Monitoring Amazon SageMaker with Datadog

Amazon SageMaker is a fully managed service that simplifies the process of building, training, and deploying machine learning models. Monitoring the performance and resource utilization of ML inference endpoints and jobs is crucial for ensuring efficient and reliable model operation. Datadog enables users to collect, visualize, and alert on Amazon SageMaker metrics, allowing quick identification of issues and opportunities for improvement. The platform provides out-of-the-box dashboards for monitoring endpoint latency, error rates, resource utilization, and invocations. Additionally, it helps track the resource utilization of processing, training, and transform jobs executed by SageMaker. By using Datadog's integration with SageMaker, users can maintain optimal performance and health of their ML models while monitoring other AWS services in their AI stack.