Amazon SageMaker AI Announces New observability capability For Inference Endpoints

Amazon SageMaker AI announces new observability capabilities for inference endpoints, enabling comprehensive monitoring of production generative AI workloads with real-time visibility into performance metrics and infrastructure health.

• Tracks token performance metrics including Time to First Token, inter-token latency, queue depth, and tokens per second
• Pre-built SageMaker AI Insights dashboard in CloudWatch displays token latency, GPU utilization, scaling events, and cold start breakdowns
• OpenTelemetry native metrics published automatically with no instrumentation required
• Supports integration with Grafana using regional PromQL endpoints and pre-configured dashboard templates
• Available across 17 AWS regions globally including US, Canada, South America, Europe, and Asia Pacific

This capability enables teams to diagnose performance issues in minutes rather than hours and optimize their AI inference fleet operations.