time graph will show the expected bounds and annotate the graph when the anomaly score is 75 or above.
Jobs can be created per transaction type and based on the average response time. You can manage jobs in the Machine Learning jobs management. It might take some time for results to appear on the graph.
Machine learning is a platinum feature. For a comparison of the Elastic license levels, see the subscription page.
Was this helpful?
Thank you for your feedback.