--- title: Internal telemetry weight: 25 cSpell:ignore: alloc batchprocessor journalctl --- You can inspect the health of any OpenTelemetry Collector instance by checking its own internal telemetry. Read on to learn about this telemetry and how to configure it to help you [monitor](#use-internal-telemetry-to-monitor-the-collector) and [troubleshoot](/docs/collector/troubleshooting/) the Collector. {{% alert title="Important" color="warning" %}} The Collector uses the OpenTelemetry SDK [declarative configuration schema](https://github.com/open-telemetry/opentelemetry-configuration) for configuring how to export its internal telemetry. This schema is still under [development](/docs/specs/otel/document-status/#lifecycle-status) and may undergo **breaking changes** in future releases. We intend to keep supporting older schemas until a 1.0 schema release is available, and offer a transition period for users to update their configurations before dropping pre-1.0 schemas. For details and to track progress see [issue #10808](https://github.com/open-telemetry/opentelemetry-collector/issues/10808). {{% /alert %}} ## Activate internal telemetry in the Collector By default, the Collector exposes its own telemetry in two ways: - Internal [metrics](#configure-internal-metrics) are exposed using a Prometheus interface which defaults to port `8888`. - [Logs](#configure-internal-logs) are emitted to `stderr` by default. ### Configure internal metrics You can configure how internal metrics are generated and exposed by the Collector. By default, the Collector generates basic metrics about itself and exposes them using the OpenTelemetry Go [Prometheus exporter](https://github.com/open-telemetry/opentelemetry-go/tree/main/exporters/prometheus) for scraping at `http://127.0.0.1:8888/metrics`. The Collector can push its internal metrics to an OTLP backend via the following configuration: ```yaml service: telemetry: metrics: readers: - periodic: exporter: otlp: protocol: http/protobuf endpoint: https://backend:4318 ``` Alternatively, you can expose the Prometheus endpoint to one specific or all network interfaces when needed. For containerized environments, you might want to expose this port on a public interface. Set the Prometheus config under `service::telemetry::metrics`: ```yaml service: telemetry: metrics: readers: - pull: exporter: prometheus: host: '0.0.0.0' port: 8888 ``` {{% alert title="Internal telemetry configuration changes" color="info" %}} As of Collector [v0.123.0], the `service::telemetry::metrics::address` setting is ignored. In earlier versions, it could be configured with: ```yaml service: telemetry: metrics: address: 0.0.0.0:8888 ``` [v0.123.0]: https://github.com/open-telemetry/opentelemetry-collector/releases/tag/v0.123.0 {{% /alert %}} You can adjust the verbosity of the Collector metrics output by setting the `level` field to one of the following values: - `none`: no telemetry is collected. - `basic`: essential service telemetry. - `normal`: the default level, adds standard indicators on top of basic. - `detailed`: the most verbose level, includes dimensions and views. Each verbosity level represents a threshold at which certain metrics are emitted. For the complete list of metrics, with a breakdown by level, see [Lists of internal metrics](#lists-of-internal-metrics). The default level for metrics output is `normal`. To use another level, set `service::telemetry::metrics::level`: ```yaml service: telemetry: metrics: level: detailed ``` ### Configure internal logs Log output is found in `stderr`. You can configure logs in the config `service::telemetry::logs`. The [configuration options](https://github.com/open-telemetry/opentelemetry-collector/blob/main/service/telemetry/config.go) are: | Field name | Default value | Description | | ---------------------- | ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `level` | `INFO` | Sets the minimum enabled logging level. Other possible values are `DEBUG`, `WARN`, and `ERROR`. | | `development` | `false` | Puts the logger in development mode. | | `encoding` | `console` | Sets the logger's encoding. The other possible value is `json`. | | `disable_caller` | `false` | Stops annotating logs with the calling function's file name and line number. By default, all logs are annotated. | | `disable_stacktrace` | `false` | Disables