# Observability Spice.ai Enterprise exposes a comprehensive set of metrics, structured logs, and OpenTelemetry traces. This page documents how to wire each into a production observability stack and which signals to alert on. ## Metrics The runtime exposes Prometheus metrics on port `9090` at `/metrics`. The Helm chart and the Kubernetes operator both ship with first-class scrape integration: * **Helm chart**: set `monitoring.podMonitor.enabled: true` to deploy a `PodMonitor`. * **Operator**: set `servicemonitor.enabled: true` to deploy a `ServiceMonitor` for the operator itself. ```yaml # values.yaml (Spice Helm chart) monitoring: podMonitor: enabled: true additionalLabels: release: prometheus ``` ### Key metrics | Metric | Type | Meaning | | ---------------------------------------------- | --------- | ------------------------------------------------------------------------------------ | | `spiced_query_duration_seconds` | Histogram | End-to-end query latency. | | `spiced_query_total{result="error"}` | Counter | Failed queries. Drives the [error rate alert](#alerts). | | `spiced_acceleration_refresh_duration_seconds` | Histogram | Per-dataset acceleration refresh latency. | | `spiced_acceleration_refresh_total{result}` | Counter | Refresh successes and failures per dataset. | | `spiced_acceleration_rows` | Gauge | Row count per accelerated dataset. | | `spiced_http_request_duration_seconds` | Histogram | HTTP API latency by route. | | `spiced_flight_request_duration_seconds` | Histogram | Arrow Flight RPC latency. | | `spiced_cluster_executor_count` | Gauge | (`SpicepodCluster`) Number of executors registered with the scheduler. | | `spiced_cluster_certificate_expiry_seconds` | Gauge | (`SpicepodCluster`) Time-to-expiry for the per-node leaf certificate. | | `spiceai_operator_reconcile_duration_seconds` | Histogram | Operator reconcile loop latency. | | `spiceai_operator_pod_dead_total` | Counter | Dead pod observations. Triggers crashloop pause when above the configured threshold. | For the full list, query the running runtime: `curl localhost:9090/metrics | grep -E '^# HELP'`. ## Grafana dashboard Spice.ai publishes a maintained Grafana dashboard with the panels operations teams need most often (query rate / latency / errors, acceleration freshness and row counts, executor registration, certificate expiry). Import via dashboard ID or copy the JSON from the [Spice.ai Grafana dashboard](https://spiceai.org/docs/monitoring/grafana). The dashboard is compatible with Prometheus, Amazon Managed Prometheus, Azure Managed Prometheus, and Google Cloud Managed Service for Prometheus. ## Logs Spice emits structured JSON logs on stdout. The log level is controlled by `SPICED_LOG`: | Level | Use | | ------- | ------------------------------------------------------------------ | | `ERROR` | Production default. | | `WARN` | Production with elevated visibility. | | `INFO` | Default during cutover and incident investigation. | | `DEBUG` | Development and targeted debugging only \u2014 not for production. | ```yaml spec: env: - name: SPICED_LOG value: INFO ``` ### Log routing | Destination | Recommended forwarder | | ------------------------ | ------------------------------------------------------------------------------------------------------------- | | **CloudWatch Logs** | Fluent Bit DaemonSet with the `cloudwatch_logs` output plugin. | | **Azure Monitor** | [Container insights](https://learn.microsoft.com/azure/azure-monitor/containers/container-insights-overview). | | **Google Cloud Logging** | The GKE-managed logging agent (default on Autopilot / Standard). | | **Datadog** | Datadog Agent with the Kubernetes integration enabled. | | **Elastic / OpenSearch** | Filebeat or Fluent Bit with the `elasticsearch` / `opensearch` output. | | **Loki** | [Grafana Alloy](https://grafana.com/docs/alloy/) or Promtail. | Always retain query-error and acceleration-refresh-failure log lines for at least 30 days for incident review. ## Distributed tracing When the runtime is started with `--otel-endpoint` or the `SPICED_OTEL_ENDPOINT` environment variable, Spice exports OpenTelemetry traces over OTLP/gRPC. Traces cover query parsing, optimization, and execution; for `SpicepodCluster`, scheduler-to-executor RPCs are linked into a single trace. ```yaml spec: env: - name: SPICED_OTEL_ENDPOINT value: http://otel-collector.observability:4317 - name: SPICED_OTEL_RESOURCE_ATTRIBUTES value: service.name=spiceai,deployment.environment=prod ``` Pair with an OpenTelemetry Collector configured for the organization's tracing backend (Tempo, Jaeger, Datadog, Honeycomb, X-Ray). ## Alerts The following alerts are the minimum recommended set for production. Tune thresholds against the deployment's observed baseline. ```yaml groups: - name: spiceai interval: 30s rules: - alert: SpiceAIQueryErrorRateHigh expr: | sum(rate(spiced_query_total{result="error"}[5m])) / sum(rate(spiced_query_total[5m])) > 0.05 for: 10m labels: severity: warning annotations: summary: "Query error rate above 5% for 10 minutes." - alert: SpiceAIAccelerationRefreshFailing expr: | increase(spiced_acceleration_refresh_total{result="error"}[15m]) > 3 for: 15m labels: severity: warning annotations: summary: "Acceleration refresh failing for {{ $labels.dataset }}." - alert: SpiceAIQueryLatencyP95 expr: | histogram_quantile(0.95, sum by (le) ( rate(spiced_query_duration_seconds_bucket[5m]) )) > 2 for: 10m labels: severity: warning annotations: summary: "p95 query latency above 2s." - alert: SpiceAIExecutorMissing expr: | spiced_cluster_executor_count < 2 for: 5m labels: severity: critical annotations: summary: "{{ $labels.cluster }} has fewer than 2 executors registered." - alert: SpiceAICertificateExpiringSoon expr: | spiced_cluster_certificate_expiry_seconds < 7 * 24 * 3600 for: 10m labels: severity: warning annotations: summary: "Cluster certificate expires in less than 7 days." - alert: SpiceAICrashLoop expr: | increase(spiceai_operator_pod_dead_total[15m]) > 5 for: 15m labels: severity: critical annotations: summary: "{{ $labels.spicepodset }} crashlooping \u2014 operator may pause it." ``` ## Health endpoints | Endpoint | Purpose | | --------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `GET /health` | Liveness. Returns `200 OK` when the process is responsive. Use for container liveness probes. | | `GET /v1/ready` | Readiness. Returns `200 OK` only once datasets and accelerations have completed initial load. Use for container readiness probes and load balancer health checks. | | `GET /metrics` | Prometheus metrics on port `9090`. Should never be exposed externally. | The Spice Helm chart and the operator configure liveness and readiness probes against these endpoints by default. Tune the probe parameters on heavy initial-load workloads via [`probes`](/docs/enterprise/kubernetes-operator/spicepodset.md): ```yaml spec: probes: readiness: initialDelaySeconds: 30 periodSeconds: 10 failureThreshold: 6 liveness: initialDelaySeconds: 60 periodSeconds: 30 failureThreshold: 5 ``` --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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