Caution

The Splunk Distribution of OpenTelemetry Java version 1.x is deprecated as of June 25, 2024 and will reach End of Support on June 30, 2025. Until then, only critical security fixes and bug fixes will be provided.

New customers should use the latest version of the Splunk Distribution of OpenTelemetry Java. Existing customers should consider migrating to version 2.5.0 or higher. To learn how to migrate, see Migration guide for OpenTelemetry Java 2.x metrics.

Metrics collected by the Splunk OTel Java agent 1.x (Deprecated) 🔗

The agent of the Splunk Distribution of OpenTelemetry Java 1.x collects the following application metrics data and attributes in addition to all that the upstream OpenTelemetry agent collects. To learn about the different metric types, see Metric types.

Note

To migrate from OpenTelemetry native metrics, see Migration guide for OpenTelemetry Java 2.x metrics.

Application metrics 🔗

The agent of the Splunk Distribution of OpenTelemetry Java 1.x collects the following application metrics.

Default metric dimensions 🔗

The following dimensions are automatically added to all metrics exported by the agent:

Dimension	Description
`deployment.environment`	Value of the `deployment.environment` resource attribute, if present.
`runtime`	Value of the `process.runtime.name` resource attribute, for example `OpenJDK Runtime Environment`.
`process.pid`	The Java process identifier (PID).
`container.id`	Identifier of the container, if applicable.
`host.name`	Name of the host.
`service`	Value of the `service.name` resource attribute.

Supported libraries 🔗

The agent collects the following metrics through the following libraries:

Library/Framework	Instrumentation	Supported versions
JVM metrics	`jvm-metrics-splunk`	Java runtimes version 8 and higher
Apache DBCP2 connection pool metrics	`commons-dbcp2-splunk`	Version 2.0 and higher
c3p0 connection pool metrics	`c3p0-splunk`	Version 0.9.5 and higher
HikariCP connection pool metrics	`hikaricp-splunk`	Version 3.0 and higher
Oracle Universal Connection Pool metrics (UCP)	`oracle-ucp-splunk`	Version 11.2.0.4 and higher
Tomcat JDBC connection pool metrics	`tomcat-jdbc-splunk`	Version 8.5 and higher
Vibur DBCP connection pool metrics	`vibur-dbcp-splunk`	Version 20.0 and higher
Tomcat thread pool metrics	`tomcat`	Version 8.5 and higher
WebSphere Liberty thread pool metrics	`liberty`	Version 20.0.0.12
WebLogic thread pool metrics	`weblogic`	Versions 12.x and 14.x

JVM metrics 🔗

The Splunk OTel Java agent 1.x collects the following Java Virtual Machine (JVM) metrics when metric collection is activated.

ClassLoader metrics 🔗

The agent collects the following ClassLoader metrics:

Metric	Type	Description
`runtime.jvm.classes.loaded`	Gauge	Number of loaded classes.
`runtime.jvm.classes.unloaded`	Counter	Total number of unloaded classes since the process started.

Garbage collection metrics 🔗

The agent collects the following garbage collection (GC) metrics:

Metric	Type	Description
`runtime.jvm.gc.concurrent.phase.time`	Timer	Time spent in concurrent phase, in milliseconds.
`runtime.jvm.gc.live.data.size`	Gauge	Size of long-lived heap memory pool after reclamation, in bytes.
`runtime.jvm.gc.max.data.size`	Gauge	Maximum size of long-lived heap memory pool, in bytes.
`runtime.jvm.gc.memory.allocated`	Counter	Increase in the size of the young heap memory pool after one garbage collection and before the next.
`runtime.jvm.gc.memory.promoted`	Counter	Count of positive increases in the size of the old generation memory pool from before to after garbage collection.
`runtime.jvm.gc.pause`	Timer	Time spent in garbage collection pause, in seconds. It produces multiple aggregations, such as `runtime.jvm.gc.pause.avg`, `runtime.jvm.gc.pause.count`, `runtime.jvm.gc.pause.max`, or `runtime.jvm.gc.pause.totalTime`.

Heap pressure metrics 🔗

The agent collects the following heap pressure metrics:

Metric	Type	Description
`runtime.jvm.gc.overhead`	Gauge	An approximation of the percentage of CPU time used by GC activities over the last lookback period or since monitoring began, whichever is shorter, in the range [0..1].
`runtime.jvm.memory.usage.after.gc`	Gauge	The percentage of long-lived heap pool used after the last GC event, in the range [0..1].

