- Observability: other versions:
- What is Elastic Observability?
- What’s new in 8.12
- Get started
- Observability AI Assistant
- Application performance monitoring (APM)
- Self manage APM Server
- Data Model
- Features
- How-to guides
- OpenTelemetry integration
- Manage storage
- Configure
- Advanced setup
- Secure communication
- Monitor
- API
- Troubleshoot
- Upgrade
- Release notes
- Known issues
- Logs
- Infrastructure monitoring
- AWS monitoring
- 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
- 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
- Uptime monitoring
- Real user monitoring
- Universal Profiling
- Alerting
- Service-level objectives (SLOs)
- Cases
- CI/CD observability
- Troubleshooting
- Fields reference
- Tutorials
- Monitor Amazon Web Services (AWS) with Elastic Agent
- Monitor Amazon Web Services (AWS) with Beats
- Monitor Google Cloud Platform
- Monitor a Java application
- Monitor Kubernetes
- Monitor Microsoft Azure with Elastic Agent
- Monitor Microsoft Azure with the Azure Native ISV Service
- Monitor Microsoft Azure with Beats
IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Manage data storage
editManage data storage
editUniversal Profiling provides the following ways to manage how your data is stored.
- Index lifecycle management automatically manages your indices according to age or size metric thresholds. Universal Profiling ships with a default index lifecycle policy, but you can create a custom policy to meet your requirements.
- Probabilistic profiling mode uses representative samples of profiling data to reduce storage needs even further.
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