Jean-Mathieu Saponaro discusses the challenges of monitoring Docker-powered services, which operate with a higher number of containers compared to traditional services and often involve dynamic infrastructure managed by orchestrators like Kubernetes. The article introduces Datadog's Autodiscovery feature, which automatically tracks container locations and gathers detailed metrics, enabling continuous monitoring despite the shifting nature of service hosts. Autodiscovery works by listening to Docker events and applying predefined configuration templates to containers based on their images or labels, using variables such as %%host%% and %%port%% to adapt to changing infrastructure. The system can be seamlessly integrated into Kubernetes or DC/OS environments and is enabled automatically for Datadog Agents deployed as Docker containers. For those using other platforms, a simple setup involving configuration templates and enabling Autodiscovery is required. The Docker-certified Datadog Agent image, available on the Docker Store, offers a straightforward way to leverage this feature, allowing users to easily monitor dynamic containerized services.