[Config]: standardize quoting style in Kubernetes manifests (#4353)

.github/workflows/kubectl-plugin-release.yaml

@@ -18,14 +18,14 @@ jobs:
       - name: Setup Go
         uses: actions/setup-go@v5
         with:
-          go-version: '1.25'
+          go-version: "1.25"
       - name: GoReleaser
         uses: goreleaser/goreleaser-action@v6
         with:
-          distribution: 'goreleaser'
+          distribution: "goreleaser"
           version: latest
           args: release --clean
-          workdir: 'kubectl-plugin'
+          workdir: "kubectl-plugin"
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
       - name: Update new version in krew-index

apiserver/test/cluster/cluster_external_redis.yaml

@@ -10,7 +10,7 @@ metadata:
     # ray.io/external-storage-namespace: "my-raycluster-storage"
   name: raycluster-external-redis
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     # The `rayStartParams` are used to configure the `ray start` command.
     # See https://github.com/ray-project/kuberay/blob/master/docs/guidance/rayStartParams.md for the default settings of `rayStartParams` in KubeRay.

benchmark/perf-tests/100-raycluster/raycluster.yaml

@@ -5,10 +5,10 @@ metadata:
   labels:
     perf-test: ray-cluster
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     rayStartParams:
-      dashboard-host: '0.0.0.0'
+      dashboard-host: "0.0.0.0"
     template:
       spec:
         containers:

benchmark/perf-tests/100-rayjob/pytorch-mnist-rayjob.yaml

@@ -13,7 +13,7 @@ spec:
       CPUS_PER_WORKER: "1"
       OMP_NUM_THREADS: "1" # Set OMP_NUM_THREADS to avoid KeyErorr race condition.
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       template:
         spec:

benchmark/perf-tests/100-rayjob/ray-data-image-resize.yaml

@@ -8,7 +8,7 @@ spec:
   shutdownAfterJobFinishes: true
   entrypoint: python ray_data_image_resize.py
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       template:
         spec:

benchmark/perf-tests/1000-raycluster/raycluster.yaml

@@ -5,12 +5,12 @@ metadata:
   labels:
     perf-test: ray-cluster
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     serviceType: ClusterIP
     rayStartParams:
-      dashboard-host: '0.0.0.0'
-      disable-usage-stats: 'true'
+      dashboard-host: "0.0.0.0"
+      disable-usage-stats: "true"
     template:
       spec:
         containers:

benchmark/perf-tests/1000-rayjob/pytorch-mnist-rayjob.yaml

@@ -26,10 +26,10 @@ spec:
             requests:
               cpu: "10m"
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       rayStartParams:
-        disable-usage-stats: 'true'
+        disable-usage-stats: "true"
       template:
         spec:
           containers:

benchmark/perf-tests/1000-rayjob/ray-data-image-resize.yaml

@@ -26,10 +26,10 @@ spec:
             requests:
               cpu: "10m"
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       rayStartParams:
-        disable-usage-stats: 'true'
+        disable-usage-stats: "true"
       template:
         spec:
           containers:

benchmark/perf-tests/10000-raycluster/raycluster.yaml

@@ -5,12 +5,12 @@ metadata:
   labels:
     perf-test: ray-cluster
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     serviceType: ClusterIP
     rayStartParams:
-      dashboard-host: '0.0.0.0'
-      disable-usage-stats: 'true'
+      dashboard-host: "0.0.0.0"
+      disable-usage-stats: "true"
     template:
       spec:
         containers:

benchmark/perf-tests/10000-rayjob/pytorch-mnist-rayjob.yaml

@@ -26,10 +26,10 @@ spec:
             requests:
               cpu: "10m"
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       rayStartParams:
-        disable-usage-stats: 'true'
+        disable-usage-stats: "true"
       template:
         spec:
           containers:

benchmark/perf-tests/10000-rayjob/ray-data-image-resize.yaml

@@ -26,10 +26,10 @@ spec:
             requests:
               cpu: "10m"
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       rayStartParams:
-        disable-usage-stats: 'true'
+        disable-usage-stats: "true"
       template:
         spec:
           containers:

benchmark/perf-tests/5000-raycluster/raycluster.yaml

@@ -5,12 +5,12 @@ metadata:
   labels:
     perf-test: ray-cluster
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     serviceType: ClusterIP
     rayStartParams:
-      dashboard-host: '0.0.0.0'
-      disable-usage-stats: 'true'
+      dashboard-host: "0.0.0.0"
+      disable-usage-stats: "true"
     template:
       spec:
         containers:

benchmark/perf-tests/5000-rayjob/pytorch-mnist-rayjob.yaml

@@ -26,10 +26,10 @@ spec:
             requests:
               cpu: "10m"
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       rayStartParams:
-        disable-usage-stats: 'true'
+        disable-usage-stats: "true"
       template:
         spec:
           containers:

