What it is: Query Shapes with MongoDB and Datadog lets teams view detailed MongoDB query performance data directly in Datadog. It surfaces query metrics like latency and execution frequency, giving a unified view of database performance alongside application and infrastructure data. Who it’s for: This feature is for developers, DBAs, SREs, and observability teams who monitor and optimize database performance. It helps these groups collaborate more effectively by making MongoDB query insights available within their existing Datadog workflows. Why it matters: Query Shapes helps teams quickly identify slow or inefficient queries without switching tools. It shortens root cause analysis time, improves application reliability, and provides the context needed to continuously optimize performance. How to get started: Connect your MongoDB Atlas deployment to Datadog and update to the latest integration version. Once enabled, visit the Query Shapes view in Datadog to monitor metrics, visualize trends, and set up alerts for performance issues.