https://yennj12.js.org/yennj12_blog_V4/tags/aws-cdk/Recent content in AWS CDK on YennJ12 Engineering BlogHugo -- gohugo.ioen-usSun, 21 Dec 2025 11:00:00 +0000https://yennj12.js.org/yennj12_blog_V4/posts/llm-fine-tuning-aws-bedrock-complete-guide/Sun, 21 Dec 2025 11:00:00 +0000https://yennj12.js.org/yennj12_blog_V4/posts/llm-fine-tuning-aws-bedrock-complete-guide/Comprehensive guide to fine-tuning and customizing Large Language Models (LLMs) with AWS Bedrock - covering supervised fine-tuning, continued pre-training, and reinforcement fine-tuning with practical examples and AWS CDK infrastructure setup.https://yennj12.js.org/yennj12_blog_V4/posts/deploying-huggingface-models-aws-cdk-sagemaker/Sun, 30 Nov 2025 12:00:00 +0000https://yennj12.js.org/yennj12_blog_V4/posts/deploying-huggingface-models-aws-cdk-sagemaker/🎯 Introduction Deploying machine learning models to production is a complex challenge that goes far beyond training a model. When working with large models from Hugging Face—whether it’s image generation, text-to-image synthesis, or other AI tasks—you need robust infrastructure that handles: Scalability: Auto-scaling to handle variable loads from 0 to thousands of concurrent requests Cost Efficiency: Paying only for what you use while maintaining performance Reliability: 99.9%+ uptime with proper error handling and monitoring Security: Protecting models, data, and API endpoints Observability: Comprehensive logging, metrics, and tracing This comprehensive guide demonstrates how to deploy a Hugging Face model to AWS using infrastructure as code (CDK with TypeScript), combining SageMaker for model hosting and Lambda for API orchestration.