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+## TensorBoard
+
+KubeDL can attach a tensorboard to a running tensorflow job.
+Users can visualize the tensorflow job with the tensorboard.
+
+To use tensorboard, users must ensure that the tensorflow job logs are created and stored in a kubernetes remote volume (emptyDir, hostPath and local volume are not supported) and the tensorboard pod can mount the volume.
+
+Users can set the tensorboard config in the job's annotation with key `kubedl.io/tensorboard-config` as below.
+After that, users can access the tensorboard through this URL `http://<ingress host>/<ingress pathPrefix>/<job namespace>/<job name>`.
+
+For example:
+```yaml
+    apiVersion: "kubeflow.org/v1"
+    kind: "TFJob"
+    metadata:
+      name: "mnist"
+      namespace: kubedl
+      annotations:
+ +      kubedl.io/tensorboard-config: '{"logDir":"/var/log/training","ttlSecondsAfterJobFinished":3600,"ingressSpec":{"host":"locahost","pathPrefix":"/tb"}}'
+    spec:
+      cleanPodPolicy: None
+      tfReplicaSpecs:
+        ...
+```
+
+A full list of supported options are:
+
+```json
+{
+    "logDir": "xxx",            // the path of the tensorflow job logs (required).
+    "ttlSecondsAfterJobFinished": 3600,     // the TTL to clean up the tensorboard after the job is finished (required).
+    "image": "xxx",             // the image of the tensorboard, default value is the job's image (optional).
+    "ingressSpec": {            // the ingress of the tensorboard (required).
+        "host": "xxx",          // the ingress host (required).
+        "pathPrefix": "xxx",    // the pathPrefix will be set to the ingress path with the pattern: <pathPrefix>/<job namespace>/<job name> (required).
+        "annotations": {        // the annotations of the ingress (optional).
+            "xxx": "xxx"
+        }
+    }
+}
+```
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