automatic stacktrace capturing. Stacktraces are captured for logs at `WARN` level and above in development and at `ERROR` level and above in production. | | `sampling::enabled` | `true` | Sets a sampling policy. | | `sampling::tick` | `10s` | The interval in seconds that the logger applies to each sampling. | | `sampling::initial` | `10` | The number of messages logged at the start of each `sampling::tick`. | | `sampling::thereafter` | `100` | Sets the sampling policy for subsequent messages after `sampling::initial` messages are logged. When `sampling::thereafter` is set to `N`, every `Nth` message is logged and all others are dropped. If `N` is zero, the logger drops all messages after `sampling::initial` messages are logged. | | `output_paths` | `["stderr"]` | A list of URLs or file paths to write logging output to. | | `error_output_paths` | `["stderr"]` | A list of URLs or file paths to write logger errors to. | | `initial_fields` | | A collection of static key-value pairs added to all log entries to enrich logging context. By default, there is no initial field. | You can also see logs for the Collector on a Linux systemd system using `journalctl`: {{< tabpane text=true >}} {{% tab "All logs" %}} ```sh journalctl | grep otelcol ``` {{% /tab %}} {{% tab "Errors only" %}} ```sh journalctl | grep otelcol | grep Error ``` {{% /tab %}} {{< /tabpane >}} The following configuration can be used to emit internal logs from the Collector to an OTLP/HTTP backend: ```yaml service: telemetry: logs: processors: - batch: exporter: otlp: protocol: http/protobuf endpoint: https://backend:4318 ``` ### Configure internal traces The Collector does not expose traces by default, but it can be configured to. {{% alert title="Caution" color="warning" %}} Internal tracing is an experimental feature, and no guarantees are made as to the stability of the emitted span names and attributes. {{% /alert %}} The following configuration can be used to emit internal traces from the Collector to an OTLP backend: ```yaml service: telemetry: traces: processors: - batch: exporter: otlp: protocol: http/protobuf endpoint: https://backend:4318 ``` See the [example configuration][kitchen-sink-config] for additional options. Note that the `tracer_provider` section there corresponds to `traces` here. [kitchen-sink-config]: https://github.com/open-telemetry/opentelemetry-configuration/blob/main/examples/kitchen-sink.yaml ## Types of internal telemetry The OpenTelemetry Collector aims to be a model of observable service by clearly exposing its own operational metrics. Additionally, it collects host resource metrics that can help you understand if problems are caused by a different process on the same host. Specific components of the Collector can also emit their own custom telemetry. In this section, you will learn about the different types of observability emitted by the Collector itself. ### Summary of values observable with internal metrics The Collector emits internal metrics for at least the following values: - Process uptime and CPU time since start. - Process memory and heap usage. - For receivers: Items accepted and refused, per data type. - For processors: Incoming and outgoing items. - For exporters: Items the exporter sent, failed to enqueue, and failed to send, per data type. - For exporters: Queue size and capacity. - Count, duration, and size of HTTP/gRPC requests and responses. A more detailed list is available in the following sections. ### Lists of internal metrics The following tables group each internal metric by level of verbosity: `basic`, `normal`, and `detailed`. Each metric is identified by name and description and categorized by instrumentation type. {{% alert title="Note" color="info" %}} As of Collector v0.106.1, internal metric names are handled differently based on their source: - Metrics generated from Collector components are prefixed with `otelcol_`. - Metrics generated from instrumentation libraries do not use the `otelcol_` prefix by default, unless their metric names are explicitly prefixed. For Collector versions prior to v0.106.1, all internal metrics emitted using the Prometheus exporter, regardless of their origin, are prefixed with `otelcol_`. This includes metrics from both Collector components and instrumentation libraries. {{% /alert %}} {{< comment >}} To compile this list, configure a Collector instance to emit its own metrics to the localhost:8888/metrics endpoint. Select a metric and grep for it in the Collector core repository. For example, the `otelcol_process_memory_rss` can be found using:`grep -Hrn "memory_rss" .