Memory metrics 🔗

The agent collects the following memory metrics:

Metric	Type	Description
`process.runtime.jvm.memory.allocated`	Counter	Total number of bytes allocated by JVM threads since the previous data point was emitted. Use the rate per second rollup. Requires to activate memory profiling, or to use the `splunk.metrics.experimental.enabled` flag.
`process.runtime.jvm.memory.reclaimed`	Counter	Total number of bytes reclaimed by the GC since the previous data point was emitted. Notes: This metric might be inaccurate for concurrent garbage collectors such as Shenandoah or ZGC. Use the rate per second rollup. Requires to activate memory profiling, or to use the `splunk.metrics.experimental.enabled` flag.
`runtime.jvm.buffer.count`	Gauge	An estimate of the number of buffers in the pool.
`runtime.jvm.buffer.memory.used`	Gauge	An estimate of the memory that the JVM is using for this buffer pool, in bytes.
`runtime.jvm.buffer.total.capacity`	Gauge	An estimate of the total capacity of the buffers in this pool, in bytes.
`runtime.jvm.memory.committed`	Gauge	Amount of memory available to the JVM, in bytes.
`runtime.jvm.memory.max`	Gauge	Maximum amount of memory available for memory management, in bytes.
`runtime.jvm.memory.used`	Gauge	Amount of used memory, in bytes.

All memory pool metrics share the following tags:

Tag	Value
`area`	Either `heap` or `nonheap`
`id`	Name of the memory pool. For example, `Perm Gen`

Thread metrics 🔗

The agent collects the following thread metrics:

Metric	Type	Description
`runtime.jvm.threads.daemon`	Gauge	Number of live daemon threads.
`runtime.jvm.threads.live`	Gauge	Number of live threads, including both daemon and nondaemon threads.
`runtime.jvm.threads.peak`	Gauge	Peak live thread count since the JVM started or peak was reset.
`runtime.jvm.threads.states`	Gauge	Number of threads per `state` as a metric tag.

Connection pool metrics 🔗

The Splunk Distribution of OpenTelemetry Java 1.x instruments several Java Database Connectivity (JDBC) connection pool implementations:

Apache DBCP2
c3p0
HikariCP
Oracle Universal Connection Pool (UCP)
Tomcat JDBC
Vibur DBCP
WebSphere Liberty
WebLogic thread pools

Each of the connection pools reports a subset of the following metrics:

Metric	Type	Description
`db.pool.connections`	Gauge	Number of open connections.
`db.pool.connections.active`	Gauge	Number of open connections that are in use.
`db.pool.connections.idle`	Gauge	Number of open connections that are idle.
`db.pool.connections.idle.max`	Gauge	Maximum number of idle open connections allowed.
`db.pool.connections.idle.min`	Gauge	Minimum number of idle open connections allowed.
`db.pool.connections.max`	Gauge	Maximum number of open connections allowed.
`db.pool.connections.pending_threads`	Gauge	Number of threads that are waiting for an open connection.
`db.pool.connections.timeouts`	Counter	Number of connection timeouts that have happened since the application started.
`db.pool.connections.create_time`	Timer	Time it took to create a new connection.
`db.pool.connections.wait_time`	Timer	Time it took to get an open connection from the pool.
`db.pool.connections.use_time`	Timer	Time between borrowing a connection and returning it to the pool.

All connection pool metrics share the following tags:

Tag	Value
`pool.name`	Name of the connection pool. Spring bean name if Spring is used, JMX object name otherwise.
`pool.type`	Type or implementation of the connection pool. For example, `c3p0`, `dbcp2`, or `hikari`.

Thread pool metrics 🔗

The Splunk Distribution of OpenTelemetry Java 1.x instruments the following thread pool implementations:

Tomcat connector thread pools
WebSphere Liberty web request thread pool
Weblogic thread pools

Each of the supported connection pools reports a subset of the following metrics:

Metric	Type	Description
`executor.threads`	Timer	Number of threads in the pool.
`executor.threads.active`	Timer	Number of threads that are executing code.
`executor.threads.idle`	Timer	Number of threads that aren’t executing code.
`executor.threads.core`	Timer	Core thread pool size, expressed as the number of threads that are always kept in the pool.
`executor.threads.max`	Timer	Maximum number of threads in the pool.
`executor.tasks.submitted`	Counter	Total number of tasks submitted to the executor.
`executor.tasks.completed`	Counter	Total number of tasks completed by the executor.

All thread pool metrics have the following tags:

Tag	Value
`executor.name`	Name of the thread pool.
`executor.type`	Type/implementation of the connection pool. For example, `tomcat`, `liberty`, or `weblogic`.

WebEngine attributes 🔗

The Splunk Distribution of OpenTelemetry Java captures data about the application server and adds the following attributes to SERVER spans:

Span attribute	Description
`webengine.name`	Name of the applications server. For example, `tomcat`.
`webengine.version`	Version of the application server.

For a list of supported application servers, see the OpenTelemetry documentation at https://github.com/open-telemetry/opentelemetry-java-instrumentation/blob/main/docs/supported-libraries.md#application-servers.

This page was last updated on Jun 25, 2024.

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