Datadog has enhanced its integration with Confluent Cloud, a Kafka-as-a-service solution, to include automatic discovery and monitoring of Confluent Cloud connectors, crucial for managing streaming data pipelines. This upgrade enables users to visualize connectors within Datadog’s Data Streams Monitoring (DSM), providing essential insights into throughput, latency, and status, thereby helping engineers identify and resolve performance bottlenecks. The integration now allows for the automatic retrieval of connector metrics, which are displayed in an out-of-the-box dashboard, facilitating a comprehensive overview of data flows and dependencies across the pipeline. By offering this expanded functionality, Datadog aims to improve the observability and performance of event-driven systems, helping teams maintain consistent data flow and optimize system health.