Justin Slattery, Sr. Director of Software Development at MLS Digital, shares the company's experience with using Datadog for performance monitoring and graphing of its distributed NoSQL database Couchbase. The team has found that Datadog strikes a good balance between ease of use, flexibility, and extensibility, providing them with leverage to monitor key Couchbase metrics such as operations per second, view operations per second, current connections, total objects, resident item ratio, memory headroom, cache miss ratio, disk reads per second, ejections, and disk write queue. These metrics help the team identify performance and availability issues in their products built on top of Couchbase, including a recent issue with runaway object additions that was caught thanks to the total objects metric. The Datadog integration exposes all Couchbase metrics, making it easy for the team to monitor and gain visibility into their database's performance.