- 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
IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Metrics
editMetrics
editThe Metrics overview provides APM agent-specific metrics, which lets you perform more in-depth root cause analysis investigations within the APM UI.
If you’re experiencing a problem with your service, you can use this page to attempt to find the underlying cause. For example, you might be able to correlate a high number of errors with a long transaction duration, high CPU usage, or a memory leak.
If you’re using the Java APM agent, you can view metrics for each JVM.
Breaking down metrics by JVM makes it much easier to analyze the provided metrics: CPU usage, memory usage, heap or non-heap memory, thread count, garbage collection rate, and garbage collection time spent per minute.
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