diff --git a/charts/spark-operator/CUSTOM-README.md b/charts/spark-operator/CUSTOM-README.md
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+
+# Spark Operator 배포 배포
+
+## 1. 배포 방법
+
+- 명령어
+
+  ``` sh
+  $ helm upgrade --instal spark-operator ../spark-operator \
+    --version=2.0.2 \
+    --namespace spark-operator \
+    --create-namespace \
+    -f custom-values.yaml
+  ```
+
+
+
+## 2. custom-values.yaml 설명
+
+- custom-values.yaml에 정의된 값에 대한 설명이다.
+
+### 1) 이미지 설정
+| Name                   | 설명                                                         | 기본값 |
+| ---------------------- | ------------------------------------------------------------ | ------ |
+| `image.registry` | 오프라인 설치 시에 설정. <br/>paasup 설치시에는 "paasup.io"으로 설정 | `""`   |
+
+### 2) Controller 설정
+
+| Name                     | 설명                               | 기본값    |
+| ------------------------ | ---------------------------------- | --------- |
+| `contoller.worker` | spark contoller의 thread 설정<br />SparkApplication 객체를 동시에 처리할 수 있는 수 설정 | `10` |
+| `contoller.logLevel` | controller의 log level 설정 | `info` |
+| `controller.uiService.enable` | Spark Web UI의 Service 생성 여부 | `true` |
+| `controller.uiIngress.enable` | Spark Web UI의 Ingress 생성 여부                             | `true` |
+| `controller.uiIngress.urlFormat` | 생성할 Ingress의 접속 URL 포맷 설정                          | `"spark.example.org/{{$appNamespace}}/{{$appName}}"` |
+| `controller.resources` | controller pod의 resource 설정. | `custom-values.yaml 참조` |
+
+### 3) webhook 설정
+
+| Name                     | 설명                               | 기본값    |
+| ------------------------ | ---------------------------------- | --------- |
+| `webhook.resources`    | webhook pod의 resource 설정.       | `custom-values.yaml 참조`  |
+
+
+### 4) spark 설정
+
+| Name                     | 설명                               | 기본값    |
+| ------------------------ | ---------------------------------- | --------- |
+| `spark.jobNamespace`    | spark application이 배포될 수 있는 namespace를 설정.    | `[]`  |
diff --git a/charts/spark-operator/custom-values.yaml b/charts/spark-operator/custom-values.yaml
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+image:
+  registry: docker.io
+  repository: kubeflow/spark-operator
+  # version 목록
+  ## spark : 3.5.2
+  ## java : 11
+  ## python : 3.8.10
+  tag: "2.0.2"
+  
+
+controller:
+  # spark contoller의 thread 설정
+  # SparkApplication 객체를 동시에 처리할 수 있는 수
+  workers: 10
+  
+  # controller log level 설정
+  logLevel: info
+  
+  # spark application 실행 시 접근 가능한 UI Ingress 활성화
+  ## spark 동작 중에만 접근 가능한 UI
+  uiService:
+    enable: true
+  uiIngress:
+    enable: true
+    urlFormat: "spark.example.org/{{$appNamespace}}/{{$appName}}"
+
+  # controller resource 설정
+  resources:
+    limits:
+      cpu: 100m
+      memory: 300Mi
+    requests:
+      cpu: 100m
+      memory: 300Mi
+
+
+  # Workqueue rate limiter configuration forwarded to the controller-runtime Reconciler.
+  workqueueRateLimiter:
+    # -- Specifies the average rate of items process by the workqueue rate limiter.
+    bucketQPS: 50
+    # -- Specifies the maximum number of items that can be in the workqueue at any given time.
+    bucketSize: 500
+    maxDelay:
+      # -- Specifies whether to enable max delay for the workqueue rate limiter.
+      # This is useful to avoid losing events when the workqueue is full.
+      enable: true
+      # -- Specifies the maximum delay duration for the workqueue rate limiter.
+      duration: 6h
+
+webhook:
+  resources:
+    limits:
+      cpu: 100m
+      memory: 300Mi
+    requests:
+      cpu: 100m
+      memory: 300Mi
+
+spark:
+  jobNamespaces: []
+
+# prometheus:
+#   metrics:
+#     enable: false
+#   podMonitor:
+#     create: false
+#     labels: {}
+    
+