AWS Batch on Fargate is an AWS offering that combines the benefits of AWS Fargate and AWS Batch to provide a cost-effective and scalable solution for running batch computing workloads without managing underlying infrastructure. It enables the execution of compute-intensive tasks such as machine learning, data processing, and scientific computing in serverless containers, making it ideal for automated job scheduling and serverless workflows. With the support for multi-container jobs now generally available, AWS Batch on Fargate can run the Datadog Agent alongside applications, providing comprehensive monitoring of containerized applications and jobs through metrics, traces, and live processes. The Datadog Agent collects real-time metrics, accepts DogStatsD metrics, and visualizes trace data as flame graphs to identify latency issues and errors across distributed applications. Additionally, it allows monitoring of live processes in AWS Batch jobs on Fargate, enabling the detection of process crashes, latency, or resource contention, and providing valuable insights for ensuring serverless application health and performance.