Install on Kubernetes

How to install Redis Insight on Kubernetes

This tutorial shows how to install Redis Insight on Kubernetes (K8s). This is an easy way to use Redis Insight with a Redis Enterprise K8s deployment.

Create the Redis Insight deployment and service

Below is an annotated YAML file that will create a Redis Insight deployment and a service in a K8s cluster.

  1. Create a new file named redisinsight.yaml with the content below.
# Redis Insight service with name 'redisinsight-service'
apiVersion: v1
kind: Service
metadata:
  name: redisinsight-service       # name should not be 'redisinsight'
                                   # since the service creates
                                   # environment variables that
                                   # conflicts with redisinsight
                                   # application's environment
                                   # variables `RI_APP_HOST` and
                                   # `RI_APP_PORT`
spec:
  type: LoadBalancer
  ports:
    - port: 80
      targetPort: 5540
  selector:
    app: redisinsight
---
# Redis Insight deployment with name 'redisinsight'
apiVersion: apps/v1
kind: Deployment
metadata:
  name: redisinsight #deployment name
  labels:
    app: redisinsight #deployment label
spec:
  replicas: 1 #a single replica pod
  selector:
    matchLabels:
      app: redisinsight #which pods is the deployment managing, as defined by the pod template
  template: #pod template
    metadata:
      labels:
        app: redisinsight #label for pod/s
    spec:
      containers:

      - name:  redisinsight #Container name (DNS_LABEL, unique)
        image: redis/redisinsight:latest #repo/image
        imagePullPolicy: IfNotPresent #Installs the latest Redis Insight version
        volumeMounts:
        - name: redisinsight #Pod volumes to mount into the container's filesystem. Cannot be updated.
          mountPath: /data
        ports:
        - containerPort: 5540 #exposed container port and protocol
          protocol: TCP
      volumes:
      - name: redisinsight
        emptyDir: {} # node-ephemeral volume https://kubernetes.io/docs/concepts/storage/volumes/#emptydir
  1. Create the Redis Insight deployment and service:
kubectl apply -f redisinsight.yaml
  1. Once the deployment and service are successfully applied and complete, access Redis Insight. This can be accomplished by using the <external-ip> of the service we created to reach Redis Insight.
$ kubectl get svc redisinsight-service
NAME                   CLUSTER-IP       EXTERNAL-IP      PORT(S)         AGE
redisinsight-service   <cluster-ip>     <external-ip>    80:32143/TCP    1m
  1. If you are using minikube, run minikube list to list the service and access Redis Insight at http://<minikube-ip>:<minikube-service-port>.
$ minikube list
|-------------|----------------------|--------------|---------------------------------------------|
|  NAMESPACE  |         NAME         | TARGET PORT  |           URL                               |
|-------------|----------------------|--------------|---------------------------------------------|
| default     | kubernetes           | No node port |                                             |
| default     | redisinsight-service |           80 | http://<minikube-ip>:<minikubeservice-port> |
| kube-system | kube-dns             | No node port |                                             |
|-------------|----------------------|--------------|---------------------------------------------|

Create the Redis Insight deployment with persistant storage

Below is an annotated YAML file that will create a Redis Insight deployment in a K8s cluster. It will assign a peristent volume created from a volume claim template. Write access to the container is configured in an init container. When using deployments with persistent writeable volumes, it's best to set the strategy to Recreate. Otherwise you may find yourself with two pods trying to use the same volume.

