Yesterday we identified that real-time endpoints carry the heaviest operational burden among four inference options. To provide stable low-latency service on always-on instances, you must understand endpoint configuration, traffic-responsive auto-scaling, and cost control as models multiply from tens to thousands. Today covers the three pillars of SageMaker real-time endpoint operations: endpoint configuration, auto-scaling, and multi-model/multi-container patterns.
SageMaker real-time inference separates three resources, providing the foundation for zero-downtime updates and traffic splitting.