` Make sure to eliminate from your search string any words that might be prefixes. Look through the results until you find the .go file that contains the list of metrics. In the case of `otelcol_process_memory_rss`, it and other process metrics can be found in . Note that the Collector's internal metrics are defined in several different files in the repository. {{< /comment >}} #### `basic`-level metrics | Metric name | Description | Type | | ------------------------------------------------------ | --------------------------------------------------------------------------------------- | ------- | | `otelcol_exporter_enqueue_failed_`
`log_records` | Number of logs that exporter(s) failed to enqueue. | Counter | | `otelcol_exporter_enqueue_failed_`
`metric_points` | Number of metric points that exporter(s) failed to enqueue. | Counter | | `otelcol_exporter_enqueue_failed_`
`spans` | Number of spans that exporter(s) failed to enqueue. | Counter | | `otelcol_exporter_queue_capacity` | Fixed capacity of the sending queue, in batches. | Gauge | | `otelcol_exporter_queue_size` | Current size of the sending queue, in batches. | Gauge | | `otelcol_exporter_send_failed_`
`log_records` | Number of logs that exporter(s) failed to send to destination. | Counter | | `otelcol_exporter_send_failed_`
`metric_points` | Number of metric points that exporter(s) failed to send to destination. | Counter | | `otelcol_exporter_send_failed_`
`spans` | Number of spans that exporter(s) failed to send to destination. | Counter | | `otelcol_exporter_sent_log_records` | Number of logs successfully sent to destination. | Counter | | `otelcol_exporter_sent_metric_points` | Number of metric points successfully sent to destination. | Counter | | `otelcol_exporter_sent_spans` | Number of spans successfully sent to destination. | Counter | | `otelcol_process_cpu_seconds` | Total CPU user and system time in seconds. | Counter | | `otelcol_process_memory_rss` | Total physical memory (resident set size) in bytes. | Gauge | | `otelcol_process_runtime_heap_`
`alloc_bytes` | Bytes of allocated heap objects (see 'go doc runtime.MemStats.HeapAlloc'). | Gauge | | `otelcol_process_runtime_total_`
`alloc_bytes` | Cumulative bytes allocated for heap objects (see 'go doc runtime.MemStats.TotalAlloc'). | Counter | | `otelcol_process_runtime_total_`
`sys_memory_bytes` | Total bytes of memory obtained from the OS (see 'go doc runtime.MemStats.Sys'). | Gauge | | `otelcol_process_uptime` | Uptime of the process in seconds. | Counter | | `otelcol_processor_incoming_items` | Number of items passed to the processor. | Counter | | `otelcol_processor_outgoing_items` | Number of items emitted from the processor. | Counter | | `otelcol_receiver_accepted_`
`log_records` | Number of logs successfully ingested and pushed into the pipeline. | Counter | | `otelcol_receiver_accepted_`
`metric_points` | Number of metric points successfully ingested and pushed into the pipeline. | Counter | | `otelcol_receiver_accepted_spans` | Number of spans successfully ingested and pushed into the pipeline. | Counter | | `otelcol_receiver_refused_`
`log_records` | Number of logs that could not be pushed into the pipeline. | Counter | | `otelcol_receiver_refused_`
`metric_points` | Number of metric points that could not be pushed into the pipeline. | Counter | | `otelcol_receiver_refused_spans` | Number of spans that could not be pushed into the pipeline. | Counter | | `otelcol_scraper_errored_`
`metric_points` | Number of metric points the Collector failed to scrape. | Counter | | `otelcol_scraper_scraped_`
`metric_points` | Number of metric points scraped by the Collector. | Counter | #### Additional `normal`-level metrics | Metric name | Description | Type | | ------------------------------------------------------- | --------------------------------------------------------------- | --------- | | `otelcol_processor_batch_batch_`
`send_size` | Number of units in the batch that was sent. | Histogram | | `otelcol_processor_batch_batch_size_`
