- Elastic Cloud Serverless
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- Elastic Observability
- Get started
- Observability overview
- Elastic Observability Serverless billing dimensions
- Create an Observability project
- 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
- Get started with dashboards
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- Application performance monitoring (APM)
- Get started with traces and APM
- Learn about data types
- Collect application data
- View and analyze data
- Act on data
- Use APM securely
- Reduce storage
- Managed intake service event API
- Troubleshooting
- 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 a Synthetics project
- Multifactor Authentication for browser monitors
- Configure Synthetics settings
- Grant users access to secured resources
- Manage data retention
- Scale and architect a deployment
- Synthetics Encryption and Security
- Troubleshooting
- Application performance monitoring (APM)
- Infrastructure and hosts
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- Elastic Security
- Elastic Security overview
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- Endpoints
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- Identify antivirus software on your hosts
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- Troubleshooting
- Manage your project
- Changelog
Metrics
editMetrics
editThe Metrics overview provides APM agent-specific metrics, which lets you perform more in-depth root cause analysis investigations within the Applications 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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