- Observability: other versions:
- What is Elastic Observability?
- What’s new in 8.15
- Get started
- Observability AI Assistant
- Application performance monitoring (APM)
- Self manage APM Server
- Data Model
- Features
- Navigate the APM UI
- Perform common tasks in the APM UI
- Configure APM agents with central config
- Control access to APM data
- Create an alert
- Create and upload source maps (RUM)
- Create custom links
- Filter data
- Find transaction latency and failure correlations
- Identify deployment details for APM agents
- Integrate with machine learning
- Explore mobile sessions with Discover
- Observe Lambda functions
- Query your data
- Storage Explorer
- Track deployments with annotations
- Use OpenTelemetry
- Manage storage
- Configure
- Advanced setup
- Secure communication
- Monitor
- APM Server API
- APM UI API
- Troubleshoot
- Upgrade
- Release notes
- Known issues
- Log monitoring
- Infrastructure monitoring
- AWS monitoring
- Azure 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
- 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
- Uptime monitoring
- Real user monitoring
- Universal Profiling
- Alerting
- Service-level objectives (SLOs)
- Cases
- CI/CD observability
- Troubleshooting
- Fields reference
- Tutorials
Configure probabilistic profiling
editConfigure probabilistic profiling
editProbabilistic profiling allows you to reduce storage costs by collecting a representative sample of profiling data. This method decreases storage costs with a visibility trade-off, as not all Profiling Host Agents will have profile collection enabled at all times.
Profiling Events linearly correlate with the probabilistic profiling value. The lower the value, the fewer events are collected.
Configure probabilistic profiling
editTo configure probabilistic profiling, set the -probabilistic-threshold
and -probabilistic-interval
options.
Set the -probabilistic-threshold
option to a unsigned integer between 1 and 99 to enable probabilistic profiling. At every probabilistic interval, a random number
between 0 and 99 is chosen. If the probabilistic threshold that you’ve set is greater than this random
number, the agent collects profiles from this system for the duration of the interval. The default value is 100.
Set the -probabilistic-interval
option to a time duration to define the time interval for
which probabilistic profiling is either enabled or disabled. The default value is 1 minute.
Example
editThe following example shows how to configure the Universal Profiling agent with a threshold of 50 and an interval of 2 minutes and 30 seconds:
sudo pf-host-agent/pf-host-agent -probabilistic-threshold=50 -probabilistic-interval=2m30s
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