benchmark/perf-tests/5000-rayjob/ray-data-image-resize.yaml

@@ -26,10 +26,10 @@ spec:
             requests:
               cpu: "10m"
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       rayStartParams:
-        disable-usage-stats: 'true'
+        disable-usage-stats: "true"
       template:
         spec:
           containers:

kubectl-plugin/test/e2e/testdata/ray-job.interactive-mode-no-runtime-env.yaml

@@ -3,9 +3,9 @@ kind: RayJob
 metadata:
   name: rayjob-sample
 spec:
-  submissionMode: 'InteractiveMode'
+  submissionMode: "InteractiveMode"
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       template:
         spec:

kubectl-plugin/test/e2e/testdata/ray-job.interactive-mode.yaml

@@ -4,7 +4,7 @@ metadata:
   name: rayjob-sample
 spec:
   # The current value is "InteractiveMode", meaning that it will wait for user to submit job and provide the job submission ID
-  submissionMode: 'InteractiveMode'
+  submissionMode: "InteractiveMode"
   runtimeEnvYAML: |
     pip:
       - emoji==2.14.0
@@ -14,7 +14,7 @@ spec:
       another_env_var: "second_env_var"
 
   rayClusterSpec:
-    rayVersion: '2.52.0' # should match the Ray version in the image of the containers
+    rayVersion: "2.52.0" # should match the Ray version in the image of the containers
     headGroupSpec:
       template:
         spec:

ray-operator/config/samples/pytorch-mnist/ray-job.pytorch-mnist.yaml

@@ -16,7 +16,7 @@ spec:
 
   # rayClusterSpec specifies the RayCluster instance to be created by the RayJob controller.
   rayClusterSpec:
-    rayVersion: '2.52.0'
+    rayVersion: "2.52.0"
     headGroupSpec:
       rayStartParams: {}
       # Pod template

ray-operator/config/samples/pytorch-resnet-image-classifier/ray-job.pytorch-image-classifier.yaml

@@ -16,17 +16,17 @@ spec:
       - transformers>=4.19.1
     working_dir: "https://github.com/ray-project/kuberay/archive/master.zip"
   rayClusterSpec:
-    rayVersion: '2.46.0'
+    rayVersion: "2.46.0"
     headGroupSpec:
       rayStartParams:
-        dashboard-host: '0.0.0.0'
+        dashboard-host: "0.0.0.0"
       template:
         metadata:
           annotations:
             gke-gcsfuse/volumes: "true"
             gke-gcsfuse/cpu-limit: "0"
-            gke-gcsfuse/memory-limit: 5Gi
-            gke-gcsfuse/ephemeral-storage-limit: 10Gi
+            gke-gcsfuse/memory-limit: "5Gi"
+            gke-gcsfuse/ephemeral-storage-limit: "10Gi"
         spec:
           serviceAccountName: pytorch-distributed-training
           containers:
@@ -69,14 +69,14 @@ spec:
       maxReplicas: 4
       groupName: gpu-group
       rayStartParams:
-        dashboard-host: '0.0.0.0'
+        dashboard-host: "0.0.0.0"
       template:
         metadata:
           annotations:
             gke-gcsfuse/volumes: "true"
             gke-gcsfuse/cpu-limit: "0"
-            gke-gcsfuse/memory-limit: 5Gi
-            gke-gcsfuse/ephemeral-storage-limit: 10Gi
+            gke-gcsfuse/memory-limit: "5Gi"
+            gke-gcsfuse/ephemeral-storage-limit: "10Gi"
         spec:
           serviceAccountName: pytorch-distributed-training
           tolerations:

ray-operator/config/samples/pytorch-text-classifier/ray-job.pytorch-distributed-training.yaml

@@ -15,10 +15,10 @@ spec:
       - pytorch-lightning==1.8.5
     working_dir: "https://github.com/ray-project/kuberay/archive/master.zip"
   rayClusterSpec:
-    rayVersion: '2.46.0'
+    rayVersion: "2.46.0"
     headGroupSpec:
       rayStartParams:
-        dashboard-host: '0.0.0.0'
+        dashboard-host: "0.0.0.0"
       template:
         spec:
           tolerations:

ray-operator/config/samples/ray-cluster-resource-isolation-with-overrides.gke.yaml

