Docker-ize Datadog with Agent containers

The text discusses the integration of Docker and Datadog, highlighting how Docker's philosophy of isolating applications with containers can benefit monitoring. The traditional Datadog setup involves installing the Agent on a server, while the Docker-ized approach uses containers to isolate the Agent from the rest of the system. This allows for efficient monitoring of containerized applications without requiring a full virtualization setup. The integration enables users to monitor custom metrics and send data to Datadog, with options for alerting and visualizing Docker metrics through a free trial.