Guide to Installing and Using RedisInsight (including Kubernetes Deployment)

Redis is an open‑source high‑performance in‑memory key‑value store, and RedisInsight is a visual GUI tool for designing, developing, and optimizing Redis applications.

RedisInsight provides features such as cluster support, browser‑based key search and edit, SSL/TLS connections, and memory analysis.

Installation

1. Download the RedisInsight package from https://redis.com/redis‑enterprise/redis‑insight/#insight‑form, extract it, move it to /usr/local/redisinsight/redisinsight-1.11.0 , and make it executable.

[root@Redis ~]# ls
anaconda-ks.cfg  redisinsight-linux64-1.11.0
[root@Redis ~]# mkdir /usr/local/redisinsight
[root@Redis ~]# mv redisinsight-linux64-1.11.0 /usr/local/redisinsight/redisinsight-1.11.0
[root@Redis ~]# chmod +x /usr/local/redisinsight/redisinsight-1.11.0

2. Set environment variables in ~/.bash_profile :

export REDISINSIGHT_HOST=192.168.1.1
export REDISINSIGHT_HOST_DIR=/usr/local/redisinsight/.redisinsight
source ~/.bash_profile

3. Configure optional variables such as REDISINSIGHT_PORT (default 8001), REDISINSIGHT_HOST (default 0.0.0.0), LOG_DIR , and REDISINSIGHT_HOST_DIR .

4. Start the service in the background:

[root@Redis ~]# nohup /usr/local/redisinsight/redisinsight-linux64-1.4.0 &

To verify, run ps aux | grep redis .

Kubernetes Deployment

Create a redisinsight.yaml file with a Service of type NodePort (port 80 → targetPort 8001, nodePort 31888) and a Deployment that runs the redislabs/redisinsight:1.7.0 image, mounts a volume at /db , and exposes containerPort 8001.

apiVersion: v1
kind: Service
metadata:
  name: redisinsight-service
spec:
  type: NodePort
  ports:
  - port: 80
    targetPort: 8001
    nodePort: 31888
  selector:
    app: redisinsight
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: redisinsight
  labels:
    app: redisinsight
spec:
  replicas: 1
  selector:
    matchLabels:
      app: redisinsight
  template:
    metadata:
      labels:
        app: redisinsight
    spec:
      containers:
      - name: redisinsight
        image: redislabs/redisinsight:1.7.0
        imagePullPolicy: IfNotPresent
        volumeMounts:
        - name: db
          mountPath: /db
        ports:
        - containerPort: 8001
          protocol: TCP
      volumes:
      - name: db
        emptyDir: {}

Apply the manifest with kubectl apply -f redisinsight.yaml and access the UI via the configured IP and port.

Additionally, the article shows how to install Redis itself, configure its IP, disable protected mode, enable daemonization, set a password, and start the server, then connect to RedisInsight to view metrics, perform operations, and analyze memory usage.