`trigger_send` | Number of times the batch was sent due to a size trigger. | Counter | | `otelcol_processor_batch_metadata_`
`cardinality` | Number of distinct metadata value combinations being processed. | Counter | | `otelcol_processor_batch_timeout_`
`trigger_send` | Number of times the batch was sent due to a timeout trigger. | Counter | {{% alert title="Batch processor metrics level changes" color="info" %}} In Collector [v0.99.0], all batch processor metrics were upgraded from `basic` to `normal` (current level), except for `otelcol_processor_batch_batch_send_size_bytes`, which has been `detailed` since its introduction. Note however that these metrics were inadvertently reverted to `basic` from v0.109.0 to v0.121.0. [v0.99.0]: https://github.com/open-telemetry/opentelemetry-collector/releases/tag/v0.99.0 {{% /alert %}} #### Additional `detailed`-level metrics | Metric name | Description | Type | | ----------------------------------------------------- | ----------------------------------------------------------------------------------------- | --------- | | `http_client_active_requests` | Number of active HTTP client requests. | Counter | | `http_client_connection_duration` | Measures the duration of the successfully established outbound HTTP connections. | Histogram | | `http_client_open_connections` | Number of outbound HTTP connections that are active or idle on the client. | Counter | | `http_client_request_size` | Measures the size of HTTP client request bodies. | Counter | | `http_client_duration` | Measures the duration of HTTP client requests. | Histogram | | `http_client_response_size` | Measures the size of HTTP client response bodies. | Counter | | `http_server_active_requests` | Number of active HTTP server requests. | Counter | | `http_server_request_size` | Measures the size of HTTP server request bodies. | Counter | | `http_server_duration` | Measures the duration of HTTP server requests. | Histogram | | `http_server_response_size` | Measures the size of HTTP server response bodies. | Counter | | `otelcol_processor_batch_batch_`
`send_size_bytes` | Number of bytes in the batch that was sent. | Histogram | | `rpc_client_duration` | Measures the duration of outbound RPC. | Histogram | | `rpc_client_request_size` | Measures the size of RPC request messages (uncompressed). | Histogram | | `rpc_client_requests_per_rpc` | Measures the number of messages received per RPC. Should be 1 for all non-streaming RPCs. | Histogram | | `rpc_client_response_size` | Measures the size of RPC response messages (uncompressed). | Histogram | | `rpc_client_responses_per_rpc` | Measures the number of messages sent per RPC. Should be 1 for all non-streaming RPCs. | Histogram | | `rpc_server_duration` | Measures the duration of inbound RPC. | Histogram | | `rpc_server_request_size` | Measures the size of RPC request messages (uncompressed). | Histogram | | `rpc_server_requests_per_rpc` | Measures the number of messages received per RPC. Should be 1 for all non-streaming RPCs. | Histogram | | `rpc_server_response_size` | Measures the size of RPC response messages (uncompressed). | Histogram | | `rpc_server_responses_per_rpc` | Measures the number of messages sent per RPC. Should be 1 for all non-streaming RPCs. | Histogram | {{% alert title="Note" color="info" %}} The `http_` and `rpc_` metrics come from instrumentation libraries. Their original names use dots (`.`), but when exposing internal metrics with Prometheus, they are translated to use underscores (`_`) to match Prometheus' naming constraints. These metrics are not covered by the maturity levels below since they are not under the Collector SIG control. The `otelcol_processor_batch_` metrics are unique to the `batchprocessor`. The `otelcol_receiver_`, `otelcol_scraper_`, `otelcol_processor_`, and `otelcol_exporter_` metrics come from their respective `helper` packages. As such, some components not using those packages may not emit them. {{% /alert %}} ### Events observable with internal logs The Collector logs the following internal events: - A Collector instance starts or stops. - Data dropping begins due to throttling for a specified reason, such as local saturation, downstream saturation, downstream unavailable, etc. - Data dropping due to throttling stops. - Data dropping begins due to invalid data. A sample of the invalid data is included. - Data