Redis

Redis with Ondat

Redis is a popular networked, in-memory, key-value data store with optional durability to disk.

Before you start, ensure you have Ondat installed and ready on a Kubernetes cluster. See our guide on how to install Ondat on Kubernetes for more information.

Deploying Redis on Kubernetes

1. You can find the latest files in the Ondat use cases repository

   git clone https://github.com/storageos/use-cases.git storageos-usecases
   

   StatefulSet defintion

   kind: StatefulSet
   metadata:
   name: redis
   spec:
   selector:
    matchLabels:
      app: redis
      env: prod
   serviceName: redis
   replicas: 1
   ...
   spec:
      serviceAccountName: redis
       ...
       volumeMounts:
        - name: data
          mountPath: /bitnami/redis/data
    ...
   volumeClaimTemplates:
   - metadata:
      name: data
      labels:
        env: prod
    spec:
      accessModes: ["ReadWriteOnce"]
      storageClassName: "fast" # Ondat storageClass 
      resources:
        requests:
          storage: 5Gi
   

   This excerpt is from the StatefulSet definition. This file contains the VolumeClaim template that will dynamically provision storage, using the Ondat storage class. Dynamic provisioning occurs as a volumeMount has been declared with the same name as a Volume Claim.

2. Move into the Redis examples folder and create the objects

   cd storageos-usecases
   kubectl create -f ./redis
   

3. Confirm Redis is up and running.

   $ kubectl get pods -w -l app=redis
   NAME        READY    STATUS    RESTARTS    AGE
   redis-0     1/1      Running    0          1m
   

4. Connect to the Redis client pod and connect to the Redis server through the service

    $ kubectl exec -it redis-0 -- redis-cli -a password
    Warning: Using a password with '-a' option on the command line interface may not be safe.
    127.0.0.1:6379> CONFIG GET maxmemory
    1) "maxmemory"
    2) "0"
   

Configuration

If you need custom startup options, you can edit the ConfigMap file 15-redis-configmap.yaml with your desired Redis configuration settings.