- 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
View and analyze data
editView and analyze data
editAfter you’ve started sending application data to Elastic, you can open the Applications UI in Kibana to view your data in a variety of visualizations and start analyzing data.
The Applications UI allows you to monitor your software services and applications in real-time. You can 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.
To get started with the Applications UI:
- Start with quick, high-level overviews that show you the overall health and performance of your application.
- Drill down into data for specific services or traces to get additional insight into your application.
- Learn how to get the most out of your data by mastering how to search and filter data in Kibana, getting tips on how to interpret data, and taking advantage of machine learning.