@@ -3,7 +3,7 @@ kind: RayCluster
 metadata:
   name: raycluster-resource-isolation
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     rayStartParams:
       enable-resource-isolation: "true" # Set --enable-resource-isolation flag in `ray start`

ray-operator/config/samples/ray-cluster-resource-isolation.gke.yaml

@@ -3,7 +3,7 @@ kind: RayCluster
 metadata:
   name: raycluster-resource-isolation
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     rayStartParams:
       enable-resource-isolation: "true" # Set --enable-resource-isolation flag in `ray start`

ray-operator/config/samples/ray-cluster.auth.yaml

@@ -6,7 +6,7 @@ spec:
   enableInTreeAutoscaling: true
   authOptions:
     mode: token
-  rayVersion: '2.53.0'
+  rayVersion: "2.53.0"
   headGroupSpec:
     rayStartParams: {}
     template:

ray-operator/config/samples/ray-cluster.autoscaler-v2.yaml

@@ -5,7 +5,7 @@ metadata:
 spec:
   # The version of Ray you are using. Make sure all Ray containers are running this version of Ray.
   # Use the Ray nightly or Ray version >= 2.10.0 and KubeRay 1.1.0 or later for autoscaler v2.
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   enableInTreeAutoscaling: true
   autoscalerOptions:
     version: v2

ray-operator/config/samples/ray-cluster.autoscaler.yaml

@@ -4,7 +4,7 @@ metadata:
   name: raycluster-autoscaler
 spec:
   # The version of Ray you are using. Make sure all Ray containers are running this version of Ray.
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   # If `enableInTreeAutoscaling` is true, the Autoscaler sidecar will be added to the Ray head pod.
   # Ray Autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0.
   enableInTreeAutoscaling: true

ray-operator/config/samples/ray-cluster.complete.yaml

@@ -7,7 +7,7 @@ kind: RayCluster
 metadata:
   name: raycluster-complete
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   # Ray head pod configuration
   headGroupSpec:
     # Kubernetes Service Type. This is an optional field, and the default value is ClusterIP.
@@ -17,7 +17,7 @@ spec:
     # See https://github.com/ray-project/kuberay/blob/master/docs/guidance/rayStartParams.md for the default settings of `rayStartParams` in KubeRay.
     # See https://docs.ray.io/en/latest/cluster/cli.html#ray-start for all available options in `rayStartParams`.
     rayStartParams:
-      dashboard-host: '0.0.0.0'
+      dashboard-host: "0.0.0.0"
     # pod template
     template:
       metadata:

ray-operator/config/samples/ray-cluster.custom-head-service.yaml

@@ -8,12 +8,12 @@ kind: RayCluster
 metadata:
   name: custom-head-svc
 spec:
-  rayVersion: '2.52.0' # should match the Ray version in the image of the containers
+  rayVersion: "2.52.0" # should match the Ray version in the image of the containers
   # Ray head pod template
   headGroupSpec:
     # the following params are used to complete the ray start: ray start --head --block --redis-port=6379 ...
     rayStartParams:
-      num-cpus: '1' # can be auto-completed from the limits
+      num-cpus: "1" # can be auto-completed from the limits
     headService:
       metadata:
         name: custom-ray-head-service-name

ray-operator/config/samples/ray-cluster.deprecate-gcs-ft.yaml

@@ -10,7 +10,7 @@ metadata:
     # ray.io/external-storage-namespace: "my-raycluster-storage"
   name: raycluster-external-redis
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     # The `rayStartParams` are used to configure the `ray start` command.
     # See https://github.com/ray-project/kuberay/blob/master/docs/guidance/rayStartParams.md for the default settings of `rayStartParams` in KubeRay.

ray-operator/config/samples/ray-cluster.external-redis-uri.yaml

@@ -3,7 +3,7 @@ kind: RayCluster
 metadata:
   name: raycluster-external-redis-uri
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   gcsFaultToleranceOptions:
     # In most cases, you don't need to set `externalStorageNamespace` because KubeRay will
     # automatically set it to the UID of RayCluster. Only modify this annotation if you fully understand

ray-operator/config/samples/ray-cluster.external-redis.yaml

@@ -3,7 +3,7 @@ kind: RayCluster
 metadata:
   name: raycluster-external-redis
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   gcsFaultToleranceOptions:
     # In most cases, you don't need to set `externalStorageNamespace` because KubeRay will
     # automatically set it to the UID of RayCluster. Only modify this annotation if you fully understand

ray-operator/config/samples/ray-cluster.fluentbit.yaml

@@ -4,7 +4,7 @@ kind: RayCluster
 metadata:
   name: raycluster-fluentbit-sidecar-logs
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     rayStartParams: {}
     template:

ray-operator/config/samples/ray-cluster.gke-bucket.yaml

@@ -3,7 +3,7 @@ kind: RayCluster
 metadata:
   name: raycluster-mini
 spec:
-  rayVersion: '2.52.0'
+  rayVersion: "2.52.0"
   headGroupSpec:
     rayStartParams: {}
     template: