When utilizing Couchbase as a persistent system of records, it is essential to carefully consider the underlying storage infrastructure, as this significantly affects the data store's performance and availability, ultimately impacting application performance and customer satisfaction. Couchbase is renowned for its sub-millisecond response times, which has driven its widespread adoption, but transitioning from a caching layer to a persistent data store introduces additional complexities, particularly when dealing with large-scale data storage. Key considerations for storage infrastructure include meeting service level agreements (SLAs), such as Recovery Time Objectives and Recovery Point Objectives, and addressing performance parameters like IOPS and latency. Storage solutions must ensure high availability, disaster recovery, and adaptability across different platforms and storage types. Deciding on the appropriate storage solution—whether DAS, NAS, or SAN—requires a thorough understanding of business objectives, application needs, and cost implications, involving collaboration with specialized storage teams to establish an effective storage strategy.