AWS Batch on Fargate is an AWS offering that combines the benefits of serverless compute engine for deploying and managing containers with a fully managed service for running batch workloads. It provides a cost-effective and scalable solution for running batch computing workloads without needing to manage underlying infrastructure. With the support for multi-container jobs now generally available, users can run compute-intensive tasks on serverless containers, making it ideal for machine learning, data processing, scientific computing, automated job scheduling, and serverless workflows. The Datadog Agent container enables comprehensive monitoring of containerized applications and jobs, collecting real-time metrics, traces, and live processes to ensure the health and performance of workloads. This includes monitoring CPU, memory, disk I/O, and network metrics, as well as tracing service calls and visualizing application architecture with a Service Map. Additionally, Datadog Live Processes allows users to monitor resource metrics like CPU and memory usage, isolate problematic processes, and detect anomalous behavior, helping to quickly troubleshoot and resolve performance bottlenecks.