- Observability: other versions:
- What is Elastic Observability?
- What’s new in 8.14
- 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
- OpenTelemetry integration
- 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
- 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
Navigate the APM UI
editNavigate the APM UI
editFor task-oriented guides, see the Perform common tasks in the APM UI.
The APM UI in Kibana allows you to monitor your software services and applications in real-time; visualize detailed performance information on your services, identify and analyze errors, and monitor host-level and APM agent-specific metrics like JVM and Go runtime metrics.
Having access to application-level insights with just a few clicks can drastically decrease the time you spend debugging errors, slow response times, and crashes.
For example, you can see information about response times, requests per minute, and status codes per endpoint. You can even dive into a specific request sample and get a complete waterfall view of what your application is spending its time on. You might see that your bottlenecks are in database queries, cache calls, or external requests. For each incoming request and each application error, you can also see contextual information such as the request header, user information, system values, or custom data that you manually attached to the request.
For a quick, high-level overview of the health and performance of your application, start with:
Notice something awry? Select a service or trace and dive deeper with:
Configure and troubleshoot the APM UI: