Couchbase cluster operators are tasked with ensuring the system runs smoothly 24/7, requiring proper configuration, monitoring, and sizing to meet application demands. Key practices include keeping client libraries updated, monitoring system metrics such as cache hit ratio and disk I/O, and separating data and index files across different storage devices for optimal performance. Operators should be cautious with rebalancing processes and prioritize swap rebalancing when possible. Integrating Couchbase with existing monitoring ecosystems via REST API can provide alerts on critical issues like IP address changes or disk usage, while proper cluster sizing for RAM, disk, and CPU is crucial for system stability. Data replication within the cluster, optional index replication, and cross data center replication (XDCR) for disaster recovery are vital for data integrity and availability. Tuning indexing, particularly through incremental updates, can enhance performance, and grouping views in fewer design documents is recommended. While these practices form a core guideline, operators are encouraged to explore further best practices and adapt strategies to their specific needs.