Metrics
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. 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. The Elastic APM Node.js agent enables you to trace the execution of operations in your Node.js applications, sending performance metrics and errors to the Elastic APM Server. Availability This functionality is generally available and ready for production usage. 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 Observability
Generally available
Stack
Generally available
APM Agent Node.js
Generally available
The Node.js agent tracks various system and application metrics. These metrics will be sent regularly to the APM Server and from there to Elasticsearch. You can adjust the interval by setting metricsInterval.
The metrics will be stored in the apm-* index and have the processor.event property set to metric.
- Type: Float
- Format: Percent
The percentage of CPU time in states other than Idle and IOWait, normalized by the number of cores.
- Type: Long
- Format: Bytes
The total memory of the system in bytes.
- Type: Long
- Format: Bytes
Free memory of the system in bytes.
- Type: Float
- Format: Percent
The percentage of CPU time spent by the process since the last event. This value is normalized by the number of CPU cores and it ranges from 0 to 100%.
- Type: Long
- Format: Bytes
The Resident Set Size, the amount of memory the process occupies in main memory (RAM).
- Type: Long
- Format: Counter
The number of active libuv handles, likely held open by currently running I/O operations.
- Type: Long
- Format: Counter
The number of active libuv requests, likely waiting for a response to an I/O operation.
- Type: Long
- Format: Counter
The number of CPU cycles spent executing application code.
- Type: Long
- Format: Counter
The number of CPU cycles spent executing kernel code as a result of application activity.
- Type: Float
- Format: Milliseconds
The number of milliseconds of event loop delay. Event loop delay is sampled every 10 milliseconds. Delays shorter than 10ms may not be observed, for example if a blocking operation starts and ends within the same sampling period.
- Type: Long
- Format: Bytes
The current allocated heap size in bytes.
- Type: Long
- Format: Bytes
The currently used heap size in bytes.
- Type: Long
- Format: Bytes
Memory usage of C++ objects bound to JavaScript objects managed by V8.
- Type: Long
- Format: Bytes
Memory allocated for ArrayBuffers and SharedArrayBuffers, including all Node.js Buffers. This is also included in the nodejs.memory.external.bytes value.
- Type: Long
- Format: Milliseconds
The sum of all span self-times in milliseconds since the last report (the delta). The span.self_time.* metrics are referred to as "breakdown metrics".
You can filter and group by these dimensions:
transaction.name: The name of the transactiontransaction.type: The type of the transaction, for examplerequestspan.type: The type of the span, for exampleapp,templateordbspan.subtype: The sub-type of the span, for examplemysql(optional)
- Type: Long
- Format: Counter
You can filter and group by these dimensions:
transaction.name: The name of the transactiontransaction.type: The type of the transaction, for examplerequestspan.type: The type of the span, for exampleapp,templateordbspan.subtype: The sub-type of the span, for examplemysql(optional)