Apache Flink is an open source framework for real-time and batch data stream processing, written in Java and Scala. It offers robust libraries and layered APIs for building scalable, event-driven applications for data analytics and more. Datadog has introduced a new integration with Apache Flink to provide deep visibility into Flink deployments. The integration allows users to visualize metrics such as job uptime, buffer usage, and checkpoint count in an out-of-the-box dashboard. It also enables the correlation of logs with metrics for effective troubleshooting of performance issues. Flink processes dataflow programs using directed acyclic graphs (DAG) consisting of streams and transformations. Monitoring checkpoints, buffer pool usage, and JVM resource usage can help ensure high performance and availability of Flink applications. Datadog's integration provides a comprehensive view of these metrics alongside other components of the Apache ecosystem, allowing users to identify and diagnose performance bottlenecks effectively.