A Docker Compose setup for Redis 8 (including Modules) with RedisInsight for development and experimentation.

This project provides a complete Redis 8 environment with:

• Redis 8 server with persistence and modules
• RedisInsight for visual database management
• Volume-based configuration
• Persistent data storage

• Redis 8: Latest Redis version with advanced features
• Redis Modules: Pre-loaded with RedisBloom, RediSearch, RedisJSON, and RedisTimeSeries modules
• RedisInsight: Web-based Redis GUI for database management with auto-configured connection
• Persistence: Data persistence with AOF (Append Only File)
• Volume Mounts: Persistent data, logs, and configuration

• Docker
• Docker Compose

1. Clone or download this project
2. Navigate to the project directory
3. Start the services:

docker-compose up -d

• Container: redis-server
• Image: redis:8
• Port: 6379
• Access: redis://redis:6379 (from RedisInsight) or redis://localhost:6379 (from host)
• Configuration: Uses redis.conf mounted from ./redis.conf

• Container: redisinsight
• Image: redislabs/redisinsight:latest
• Port: 5540
• Access: http://localhost:5540
• Auto-configured: Automatically connects to Redis server

RedisInsight should automatically connect to your Redis server when you open http://localhost:5540. If you need to manually add a connection:

1. Open http://localhost:5540 in your browser
2. Add a new database connection:
   • Host: redis-server (container name for connecting from redis insight) or localhost (from host)
   • Port: 6379
   • Username: default (or leave empty)
   • Password: Leave empty (unless configured)

docker-compose up -d

docker-compose down

docker-compose restart

This setup includes the following Redis modules (built into Redis 8):

• RedisBloom: Probabilistic data structures for scalable set membership, counting, and top-k queries
• RediSearch: Full-text search and secondary indexing
• RedisJSON: Native JSON data type support for storing, indexing, and querying JSON documents
• RedisTimeSeries: Time series data management, including ingestion, querying, and aggregation
• VectorSet: Vector similarity search capabilities

1. Check if containers are running: docker-compose ps
2. Check Redis logs: docker-compose logs redis
3. Verify port 6379 is not used by another service
4. Ensure password is correct if authentication is enabled

1. Check if container is running: docker-compose ps
2. Check RedisInsight logs: docker-compose logs redisinsight
3. Try accessing http://localhost:5540
4. Verify port 5540 is not used by another service

• Ensure Docker has permission to mount volumes
• Check that the data/ and logs/ directories are writable

See the MIT LICENSE file for details.

Feel free to submit issues and pull requests to improve this setup.