Google Cloud's Dataflow is a fully managed stream and batch processing service that offers fast and simplified development for data-processing pipelines written using Apache Beam. It has a serverless approach, removing the need to provision or manage servers, allowing developers to focus on programming instead of managing infrastructure. Dataflow also features integration with other Google Cloud services such as Vertex AI and BigQuery, enabling users to process data in their pipelines and replicate pipeline data into BigQuery. Datadog's new Dataflow integration provides full visibility into the state of Dataflow pipelines, allowing users to monitor failures, long-running jobs, and data freshness analytics in a single pane of glass. The integration enables teams to create custom alerts to notify them when critical changes occur in their pipelines, understand upstream and downstream dependencies, and get notified about system lag and other issues that may arise in the pipelines. With Datadog's integration, users can leverage out-of-the-box dashboards and monitors to visualize key Dataflow metrics and other complementary data, and use detailed troubleshooting tools such as Execution details, worker logs, and job metrics to investigate and resolve issues. The integration also provides complete visibility into upstream and downstream dependencies, allowing teams to quickly identify the root cause of issues in their pipelines.