Production-grade MLOps architecture for real-time visual inspection using SageMaker endpoints with auto-scaling (5-15 instances) behind API Gateway and WAF. Image quality checks via Lambda validate inputs from S3 before orchestrating inference, with SQS buffering requests and SNS alerting on failures. Development VPC isolates SageMaker Studio training jobs, Feature Store integration, and CodePipeline CI/CD that promotes models from dev endpoints through Model Registry to production. QuickSight monitors CloudWatch metrics for model drift detection while VPC peering enables secure cross-environment model artifact transfer. Fork this diagram on Diagrams.so to customize security groups, adjust auto-scaling thresholds, or add your own preprocessing Lambda functions for manufacturing quality control workflows.