Automation Platform > Deployment & hosting
Self-hosted worker monitoring
# Self-hosted worker monitoring The `oz-agent-worker` daemon exports [OpenTelemetry](https://opentelemetry.io/) metrics for worker health, task throughput, and capacity. Use these metrics with the <a href=https://oz.warp.dev>cloud agent dashboard</a> to monitor self-hosted compute and cloud runs. ## Key features * **Prometheus scrape** — Expose a `/metrics` endpoint for Prometheus to scrape, with optional `PodMonitor` support for the Prometheus Operator. * **OTLP push** — Push metrics to any OpenTelemetry-compatible collector (Grafana Alloy, Datadog Agent, New Relic, etc.). * **Standard configuration** — Select an exporter with [OpenTelemetry environment variables](https://opentelemetry.io/docs/specs/otel/configuration/sdk-environment-variables/). * **Pre-seeded series** — Metric series appear at startup before any tasks run. ## How it works The worker uses the [OpenTelemetry autoexport package](https://github.com/open-telemetry/opentelemetry-go-contrib/tree/main/exporters/autoexport) to select an exporter at runtime based on the `OTEL_METRICS_EXPORTER` environment variable. Supported values: * `prometheus` — Starts an in-process HTTP server serving `/metrics`. * `otlp` — Pushes metrics over OTLP (HTTP/protobuf by default). * `console` — Writes metrics to stdout (useful for debugging). * `none` — Disables metrics export entirely. When `OTEL_METRICS_EXPORTER` is unset, autoexport uses OTLP. Set it to `none` to disable metrics. All metrics carry resource attributes (`service.name=oz-agent-worker`, `service.version`, `worker.id`, `worker.backend`) so each worker process shows up as a distinct series in your monitoring system. --- ## Enable Prometheus scrape Set these environment variables before starting the worker to expose a Prometheus-compatible `/metrics` endpoint: ```bash export OTEL_METRICS_EXPORTER=prometheus export OTEL_EXPORTER_PROMETHEUS_HOST=0.0.0.0 export OTEL_EXPORTER_PROMETHEUS_PORT=9464 oz-agent-worker --api-key "$WARP_API_KEY" --worker-id "my-worker" ``` Verify the endpoint is serving metrics: ```bash curl -s localhost:9464/metrics | grep oz_worker_ ``` **Expected outcome:** You see `oz_worker_connected`, `oz_worker_tasks_active`, and other `oz_worker_*` metric families in the output. :::note Bind to `0.0.0.0` (not `localhost`) when running in Docker or Kubernetes so the Prometheus server, kubelet, or scrape target can reach the endpoint from outside the container. ::: --- ## Enable OTLP push Set these environment variables to push metrics to an OpenTelemetry collector: ```bash export OTEL_METRICS_EXPORTER=otlp export OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf export OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector.observability.svc:4318 oz-agent-worker --api-key "$WARP_API_KEY" --worker-id "my-worker" ``` The worker pushes metrics at the SDK's default interval. Configure the collector endpoint, protocol, and headers using standard [OTLP exporter environment variables](https://opentelemetry.io/docs/specs/otel/protocol/exporter/). --- ## Helm chart configuration The [Helm chart](/platform/self-hosting/managed-kubernetes/) includes built-in support for metrics. Enable metrics with `metrics.enabled=true`: ```bash helm install oz-agent-worker ./charts/oz-agent-worker \ --namespace warp-oz \ --set worker.workerId=my-worker \ --set image.tag=VERSION \ --set metrics.enabled=true ``` With `metrics.enabled=true` and the default `metrics.exporter=prometheus`, the chart adds: * A `containerPort: metrics` (default 9464) on the worker Deployment. * The `OTEL_METRICS_EXPORTER`, `OTEL_EXPORTER_PROMETHEUS_HOST`, and `OTEL_EXPORTER_PROMETHEUS_PORT` environment variables. * A namespace-scoped `Service` named `<release>-oz-agent-worker-metrics` with `prometheus.io/scrape` annotations. * Optionally, a `PodMonitor` (`metrics.podMonitor.create=true`) for clusters using the Prometheus Operator. ### Helm values **Core:** * `metrics.enabled` — Enable metrics export. Defaults to `false`. * `metrics.exporter` — Exporter type: `prometheus` (default), `otlp`, `console`, or `none`. * `metrics.port` — Port for the Prometheus exporter. Defaults to `9464`. Ignored for `otlp`/`console`. * `metrics.extraEnv` — Extra environment variables for the worker container (e.g., `OTEL_EXPORTER_OTLP_ENDPOINT`). **Service (Prometheus scrape):** * `metrics.service.create` — Create a metrics `Service`. Defaults to `true`. * `metrics.service.type` — Service type. Defaults to `ClusterIP`. * `metrics.service.annotations` — Annotations on the Service. Defaults include `prometheus.io/scrape: "true"`. **PodMonitor (Prometheus Operator):** * `metrics.podMonitor.create` — Create a `PodMonitor`. Defaults to `false` (avoids requiring `monitoring.coreos.com` CRDs). * `metrics.podMonitor.interval` — Scrape interval. Defaults to `30s`. * `metrics.podMonitor.scrapeTimeout` — Scrape timeout. Defaults to `10s`. * `metrics.podMonitor.additionalLabels` — Extra labels on the `PodMonitor` resource. ### OTLP push via Helm To push metrics to an OTLP collector instead of exposing a Prometheus endpoint, set `metrics.exporter=otlp` and forward the endpoint via `metrics.extraEnv`: ```yaml metrics: enabled: true exporter: otlp extraEnv: - name: OTEL_EXPORTER_OTLP_ENDPOINT value: http://otel-collector.observability.svc:4318 ``` --- ## Metric catalog All metrics use the `oz_worker_` prefix. Each worker process with metrics enabled emits a distinct set of series, identified by the resource attributes `service.name`, `service.version`, `worker.id`, and `worker.backend`. * **`oz_worker_connected`** (gauge) — `1` while the worker has an active WebSocket connection to the Automation Platform's backend, `0` otherwise. * **`oz_worker_tasks_active`** (gauge / UpDownCounter) — Tasks currently executing on this worker. * **`oz_worker_tasks_max_concurrent`** (gauge) — Configured concurrency limit (`0` means unlimited). * **`oz_worker_tasks_claimed_total`** (counter) — Total tasks accepted since process start. * **`oz_worker_tasks_rejected_total{reason}`** (counter) — Tasks the worker declined (e.g., `reason="at_capacity"`). * **`oz_worker_tasks_completed_total{result}`** (counter) — Completed tasks labeled `result="succeeded"`, `result="failed"`, `result="cancelled"`, or `result="dispatched"`. * **`oz_worker_task_duration_seconds{result}`** (histogram) — Wall-clock task duration on the worker, labeled by result. * **`oz_worker_task_failures_total{phase,reason}`** (counter) — Task failures classified by execution phase and a bounded reason such as `image_pull`, `unschedulable`, `container_oom`, or `evicted`. * **`oz_worker_websocket_reconnects_total{reason}`** (counter) — WebSocket reconnect attempts (e.g., `reason="dial_failed"`, `reason="remote_close"`). Spikes indicate flapping workers. * **`oz_worker_info{version,backend,worker_id}`** (gauge, constant `1`) — Build and runtime metadata. Useful for joining other series by labels. --- ## Sample PromQL queries * **Workers available:** ```promql sum(oz_worker_connected) ``` * **Workers active (running at least one task):** ```promql count(oz_worker_tasks_active > 0) ``` * **Fleet saturation:** ```promql sum(oz_worker_tasks_active) / sum(oz_worker_tasks_max_concurrent > 0) ``` This ratio is only meaningful when every worker has a non-zero `oz_worker_tasks_max_concurrent`. Workers configured with `0` (unlimited) are excluded from the denominator, which can make the saturation result look misleadingly high or undefined for fleets that mix bounded and unlimited workers. * **Task success rate (5-minute window):** ```promql sum(rate(oz_worker_tasks_completed_total{result="succeeded"}[5m])) / sum(rate(oz_worker_tasks_completed_total[5m])) ``` * **Task duration p95:** ```promql histogram_quantile(0.95, sum by (le) (rate(oz_worker_task_duration_seconds_bucket[5m]))) ``` * **Failure rate:** ```promql sum(rate(oz_worker_tasks_completed_total{result="failed"}[5m])) ``` * **Failure modes:** ```promql sum by (phase, reason) (rate(oz_worker_task_failures_total[5m])) ``` * **Reconnect storms (alert threshold):** ```promql sum(rate(oz_worker_websocket_reconnects_total[5m])) > 0.1 ``` --- ## Disabling metrics Set `OTEL_METRICS_EXPORTER=none` to disable metrics export: ```bash export OTEL_METRICS_EXPORTER=none oz-agent-worker --api-key "$WARP_API_KEY" --worker-id "my-worker" ``` The Helm chart sets the same override when metrics are disabled: ```yaml metrics: enabled: false ``` --- ## Related pages * [Self-hosting overview](/platform/self-hosting/) — Architecture, decision guide, and Enterprise requirements. * [Self-hosted worker reference](/platform/self-hosting/reference/) — CLI flags, config file schema, and metrics environment variables. * [Managed: Kubernetes](/platform/self-hosting/managed-kubernetes/) — Helm chart deployment, including metrics values. * [Troubleshooting](/platform/self-hosting/troubleshooting/) — Diagnostics for metrics issues and other common problems. * [Security and networking](/platform/self-hosting/security-and-networking/) — Network egress and data boundaries.Tell me about this feature: https://docs.warp.dev/platform/self-hosting/monitoring/Monitor self-hosted Automation Platform workers with OpenTelemetry metrics via Prometheus, OTLP, or console export.
