diff --git a/content/en/docs/components/trainer/legacy-v1/user-guides/managedby.md b/content/en/docs/components/trainer/legacy-v1/user-guides/managedby.md
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+title = "How to manage Jobs in multi-cluster environment"
+Desciption = "Using managedBy feild for MultiKueue"
+weight = 10
++++
+
+## Overview
+
+This documentation details the usage of the `MultiKueue` feature within the Kueue project, specifically for Kubeflow MPI Jobs. The `MultiKueue` capability allows for efficient management and scheduling of multiple queues, optimizing resource allocation and improving the overall efficiency of MPI Jobs.
+The `spec.runPolicy.managedBy` field is a new feature introduced for MultiKueue support in the Kubeflow Training Operator. This field allows for more robust management of multi-cluster job dispatching by specifying the managing entity.
+
+## Prerequisites
+
+1. Ensure that you have the version upto 1.9 of the Kubeflow Training Operator installed and version 0.11+ for kueue.
+2. Make sure Kueue is compiled against the new operator to leverage the `spec.runPolicy.managedBy` field.
+
+## Usage
+
+To use the `spec.runPolicy.managedBy` field in your training jobs, include it in the job specification as shown below:
+
+```yaml
+apiVersion: "kubeflow.org/v1"
+kind: "TFJob"
+metadata:
+ name: "example-tfjob"
+spec:
+ runPolicy:
+  managedBy: "kueue.x-k8s.io/multikueue"
+  tfReplicaSpecs:
+    ...
+```
+
+Example
+
+Here is a complete example of a TensorFlow job using the spec.managedBy field:
+
+```YAML
+apiVersion: "kubeflow.org/v1"
+kind: "TFJob"
+metadata:
+ name: "example-tfjob"
+spec:
+ runPolicy:
+  managedBy: "kueue.x-k8s.io/multikueue"
+  tfReplicaSpecs:
+    Chief:
+      replicas: 1
+      template:
+        spec:
+          containers:
+            - name: tensorflow
+              image: tensorflow/tensorflow:latest
+              args: ["python", "model.py"]
+    Worker:
+      replicas: 2
+      template:
+        spec:
+          containers:
+            - name: tensorflow
+              image: tensorflow/tensorflow:latest
+              args: ["python", "model.py"]
+```
+
+## More Details
+
+For more details on setting up and using MultiKueue with the Kubeflow Training Operator, refer to the following documentation pages:
+
+- [Kueue/Kubeflow](https://kueue.sigs.k8s.io/docs/tasks/run/multikueue/kubeflow/)
+- [kueue Docs]{https://kueue.sigs.k8s.io/docs/concepts/multikueue/}
diff --git a/content/en/docs/components/trainer/legacy-v1/user-guides/tensorflow.md b/content/en/docs/components/trainer/legacy-v1/user-guides/tensorflow.md
index 0d2fb5266..6cefb5856 100644
--- a/content/en/docs/components/trainer/legacy-v1/user-guides/tensorflow.md
+++ b/content/en/docs/components/trainer/legacy-v1/user-guides/tensorflow.md
@@ -1,7 +1,7 @@
 +++
 title = "TensorFlow Training (TFJob)"
 description = "Using TFJob to train a model with TensorFlow"
-weight = 10
+weight = 20
 +++
 
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