Master RedisInsight: Visual Management & Monitoring of Redis with Docker and Grafana

RedisInsight Overview

RedisInsight is the official visual management tool for Redis, offering dark and light themes, support for data types such as String, Hash, Set, List, and JSON, and a remote CLI for powerful operations.

RedisMod Overview

Redis has evolved beyond a simple in‑memory store; the RedisMod bundle adds several modules that extend its capabilities:

RediSearch – full‑text search engine

RedisJSON – native JSON support

RedisTimeSeries – time‑series database

RedisGraph – graph database

RedisBloom – probabilistic data structures

RedisGears – programmable data processing

RedisAI – real‑time machine‑learning model management

Installation

First, pull and run the full‑featured RedisMod image using Docker.

<code>docker pull redislabs/redismod:preview</code>

<code>docker run -p 6379:6379 --name redismod \
    -v /mydata/redismod/data:/data \
    -d redislabs/redismod:preview</code>

Using RedisInsight

After the Redis service is running, manage it with RedisInsight.

Basic Usage

Download RedisInsight from https://redis.com/redis-enterprise/redis-insight/ and install it.

In the main UI, click

Add Redis Database

, then choose

Manual Add Database

and enter the connection details.

The interface displays the enabled Redis modules and lets you create keys of various types:

CLI

If the graphical UI is insufficient, open the built‑in CLI tab.

RedisInsight includes a Command Helper that lets you search command documentation, e.g., searching for

hget

.

Profiler

The Profiler shows command execution logs. For example, adding a key

testKey

will appear in the log.

Visualization Monitoring

RedisInsight provides basic monitoring, but for richer metrics you can use Grafana.

Installing Grafana and Prometheus

Pull the Grafana Docker image:

<code>docker pull grafana/grafana</code>

Run Grafana:

<code>docker run -p 3000:3000 --name grafana \
    -d grafana/grafana</code>

Pull the Prometheus image and create a

prometheus.yml

configuration file (example snippet shown).

<code>global:
  scrape_interval: 5s</code>

Run Prometheus with the configuration mounted:

<code>docker run -p 9090:9090 --name prometheus \
    -v /mydata/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml \
    -d prom/prometheus</code>

Enter the Grafana container and install the Redis datasource plugin:

<code>docker exec -it grafana /bin/bash
grafana-cli plugins install redis-datasource</code>

After restarting Grafana, add a Redis datasource using the RedisMod container’s IP address and the credentials

admin:admin

, then select the Redis dashboard to view comprehensive metrics.

Conclusion

RedisInsight, as an official visual tool, offers the best user experience for managing Redis and its new modules, though its built‑in monitoring is limited; pairing it with Grafana provides a more complete monitoring solution.