The oz-agent-worker daemon exports OpenTelemetry metrics for worker health, task throughput, and capacity. Use these metrics with the cloud agent dashboard to monitor self-hosted compute and cloud runs.
Key features
Section titled “Key features”- Prometheus scrape — Expose a
/metricsendpoint for Prometheus to scrape, with optionalPodMonitorsupport for the Prometheus Operator. - OTLP push — Push metrics to any OpenTelemetry-compatible collector (Grafana Alloy, Datadog Agent, New Relic, etc.).
- Standard configuration — Select an exporter with OpenTelemetry environment variables.
- Pre-seeded series — Metric series appear at startup before any tasks run.
How it works
Section titled “How it works”The worker uses the OpenTelemetry autoexport package to select an exporter at runtime based on the OTEL_METRICS_EXPORTER environment variable. Supported values:
prometheus— Starts an in-process HTTP server serving/metrics.otlp— Pushes metrics over OTLP (HTTP/protobuf by default).console— Writes metrics to stdout (useful for debugging).none— Disables metrics export entirely.
When OTEL_METRICS_EXPORTER is unset, autoexport uses OTLP. Set it to none to disable metrics.
All metrics carry resource attributes (service.name=oz-agent-worker, service.version, worker.id, worker.backend) so each worker process shows up as a distinct series in your monitoring system.
Enable Prometheus scrape
Section titled “Enable Prometheus scrape”Set these environment variables before starting the worker to expose a Prometheus-compatible /metrics endpoint:
export OTEL_METRICS_EXPORTER=prometheusexport OTEL_EXPORTER_PROMETHEUS_HOST=0.0.0.0export OTEL_EXPORTER_PROMETHEUS_PORT=9464oz-agent-worker --api-key "$WARP_API_KEY" --worker-id "my-worker"Verify the endpoint is serving metrics:
curl -s localhost:9464/metrics | grep oz_worker_Expected outcome: You see oz_worker_connected, oz_worker_tasks_active, and other oz_worker_* metric families in the output.
Enable OTLP push
Section titled “Enable OTLP push”Set these environment variables to push metrics to an OpenTelemetry collector:
export OTEL_METRICS_EXPORTER=otlpexport OTEL_EXPORTER_OTLP_PROTOCOL=http/protobufexport OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector.observability.svc:4318oz-agent-worker --api-key "$WARP_API_KEY" --worker-id "my-worker"The worker pushes metrics at the SDK’s default interval. Configure the collector endpoint, protocol, and headers using standard OTLP exporter environment variables.
Helm chart configuration
Section titled “Helm chart configuration”The Helm chart includes built-in support for metrics. Enable metrics with metrics.enabled=true:
helm install oz-agent-worker ./charts/oz-agent-worker \ --namespace warp-oz \ --set worker.workerId=my-worker \ --set image.tag=VERSION \ --set metrics.enabled=trueWith metrics.enabled=true and the default metrics.exporter=prometheus, the chart adds:
- A
containerPort: metrics(default 9464) on the worker Deployment. - The
OTEL_METRICS_EXPORTER,OTEL_EXPORTER_PROMETHEUS_HOST, andOTEL_EXPORTER_PROMETHEUS_PORTenvironment variables. - A namespace-scoped
Servicenamed<release>-oz-agent-worker-metricswithprometheus.io/scrapeannotations. - Optionally, a
PodMonitor(metrics.podMonitor.create=true) for clusters using the Prometheus Operator.
Helm values
Section titled “Helm values”Core:
metrics.enabled— Enable metrics export. Defaults tofalse.metrics.exporter— Exporter type:prometheus(default),otlp,console, ornone.metrics.port— Port for the Prometheus exporter. Defaults to9464. Ignored forotlp/console.metrics.extraEnv— Extra environment variables for the worker container (e.g.,OTEL_EXPORTER_OTLP_ENDPOINT).
