Metrics and attributes collected by the Splunk Distribution of OpenTelemetry Python 🔗

The Splunk Distribution of OpenTelemetry Python collects runtime and custom metrics. To automatically collect metrics from your Python applications, you must have splunk-otel-python version 1.14.0 or higher. For more information, see About the Splunk Distribution of OpenTelemetry Python.

To learn about the different metric types, see Metric types.

For examples of custom metrics instrumentation and instrument types, see Create custom metrics.

Caution

This feature is experimental, and exported metric data and configuration properties might change. To learn more, see https://github.com/signalfx/splunk-otel-python/blob/main/docs/advanced-config.md.

Application metrics 🔗

The agent of the Splunk Distribution of OpenTelemetry Python collects the following application metrics.

Default metrics 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.
`service.name`	Name of the service.
`telemetry.sdk.name`	Name of the SDK, set to `opentelemetry`.
`telemetry.sdk.language`	Language of the SDK, set to `python`.
`telemetry.sdk.version`	Version of the OpenTelemetry SDK.

Supported libraries 🔗

The Python agent collects metrics through the following supported libraries:

Library/Framework	Instrumentation	Supported versions
Django	`opentelemetry-instrumentation-django`	Django version 1.10 or higher
Pyramid	`opentelemetry-instrumentation-pyramid`	Pyramid version 1.7 or higher

Runtime metrics 🔗

The Python agent automatically collects and exports the following application runtime metrics:

Metric	Type	Description
`process.runtime.cpython.memory`	Counter	Memory used by the Python runtime.
`process.runtime.cpython.cpu_time`	Cumulative counter	CPU time used by the Python runtime.
`process.runtime.cpython.gc_count`	Cumulative counter	Garbage collections executed by the Python runtime.

System metrics 🔗

The Python agent automatically collects and exports the following system metrics:

Metric	Type	Description
`system.cpu.time`	Counter	Total seconds each logical CPU spent on each mode.
`system.cpu.utilization`	Gauge	Difference in `system.cpu.time` since the last measurement per logical CPU, divided by the elapsed time (value in interval [0,1]).
`system.memory.usage`	Counter	Bytes of memory in use.
`system.memory.utilization`	Gauge	Percentage of memory bytes in use.
`system.swap.usage`	Counter	Bytes of swap space in use.
`system.swap.utilization`	Gauge	Percentage of swap space bytes in use.
`system.disk.io`	Counter	Disk bytes transferred.
`system.disk.operations`	Counter	Disk operations count.
`system.disk.time`	Counter	Time disk spent activated.
`system.network.dropped.packets`	Counter	The number of packets dropped.
`system.network.packets`	Counter	The number of packets transferred.
`system.network.errors`	Counter	The number of errors encountered.
`system.network.io`	Counter	The number of bytes transmitted and received.
`system.network.connections`	Counter	The number of connections.
`system.thread_count`	Counter	The number of threads.

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