Monitoring ECS with Datadog

This text discusses how Datadog can be used to monitor Amazon Elastic Container Service (ECS) deployments. It explains that Datadog gathers information about ECS clusters from two sources - CloudWatch and the Datadog Agent, which is deployed on the clusters. The text then outlines various features of Datadog that help in monitoring ECS, such as automatic collection of metrics, tracking data from clusters, visualizing ECS deployment with a container map, detecting services running on an ECS cluster automatically, real-time insights into health and performance of ECS services and processes, collecting and analyzing ECS logs to show trends beyond those visible to CloudWatch, and creating alerts to track potential issues with the ECS cluster. The text also provides detailed instructions on how to set up Datadog to collect ECS data from both sources - first by configuring the AWS integration, then by installing the Datadog Agent on clusters. It further explains how to use Datadog's various features like dashboards, host map and container map, Autodiscovery, distributed tracing and APM for troubleshooting ECS applications, and setting up alerts to ensure cluster availability.