class_docstr: A memory backend which transfers the experiences from the rollout to the training worker using Redis Pub/Sub in
  Coach when distributed mode is used.
docstr: Deploy the Redis Pub/Sub service in Kubernetes orchestrator.
docstr_tok: ["Deploy","the","Redis","Pub\/Sub","service","in","Kubernetes","orchestrator","."]
code: def deploy_kubernetes(self):
      """
      Deploy the Redis Pub/Sub service in Kubernetes orchestrator.
      """
      if "namespace" not in self.params.orchestrator_params:
          self.params.orchestrator_params["namespace"] = "default"
      from kubernetes import client, config
  
      container = client.V1Container(
          name=self.redis_server_name,
          image="redis:4-alpine",
          resources=client.V1ResourceRequirements(
              limits={
                  "cpu": "8",
                  "memory": "4Gi"
                  # "nvidia.com/gpu": "0",
              }
          ),
      )
      template = client.V1PodTemplateSpec(
          metadata=client.V1ObjectMeta(
              labels={"app": self.redis_server_name}
          ),
          spec=client.V1PodSpec(containers=[container]),
      )
      deployment_spec = client.V1DeploymentSpec(
          replicas=1,
          template=template,
          selector=client.V1LabelSelector(
              match_labels={"app": self.redis_server_name}
          ),
      )
  
      deployment = client.V1Deployment(
          api_version="apps/v1",
          kind="Deployment",
          metadata=client.V1ObjectMeta(
              name=self.redis_server_name,
              labels={"app": self.redis_server_name},
          ),
          spec=deployment_spec,
      )
  
      config.load_kube_config()
      api_client = client.AppsV1Api()
      try:
          screen.print(self.params.orchestrator_params)
          api_client.create_namespaced_deployment(
              self.params.orchestrator_params["namespace"], deployment
          )
      except client.rest.ApiException as e:
          screen.print(
              "Got exception: %s\n while creating redis-server", e
          )
          return False
  
      core_v1_api = client.CoreV1Api()
  
      service = client.V1Service(
          api_version="v1",
          kind="Service",
          metadata=client.V1ObjectMeta(name=self.redis_service_name),
          spec=client.V1ServiceSpec(
              selector={"app": self.redis_server_name},
              ports=[
                  client.V1ServicePort(
                      protocol="TCP", port=6379, target_port=6379
                  )
              ],
          ),
      )
  
      try:
          core_v1_api.create_namespaced_service(
              self.params.orchestrator_params["namespace"], service
          )
          self.params.redis_address = "{}.{}.svc".format(
              self.redis_service_name,
              self.params.orchestrator_params["namespace"],
          )
          self.params.redis_port = 6379
          return True
      except client.rest.ApiException as e:
          screen.print(
              "Got exception: %s\n while creating a service for redis-server",
              e,
          )
          return False
  
imports: import redis
  import pickle
  import uuid
  import time
  from rl_coach.memories.backend.memory import MemoryBackend, MemoryBackendParameters
  from rl_coach.core_types import Transition, Episode, EnvironmentSteps, EnvironmentEpisodes
  from rl_coach.logger import screen
label_desc: Use image node_id 4 for calling the RedisPubSubBackend obj's underlying member method code with example usage: obj.deploy_kubernetes() and returns: True, False, False