Enable Prometheus metrics#

To collect and expose metrics, n8n uses the prom-client library.

The /metrics endpoint is disabled by default, but it's possible to enable it using the N8N_METRICS environment variable.

Don't expose the metrics endpoint publicly

Only expose the /metrics endpoint to internal services that consume the Prometheus data. Don't make it accessible on the public internet, as it can reveal sensitive operational data about your n8n instance.

export N8N_METRICS=true

Refer to the respective Environment Variables (N8N_METRICS_INCLUDE_*) for configuring which metrics and labels should get exposed.

Both main and worker instances are able to expose metrics.

For guidance on connecting Grafana to Prometheus to visualize n8n metrics, refer to Grafana.

Queue metrics#

To enable queue metrics, set the N8N_METRICS_INCLUDE_QUEUE_METRICS env var to true. You can adjust the refresh rate with N8N_METRICS_QUEUE_METRICS_INTERVAL.

n8n gathers these metrics from Bull and exposes them on the main instances. On multi-main setups, when aggregating queries, you can identify the leader using the instance_role_leader gauge, set to 1 for the leader main and 0 otherwise.

# HELP n8n_scaling_mode_queue_jobs_active Current number of jobs being processed across all workers in scaling mode.
# TYPE n8n_scaling_mode_queue_jobs_active gauge
n8n_scaling_mode_queue_jobs_active 0

# HELP n8n_scaling_mode_queue_jobs_completed Total number of jobs completed across all workers in scaling mode since instance start.
# TYPE n8n_scaling_mode_queue_jobs_completed counter
n8n_scaling_mode_queue_jobs_completed 0

# HELP n8n_scaling_mode_queue_jobs_failed Total number of jobs failed across all workers in scaling mode since instance start.
# TYPE n8n_scaling_mode_queue_jobs_failed counter
n8n_scaling_mode_queue_jobs_failed 0

# HELP n8n_scaling_mode_queue_jobs_waiting Current number of enqueued jobs waiting for pickup in scaling mode.
# TYPE n8n_scaling_mode_queue_jobs_waiting gauge
n8n_scaling_mode_queue_jobs_waiting 0

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