dropping due to invalid data stops. - A crash is detected, differentiated from a clean stop. Crash data is included if available. ## Telemetry maturity levels The Collector telemetry levels apply to all first-party telemetry produced by the Collector. Third-party libraries, including those of OpenTelemetry Go, are not covered by these maturity levels. ### Traces Tracing instrumentation is still under active development, and changes might be made to span names, attached attributes, instrumented endpoints, or other aspects of the telemetry. Until this feature graduates to stable, there are no guarantees of backwards compatibility for tracing instrumentation. ### Metrics The Collector's first-party metrics follow a four-stage lifecycle: > Alpha metric → Stable metric → Deprecated metric → Deleted metric Third-party metrics, including those generated by OpenTelemetry Go instrumentation libraries, are not covered by these maturity levels. #### Alpha Alpha metrics have no stability guarantees. These metrics can be modified or deleted at any time. #### Stable Stable metrics are guaranteed to not change. This means: - A stable metric without a deprecated signature will not be deleted or renamed. - A stable metric's type and attributes will not be modified. #### Deprecated Deprecated metrics are slated for deletion but are still available for use. The description of these metrics include an annotation about the version in which they became deprecated. For example: Before deprecation: ```sh # HELP otelcol_exporter_queue_size this counts things # TYPE otelcol_exporter_queue_size counter otelcol_exporter_queue_size 0 ``` After deprecation: ```sh # HELP otelcol_exporter_queue_size (Deprecated since 1.15.0) this counts things # TYPE otelcol_exporter_queue_size counter otelcol_exporter_queue_size 0 ``` #### Deleted Deleted metrics are no longer published and cannot be used. ### Logs Individual log entries and their formatting might change from one release to the next. There are no stability guarantees at this time. ## Use internal telemetry to monitor the Collector This section recommends best practices for monitoring the Collector using its own telemetry. ### Monitoring #### Queue length Most exporters provide a [queue and/or retry mechanism](https://github.com/open-telemetry/opentelemetry-collector/blob/main/exporter/exporterhelper/README.md) that is recommended for use in any production deployment of the Collector. The `otelcol_exporter_queue_capacity` metric indicates the capacity, in batches, of the sending queue. The `otelcol_exporter_queue_size` metric indicates the current size of the sending queue. Use these two metrics to check if the queue capacity can support your workload. Using the following three metrics, you can identify the number of spans, metric points, and log records that failed to reach the sending queue: - `otelcol_exporter_enqueue_failed_spans` - `otelcol_exporter_enqueue_failed_metric_points` - `otelcol_exporter_enqueue_failed_log_records` These failures could be caused by a queue filled with unsettled elements. You might need to decrease your sending rate or horizontally scale Collectors. The queue or retry mechanism also supports logging for monitoring. Check the logs for messages such as `Dropping data because sending_queue is full`. #### Receive failures Sustained rates of `otelcol_receiver_refused_log_records`, `otelcol_receiver_refused_spans`, and `otelcol_receiver_refused_metric_points` indicate that too many errors were returned to clients. Depending on the deployment and the clients' resilience, this might indicate clients' data loss. Sustained rates of `otelcol_exporter_send_failed_log_records`, `otelcol_exporter_send_failed_spans`, and `otelcol_exporter_send_failed_metric_points` indicate that the Collector is not able to export data as expected. These metrics do not inherently imply data loss since there could be retries. But a high rate of failures could indicate issues with the network or backend receiving the data. #### Data flow You can monitor data ingress with the `otelcol_receiver_accepted_log_records`, `otelcol_receiver_accepted_spans`, and `otelcol_receiver_accepted_metric_points` metrics and data egress with the `otelcol_exporter_sent_log_records`, `otelcol_exporter_sent_spans`, and `otelcol_exporter_sent_metric_points` metrics.