Redis, a popular open-source in-memory data store, offers various data structures and is widely used for real-time messaging, caching, and statistical calculations. Monitoring Redis performance can be effectively achieved using the ELK Stack, which ships, analyzes, and visualizes data. The Redis CLI command, `redis-cli info`, provides essential metrics such as memory consumption, client connections, CPU usage, and command statistics, which are crucial for performance monitoring. Logstash, with its exec plugin, can periodically execute these commands, sending the data to Elasticsearch for storage and Kibana for visualization. Key metrics to monitor include memory usage and fragmentation, client connections, and command processing, as they can indicate performance issues. By setting up Kibana charts and dashboards, users can gain insights into Redis performance over time, helping identify and address potential inefficiencies. Understanding these metrics is also beneficial for monitoring other message queues like Kafka and RabbitMQ, and while the ELK Stack is used here, other tools might also be suitable for monitoring Redis.