Training: Add documentation for the MultiKueue and spec.managedBy API

content/en/docs/components/training/user-guides/managedby.md

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+title = "spec.managedBy"
+Desciption = "Using managedBy feild for MultiKueue"
+weight = 60
++++
+
+## Overview
+
+The `spec.managedBy` field is a new feature introduced for MultiQueue 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 latest version of the Kubeflow Training Operator installed.
+2. Make sure Kueue is compiled against the new operator to leverage the `spec.managedBy` field.
+
+## Usage
+
+To use the `spec.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:
+ managedBy: "kueue"
+ 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:
+ managedBy: "kueue"
+ 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"]
+```
+
+## Cross-References
+
+For more details on setting up and using MultiQueue with the Kubeflow Training Operator, refer to the following documentation pages:
+
+- [Kueue/Kubeflow](https://kueue.sigs.k8s.io/docs/tasks/run/multikueue/kubeflow/)