OpenTelemetry Java Runtime Metrics

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Prerequisites

You are successfully sending OpenTelemetry metrics to Datadog.
You have installed the language integration for Java.

OpenTelemetry SDK configuration

If you have instrumented your Java applications with OpenTelemetry automatic instrumentation, runtime metrics are automatically enabled.

If you have instrumented your Java application with OpenTelemetry manual instrumentation, see the following guides for your Java version:

Runtime metric mappings

The following table lists the Datadog runtime metrics that are supported by mapping OpenTelemetry runtime metrics, with “N/A” indicating that there is no OpenTelemetry counterpart.

Datadog metric	Description	OpenTelemetry counterpart
`jvm.heap_memory`	The total Java heap memory used.	`process.runtime.jvm.memory.usage`
`jvm.heap_memory_committed`	The total Java heap memory committed to be used.	`process.runtime.jvm.memory.committed`
`jvm.heap_memory_init`	The initial Java heap memory allocated.	`process.runtime.jvm.memory.init`
`jvm.heap_memory_max`	The maximum Java heap memory available.	`process.runtime.jvm.memory.limit`
`jvm.non_heap_memory`	The total Java non-heap memory used. Non-heap memory is: `Metaspace + CompressedClassSpace + CodeCache`.	`process.runtime.jvm.memory.usage`
`jvm.non_heap_memory_committed`	The total Java non-heap memory committed to be used.	`process.runtime.jvm.memory.committed`
`jvm.non_heap_memory_init`	The initial Java non-heap memory allocated.	`process.runtime.jvm.memory.init`
`jvm.non_heap_memory_max`	The maximum Java non-heap memory available.	`process.runtime.jvm.memory.limit`
`jvm.gc.old_gen_size`		`process.runtime.jvm.memory.usage`
`jvm.gc.eden_size`		`process.runtime.jvm.memory.usage`
`jvm.gc.survivor_size`		`process.runtime.jvm.memory.usage`
`jvm.gc.metaspace_size`		`process.runtime.jvm.memory.usage`
`jvm.thread_count`	The number of live threads.	`process.runtime.jvm.threads.count`
`jvm.loaded_classes`	Number of classes currently loaded.	`process.runtime.jvm.classes.loaded`
`jvm.cpu_load.system`	Recent CPU utilization for the whole system.	`process.runtime.jvm.system.cpu.utilization`
`jvm.cpu_load.process`	Recent CPU utilization for the process.	`process.runtime.jvm.cpu.utilization`
`jvm.buffer_pool.direct.used`	Measure of memory used by direct buffers.	`process.runtime.jvm.buffer.usage`
`jvm.buffer_pool.direct.count`	Number of direct buffers in the pool.	`process.runtime.jvm.buffer.count`
`jvm.buffer_pool.direct.capacity`	Measure of total memory capacity of direct buffers.	`process.runtime.jvm.buffer.limit`
`jvm.buffer_pool.mapped.used`	Measure of memory used by mapped buffers.	`process.runtime.jvm.buffer.usage`
`jvm.buffer_pool.mapped.count`	Number of mapped buffers in the pool.	`process.runtime.jvm.buffer.count`
`jvm.buffer_pool.mapped.capacity`	Measure of total memory capacity of mapped buffers.	`process.runtime.jvm.buffer.limit`
`jvm.gc.parnew.time`	The approximate accumulated garbage collection time elapsed.	`process.runtime.jvm.gc.duration`
`jvm.gc.cms.count`	The total number of garbage collections that have occurred.	N/A
`jvm.gc.major_collection_count`	The rate of major garbage collections. Set `new_gc_metrics: true` to receive this metric.	N/A
`jvm.gc.minor_collection_count`	The rate of minor garbage collections. Set `new_gc_metrics: true` to receive this metric.	N/A
`jvm.gc.major_collection_time`	The fraction of time spent in major garbage collection. Set `new_gc_metrics: true` to receive this metric.	N/A
`jvm.gc.minor_collection_time`	The fraction of time spent in minor garbage collection. Set `new_gc_metrics: true` to receive this metric.	N/A
`jvm.os.open_file_descriptors`		N/A