View and analyze data
Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud. Availability This functionality is generally available and ready for production usage. Serverless interfaces and procedures might differ from classic Elastic Stack deployments. The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats. Availability This functionality is generally available and ready for production usage. Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments. This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.
Serverless
Generally available
Stack
Generally available
After you’ve started sending application data to Elastic, you can open the Applications UI 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, getting tips on how to interpret data, and taking advantage of machine learning.