  1. Create a new file redisinsight.yaml with the content below.
# Redis Insight service with name 'redisinsight-service'
apiVersion: v1
kind: Service
metadata:
  name: redisinsight-service       # name should not be 'redisinsight'
                                   # since the service creates
                                   # environment variables that
                                   # conflicts with redisinsight
                                   # application's environment
                                   # variables `RI_APP_HOST` and
                                   # `RI_APP_PORT`
spec:
  type: LoadBalancer
  ports:
    - port: 80
      targetPort: 5540
  selector:
    app: redisinsight
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: redisinsight-pv-claim
  labels:
    app: redisinsight
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 2Gi
  storageClassName: default
---
# Redis Insight deployment with name 'redisinsight'
apiVersion: apps/v1
kind: Deployment
metadata:
  name: redisinsight #deployment name
  labels:
    app: redisinsight #deployment label
spec:
  replicas: 1 #a single replica pod
  strategy:
    type: Recreate
  selector:
    matchLabels:
      app: redisinsight #which pods is the deployment managing, as defined by the pod template
  template: #pod template
    metadata:
      labels:
        app: redisinsight #label for pod/s
    spec:
      volumes:
        - name: redisinsight
          persistentVolumeClaim:
            claimName: redisinsight-pv-claim
      initContainers:
        - name: init
          image: busybox
          command:
            - /bin/sh
            - '-c'
            - |
              chown -R 1000 /data              
          resources: {}
          volumeMounts:
            - name: redisinsight
              mountPath: /data
          terminationMessagePath: /dev/termination-log
          terminationMessagePolicy: File
      containers:
        - name:  redisinsight #Container name (DNS_LABEL, unique)
          image: redis/redisinsight:latest #repo/image
          imagePullPolicy: IfNotPresent #Always pull image
          volumeMounts:
          - name: redisinsight #Pod volumes to mount into the container's filesystem. Cannot be updated.
            mountPath: /data
          ports:
          - containerPort: 5540 #exposed container port and protocol
            protocol: TCP
  1. Create the Redis Insight deployment and service.
kubectl apply -f redisinsight.yaml

Create the Redis Insight deployment without a service.

Below is an annotated YAML file that will create a Redis Insight deployment in a K8s cluster.

  1. Create a new file redisinsight.yaml with the content below
apiVersion: apps/v1
kind: Deployment
metadata:
  name: redisinsight #deployment name
  labels:
    app: redisinsight #deployment label
spec:
  replicas: 1 #a single replica pod
  selector:
    matchLabels:
      app: redisinsight #which pods is the deployment managing, as defined by the pod template
  template: #pod template
    metadata:
      labels:
        app: redisinsight #label for pod/s
    spec:
      containers:
      - name:  redisinsight #Container name (DNS_LABEL, unique)
        image: redis/redisinsight:latest #repo/image
        imagePullPolicy: IfNotPresent #Always pull image
        env:
          # If there's a service named 'redisinsight' that exposes the
          # deployment, we manually set `RI_APP_HOST` and
          # `RI_APP_PORT` to override the service environment
          # variables.
          - name: RI_APP_HOST
            value: "0.0.0.0"
          - name: RI_APP_PORT
            value: "5540"
        volumeMounts:
        - name: redisinsight #Pod volumes to mount into the container's filesystem. Cannot be updated.
          mountPath: /data
        ports:
        - containerPort: 5540 #exposed container port and protocol
          protocol: TCP
      livenessProbe:
           httpGet:
              path : /healthcheck/ # exposed RI endpoint for healthcheck
              port: 5540 # exposed container port
           initialDelaySeconds: 5 # number of seconds to wait after the container starts to perform liveness probe
           periodSeconds: 5 # period in seconds after which liveness probe is performed
           failureThreshold: 1 # number of liveness probe failures after which container restarts
      volumes:
      - name: redisinsight
        emptyDir: {} # node-ephemeral volume https://kubernetes.io/docs/concepts/storage/volumes/#emptydir
  1. Create the Redis Insight deployment
kubectl apply -f redisinsight.yaml
Note:
If the deployment will be exposed by a service whose name is 'redisinsight', set RI_APP_HOST and RI_APP_PORT environment variables to override the environment variables created by the service.

Run Redis Insight

Once the deployment has been successfully applied and the deployment is complete, access Redis Insight. This can be accomplished by exposing the deployment as a K8s Service or by using port forwarding, as in the example below:

kubectl port-forward deployment/redisinsight 5540

Open your browser and point to http://localhost:5540

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