01
SageMaker Model Deployment & MLOps
Real-time, async, batch, and multi-model serving on Amazon SageMaker AI — with the operational glue your platform team would build if they had six months.
What we ship
- Real-time and async SageMaker endpoints
- Multi-model and multi-container serving
- Inference autoscaling and cost guardrails
- Pipelines, Model Registry, Model Cards
- Shadow deploys, canary, A/B traffic split
Built-in operations
- CloudWatch dashboards & alarms
- Model monitor for drift & bias
- VPC isolation, KMS, IAM least-privilege
- Cost reporting per model & endpoint
- CI/CD via CDK or Terraform
Real-timeAsyncBatchJumpStartPipelinesModel Registry