- Kibana Guide: other versions:
- What is Kibana?
- What’s new in 8.4
- Kibana concepts
- Quick start
- Set up
- Install Kibana
- Configure Kibana
- Alerting and action settings
- APM settings
- Banners settings
- Enterprise Search settings
- Fleet settings
- i18n settings
- Logging settings
- Logs settings
- Metrics settings
- Monitoring settings
- Reporting settings
- Search sessions settings
- Secure settings
- Security settings
- Spaces settings
- Task Manager settings
- Telemetry settings
- URL drilldown settings
- Start and stop Kibana
- Access Kibana
- Securing access to Kibana
- Add data
- Upgrade Kibana
- Configure security
- Configure reporting
- Configure logging
- Configure monitoring
- Command line tools
- Production considerations
- Discover
- Dashboard and visualizations
- Canvas
- Maps
- Build a map to compare metrics by country or region
- Track, visualize, and alert on assets in real time
- Map custom regions with reverse geocoding
- Heat map layer
- Tile layer
- Vector layer
- Plot big data
- Search geographic data
- Configure map settings
- Connect to Elastic Maps Service
- Import geospatial data
- Troubleshoot
- Reporting and sharing
- Machine learning
- Graph
- Alerting
- Observability
- APM
- Security
- Dev Tools
- Fleet
- Osquery
- Stack Monitoring
- Stack Management
- REST API
- Get features API
- Kibana spaces APIs
- Kibana role management APIs
- User session management APIs
- Saved objects APIs
- Data views API
- Index patterns APIs
- Alerting APIs
- Action and connector APIs
- Cases APIs
- Import and export dashboard APIs
- Logstash configuration management APIs
- Machine learning APIs
- Osquery manager API
- Short URLs APIs
- Get Task Manager health
- Upgrade assistant APIs
- Kibana plugins
- Troubleshooting
- Accessibility
- Release notes
- Developer guide
Machine learning
editMachine learning
editAs data sets increase in size and complexity, the human effort required to inspect dashboards or maintain rules for spotting infrastructure problems, cyber attacks, or business issues becomes impractical. Elastic machine learning features such as anomaly detection and outlier detection make it easier to notice suspicious activities with minimal human interference.
Kibana includes a free Data Visualizer to learn more about your data. In particular, if your data is stored in Elasticsearch and contains a time field, you can use the Data Visualizer to identify possible fields for anomaly detection:
You can also upload a CSV, NDJSON, or log file. The Data Visualizer identifies the file format and field mappings. You can then optionally import that data into an Elasticsearch index. To change the default file size limit, see fileUpload:maxFileSize advanced settings.
If Elastic Stack security features are enabled, users must have the necessary privileges to use machine learning features. Refer to Set up machine learning features.
There are limitations in machine learning features that affect Kibana. For more information, refer to Machine learning.