Yair Cohen and David M. Lentz from Datadog are sharing their experiences with Kubernetes scaling challenges and introducing new features for monitoring Kubernetes in Datadog, including distributed tracing across clusters and distribution metrics. They're also announcing the open sourcing of Watermark Pod Autoscaler (WPA) to extend the capabilities of Horizontal Pod Autoscaling, ExtendedDaemonSet to improve deployment processes, and the Datadog Operator to simplify deploying and managing Agents at scale. These solutions aim to address challenges in running Kubernetes in production and give back to the Kubernetes community.