https://yennj12.js.org/yennj12_blog_V4/tags/api-gateway/Recent content in API Gateway on YennJ12 Engineering BlogHugo -- gohugo.ioen-usSat, 17 Jan 2026 09:00:00 +0800https://yennj12.js.org/yennj12_blog_V4/posts/ai-music-generation-aws-cdk-infrastructure/Sat, 17 Jan 2026 09:00:00 +0800https://yennj12.js.org/yennj12_blog_V4/posts/ai-music-generation-aws-cdk-infrastructure/Complete guide to architecting a production-ready AI music generation platform on AWS using CDK, comparing SageMaker and Bedrock approaches with detailed pros, cons, and implementation strategies for generating music from text prompts.https://yennj12.js.org/yennj12_blog_V4/posts/centralized-user-access-control-aws-cognito-cdk/Sun, 30 Nov 2025 13:00:00 +0000https://yennj12.js.org/yennj12_blog_V4/posts/centralized-user-access-control-aws-cognito-cdk/🎯 Introduction Building a centralized user access control system is one of the most critical architectural decisions for modern applications. Whether you’re managing a single application or a microservices ecosystem, having a robust, scalable authentication and authorization system is essential for: Single Source of Truth: One system managing all user identities and permissions Consistency: Uniform authentication experience across all services Security: Centralized security policies and compliance controls Scalability: Support for millions of users across multiple applications Developer Experience: Simple integration for new services Cost Efficiency: Managed service without operational overhead This comprehensive guide demonstrates how to design and implement a production-ready centralized access control system using AWS Cognito and CDK (TypeScript), with strategies for multi-tenancy, role-based access control (RBAC), and integration patterns for various services.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.https://yennj12.js.org/yennj12_blog_V4/posts/building-serverless-url-shortener-aws-cdk/Sun, 10 Aug 2025 15:55:00 +0800https://yennj12.js.org/yennj12_blog_V4/posts/building-serverless-url-shortener-aws-cdk/Deep dive into designing and building a production-ready URL shortener using AWS serverless services, exploring architectural tradeoffs, and implementing with AWS CDK.