Apache Flink is an open-source framework for stateful processing of real-time and batch data streams. It offers robust libraries and layered APIs for building scalable, event-driven applications for data analytics, data processing, and more. The integration with Datadog provides visibility into Flink deployments, allowing users to visualize metrics such as job uptime, buffer usage, and checkpoint count in an out-of-the-box dashboard. Flink achieves fault tolerance by creating checkpoints to roll back to previous states and stream positions in the event of a failure. Monitoring the number of successful and failed checkpoints, along with the time taken to complete a checkpoint can help ensure that Flink applications are always available. The integration also helps users effectively handle backpressure to ensure high performance by identifying root causes such as insufficient resources or network channel oversubscription. Additionally, it provides an overview of JVM resource usage for JobManagers and TaskManagers to help diagnose performance bottlenecks. With Datadog's integration, users can get comprehensive visibility into their Flink deployments alongside other components of the Apache ecosystem, and more than 850 other technologies.