Datadog has launched new integrations with Supabase, DuckDB, and Milvus to enhance visibility and performance monitoring in modern data platforms. These integrations cater to different aspects of data management, including serverless data workflows with Supabase, in-process analytics with DuckDB, and vector search for AI/ML with Milvus. By consolidating metrics, logs, and traces, Datadog enables teams to efficiently diagnose issues, optimize resource allocation, and ensure high performance across their infrastructure. The integration with Supabase aids developers in managing query behavior and resource contention, DuckDB's integration focuses on maximizing resource efficiency and performance, while Milvus integration allows for monitoring AI workloads, ensuring responsive and efficient vector-based search capabilities. Overall, these integrations help reduce monitoring complexity and mitigate risks, supporting the development of high-performing applications.