diff --git a/docs/modelserving/observability/prometheus_metrics.md b/docs/modelserving/observability/prometheus_metrics.md
index 748d5f784..ed5a87003 100644
--- a/docs/modelserving/observability/prometheus_metrics.md
+++ b/docs/modelserving/observability/prometheus_metrics.md
@@ -31,6 +31,8 @@ spec:
       storageUri: "gs://seldon-models/sklearn/iris"
 ```
 
+The default values for `serving.kserve.io/enable-prometheus-scraping` can be set in the `inferenceservice-config` configmap. See [the docs](https://github.com/kserve/kserve/blob/master/qpext/README.md#configs) for more info.
+
 There is not currently a unified set of metrics exported by the model servers. Each model server may implement its own set of metrics to export. 
 
 ## Metrics for lgbserver, paddleserver, pmmlserver, sklearnserver, xgbserver, custom transformer/predictor
diff --git a/docs/modelserving/v1beta1/serving_runtime.md b/docs/modelserving/v1beta1/serving_runtime.md
index 95653fd8c..220cba3b8 100644
--- a/docs/modelserving/v1beta1/serving_runtime.md
+++ b/docs/modelserving/v1beta1/serving_runtime.md
@@ -24,7 +24,7 @@ After models are deployed with InferenceService, you get all the following serve
 
 ---
 
-The table below identifies each of the model serving runtimes supported by KServe. The HTTP and gRPC columns indicate the prediction protocol version that the serving runtime supports. The KServe prediction protocol is noted as either "v1" or "v2". Some serving runtimes also support their own prediction protocol, these are noted with an `*`. The default serving runtime version column defines the source and version of the serving runtime - MLServer, KServe or its own. These versions can also be found in the [runtime kustomization YAML](https://github.com/alexagriffith/kserve/blob/master/config/runtimes/kustomization.yaml). All KServe native model serving runtimes use the current KServe release version (v0.10). The supported framework version column lists the **major** version of the model that is supported. These can also be found in the respective [runtime YAML](https://github.com/alexagriffith/kserve/tree/master/config/runtimes) under the `supportedModelFormats` field. For model frameworks using the KServe serving runtime, the specific default version can be found in [kserve/python](https://github.com/alexagriffith/kserve/tree/master/python). In a given serving runtime directory the setup.py file contains the exact model framework version used. For example, in [kserve/python/lgbserver](https://github.com/alexagriffith/kserve/tree/master/python/lgbserver) the [setup.py](https://github.com/alexagriffith/kserve/blob/master/python/lgbserver/setup.py) file sets the model framework version to 3.3.2, `lightgbm == 3.3.2`.
+The table below identifies each of the model serving runtimes supported by KServe. The HTTP and gRPC columns indicate the prediction protocol version that the serving runtime supports. The KServe prediction protocol is noted as either "v1" or "v2". Some serving runtimes also support their own prediction protocol, these are noted with an `*`. The default serving runtime version column defines the source and version of the serving runtime - MLServer, KServe or its own. These versions can also be found in the [runtime kustomization YAML](https://github.com/kserve/kserve/blob/master/config/runtimes/kustomization.yaml). All KServe native model serving runtimes use the current KServe release version (v0.10). The supported framework version column lists the **major** version of the model that is supported. These can also be found in the respective [runtime YAML](https://github.com/kserve/kserve/tree/master/config/runtimes) under the `supportedModelFormats` field. For model frameworks using the KServe serving runtime, the specific default version can be found in [kserve/python](https://github.com/kserve/kserve/tree/master/python). In a given serving runtime directory the setup.py file contains the exact model framework version used. For example, in [kserve/python/lgbserver](https://github.com/kserve/kserve/tree/master/python/lgbserver) the [setup.py](https://github.com/kserve/kserve/blob/master/python/lgbserver/setup.py) file sets the model framework version to 3.3.2, `lightgbm == 3.3.2`.
 
 | Model Serving Runtime  | Exported model | HTTP | gRPC  | Default Serving Runtime Version | Supported Framework (Major) Version(s) | Examples                             |
 | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- |--------------------------------------|