Automatically optimize database queries with Datadog Database Monitoring

Bits Database Optimization offers a comprehensive solution for query optimization by automating the detection, validation, and implementation of query improvements. It begins by identifying slow queries using Database Monitoring (DBM) and simulates fixes against a replica of the user's schema to ensure improvements are effective without requiring direct access to the production database. The tool leverages synthetic data to mimic real-world conditions, ensuring that recommended changes genuinely enhance performance. Once validated, Bits AI automatically creates a pull request on the exact line of code responsible for the query, embedding simulation results for easy review by developers. This streamlined process allows teams to optimize queries efficiently, reduce latency, and maintain a continuously tuned database system with minimal manual intervention.