Service (Prometheus scrape):
metrics.service.create— Create a metricsService. Defaults totrue.metrics.service.type— Service type. Defaults toClusterIP.metrics.service.annotations— Annotations on the Service. Defaults includeprometheus.io/scrape: "true".
PodMonitor (Prometheus Operator):
metrics.podMonitor.create— Create aPodMonitor. Defaults tofalse(avoids requiringmonitoring.coreos.comCRDs).metrics.podMonitor.interval— Scrape interval. Defaults to30s.metrics.podMonitor.scrapeTimeout— Scrape timeout. Defaults to10s.metrics.podMonitor.additionalLabels— Extra labels on thePodMonitorresource.
OTLP push via Helm
Section titled “OTLP push via Helm”To push metrics to an OTLP collector instead of exposing a Prometheus endpoint, set metrics.exporter=otlp and forward the endpoint via metrics.extraEnv:
metrics: enabled: true exporter: otlp extraEnv: - name: OTEL_EXPORTER_OTLP_ENDPOINT value: http://otel-collector.observability.svc:4318Metric catalog
Section titled “Metric catalog”All metrics use the oz_worker_ prefix. Each worker process with metrics enabled emits a distinct set of series, identified by the resource attributes service.name, service.version, worker.id, and worker.backend.
oz_worker_connected(gauge) —1while the worker has an active WebSocket connection to the Automation Platform‘s backend,0otherwise.oz_worker_tasks_active(gauge / UpDownCounter) — Tasks currently executing on this worker.oz_worker_tasks_max_concurrent(gauge) — Configured concurrency limit (0means unlimited).oz_worker_tasks_claimed_total(counter) — Total tasks accepted since process start.oz_worker_tasks_rejected_total{reason}(counter) — Tasks the worker declined (e.g.,reason="at_capacity").oz_worker_tasks_completed_total{result}(counter) — Completed tasks labeledresult="succeeded",result="failed",result="cancelled", orresult="dispatched".oz_worker_task_duration_seconds{result}(histogram) — Wall-clock task duration on the worker, labeled by result.oz_worker_task_failures_total{phase,reason}(counter) — Task failures classified by execution phase and a bounded reason such asimage_pull,unschedulable,container_oom, orevicted.oz_worker_websocket_reconnects_total{reason}(counter) — WebSocket reconnect attempts (e.g.,reason="dial_failed",reason="remote_close"). Spikes indicate flapping workers.oz_worker_info{version,backend,worker_id}(gauge, constant1) — Build and runtime metadata. Useful for joining other series by labels.
Sample PromQL queries
Section titled “Sample PromQL queries”-
Workers available:
sum(oz_worker_connected) -
Workers active (running at least one task):
count(oz_worker_tasks_active > 0) -
Fleet saturation:
sum(oz_worker_tasks_active) / sum(oz_worker_tasks_max_concurrent > 0)This ratio is only meaningful when every worker has a non-zero
oz_worker_tasks_max_concurrent. Workers configured with0(unlimited) are excluded from the denominator, which can make the saturation result look misleadingly high or undefined for fleets that mix bounded and unlimited workers. -
Task success rate (5-minute window):
sum(rate(oz_worker_tasks_completed_total{result="succeeded"}[5m]))/ sum(rate(oz_worker_tasks_completed_total[5m])) -
Task duration p95:
histogram_quantile(0.95, sum by (le) (rate(oz_worker_task_duration_seconds_bucket[5m]))) -
Failure rate:
sum(rate(oz_worker_tasks_completed_total{result="failed"}[5m])) -
Failure modes:
sum by (phase, reason) (rate(oz_worker_task_failures_total[5m])) -
Reconnect storms (alert threshold):
sum(rate(oz_worker_websocket_reconnects_total[5m])) > 0.1
Disabling metrics
Section titled “Disabling metrics”Set OTEL_METRICS_EXPORTER=none to disable metrics export:
export OTEL_METRICS_EXPORTER=noneoz-agent-worker --api-key "$WARP_API_KEY" --worker-id "my-worker"The Helm chart sets the same override when metrics are disabled:
metrics: enabled: falseRelated pages
Section titled “Related pages”- Self-hosting overview — Architecture, decision guide, and Enterprise requirements.
- Self-hosted worker reference — CLI flags, config file schema, and metrics environment variables.
- Managed: Kubernetes — Helm chart deployment, including metrics values.
- Troubleshooting — Diagnostics for metrics issues and other common problems.
- Security and networking — Network egress and data boundaries.