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Copy file name to clipboardExpand all lines: config/charts/inferencepool/README.md
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@@ -133,7 +133,9 @@ inferenceExtension:
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**Note:** Prometheus monitoring requires the Prometheus Operator and ServiceMonitor CRD to be installed in the cluster.
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For GKE environments, monitoring is automatically configured when `provider.name` is set to `gke`.
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For GKE environments, monitoring is enabled by setting `provider.name` to `gke` and `inferenceExtension.monitoring.gke.enabled` to `true`. This will create the necessary `PodMonitoring` and RBAC resources for metrics collection.
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If you are using a GKE Autopilot cluster, you also need to set `provider.gke.autopilot` to `true`.
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Then apply it with:
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@@ -174,8 +176,10 @@ The following table list the configurable parameters of the chart.
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| `inferenceExtension.monitoring.interval` | Metrics scraping interval for monitoring. Defaults to `10s`. |
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| `inferenceExtension.monitoring.secret.name` | Name of the service account token secret for metrics authentication. Defaults to `inference-gateway-sa-metrics-reader-secret`. |
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| `inferenceExtension.monitoring.prometheus.enabled` | Enable Prometheus ServiceMonitor creation for EPP metrics collection. Defaults to `false`. |
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| `inferenceExtension.monitoring.gke.enabled` | Enable GKE monitoring resources (`PodMonitoring` and RBAC). Defaults to `false`. |
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| `inferenceExtension.pluginsCustomConfig` | Custom config that is passed to EPP as inline yaml. |
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| `provider.name` | Name of the Inference Gateway implementation being used. Possible values: `gke`. Defaults to `none`. |
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| `provider.gke.autopilot` | Set to `true` if the cluster is a GKE Autopilot cluster. This is only used if `provider.name` is `gke`. Defaults to `false`. |
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