Amazon SageMaker

Amazon SageMaker is AWS's flagship machine learning platform for building, training, and deploying ML models at scale. Launched in 2017, SageMaker has become the leading enterprise MLOps platform with over 100,000 customers including Netflix, Lyft, Capital One, and NASA. The platform provides a comprehensive suite of tools spanning the entire ML lifecycle: SageMaker Studio for unified development, SageMaker Data Wrangler for data preparation, SageMaker Autopilot for AutoML, SageMaker Training for distributed model training with cost optimization (up to 90% savings via Spot Instances), and SageMaker Endpoints for real-time and batch inference. SageMaker integrates seamlessly with the AWS ecosystem including S3 for data storage, Glue for ETL, and CloudWatch for monitoring, while supporting open-source frameworks like TensorFlow, PyTorch, Hugging Face, and scikit-learn. Netflix reduced model deployment time from weeks to hours using SageMaker's continuous deployment capabilities, while Capital One uses SageMaker for fraud detection models processing millions of transactions daily. The platform offers enterprise-grade security with VPC isolation, encryption at rest and in transit, IAM access controls, and compliance certifications including PCI DSS, HIPAA, SOC 2, and ISO 27001. SageMaker's pay-as-you-go pricing with a 2-month free tier (250 hours of notebooks, 50 hours of training) makes it accessible for experimentation while scaling to production workloads.