Redis is a popular in-memory key/value data store known for its performance and simple onboarding, offering uses across industries and use cases such as databases, message queues, and memory caches. It's available as a free, open-source product with commercial support options, including managed Redis-as-a-service. Many high-traffic websites and applications like Twitter, GitHub, Docker, Pinterest, Datadog, and Stack Overflow utilize Redis. Monitoring Redis is crucial to catch problems in resource issues with the database itself and supporting infrastructure. Key metrics include performance metrics such as latency, instantaneous operations per second, and hit rate, as well as memory metrics like used memory, mem fragmentation ratio, and evicted keys. Persistence metrics track data writes and saves to disk, while error metrics monitor common errors like rejected connections and keyspace misses. The article concludes by highlighting the importance of monitoring Redis metrics to ensure optimal performance and health of the database infrastructure.