- Observability: other versions:
- Get started
- What is Elastic Observability?
- What’s new in 8.17
- Quickstart: Monitor hosts with Elastic Agent
- Quickstart: Monitor your Kubernetes cluster with Elastic Agent
- Quickstart: Monitor hosts with OpenTelemetry
- Quickstart: Unified Kubernetes Observability with Elastic Distributions of OpenTelemetry (EDOT)
- Quickstart: Collect data with AWS Firehose
- Add data from Splunk
- Applications and services
- Application performance monitoring (APM)
- Get started
- Learn about data types
- Collect application data
- View and analyze data
- Act on data
- Use APM securely
- Manage storage
- Configure APM Server
- Monitor APM Server
- APM APIs
- Troubleshooting
- Upgrade
- Release notes
- Known issues
- Synthetic monitoring
- Get started
- Scripting browser monitors
- Configure lightweight monitors
- Manage monitors
- Work with params and secrets
- Analyze monitor data
- Monitor resources on private networks
- Use the CLI
- Configure projects
- Multi-factor Authentication
- Configure Synthetics settings
- Grant users access to secured resources
- Manage data retention
- Use Synthetics with traffic filters
- Migrate from the Elastic Synthetics integration
- Scale and architect a deployment
- Synthetics support matrix
- Synthetics Encryption and Security
- Troubleshooting
- Real user monitoring
- Uptime monitoring (deprecated)
- Tutorial: Monitor a Java application
- Application performance monitoring (APM)
- CI/CD
- Cloud
- Infrastructure and hosts
- Logs
- Troubleshooting
- Incident management
- Data set quality
- Observability AI Assistant
- Reference
Aggregation options
editAggregation options
editAggregations summarize your data to make it easier to analyze. In some alerting rules, you can specify aggregations to gather data for the rule.
The following aggregations are available in some rules:
Aggregation | Description |
---|---|
Average |
Average value of a numeric field. |
Cardinality |
Approximate number of unique values in a field. |
Document count |
Number of documents in the selected dataset. |
Max |
Highest value of a numeric field. |
Min |
Lowest value of a numeric field. |
Percentile |
Numeric value which represents the point at which n% of all values in the selected dataset are lower (choices are 95th or 99th). |
Rate |
Rate at which a specific field changes over time. To learn about how the rate is calculated, refer to Rate aggregation. |
Sum |
Total of a numeric field in the selected dataset. |