<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Lambda on YennJ12 Engineering Blog</title><link>https://yennj12.js.org/yennj12_blog_V4/tags/lambda/</link><description>Recent content in Lambda on YennJ12 Engineering Blog</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Sat, 24 Jan 2026 14:00:00 +0800</lastBuildDate><atom:link href="https://yennj12.js.org/yennj12_blog_V4/tags/lambda/feed.xml" rel="self" type="application/rss+xml"/><item><title>Building a Sentiment-Driven US Stock Trading System with X.com Real-Time Analysis</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/sentiment-driven-stock-trading-aws-cdk-twitter/</link><pubDate>Sat, 24 Jan 2026 14:00:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/sentiment-driven-stock-trading-aws-cdk-twitter/</guid><description>Build an intelligent US stock trading system using AWS CDK that analyzes real-time X.com posts, performs sentiment analysis with ML models, and executes trades based on social media sentiment for configured stocks like TSLA, GOOG, and more.</description></item><item><title>Building an Intelligent Bitcoin Trading System with AWS CDK and ML Models</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/bitcoin-trading-system-aws-cdk-ml-predictions/</link><pubDate>Sat, 24 Jan 2026 10:00:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/bitcoin-trading-system-aws-cdk-ml-predictions/</guid><description>Build a production-ready automated Bitcoin trading system using AWS CDK that integrates ML models from Bedrock and HuggingFace for price prediction and executes trades based on real-time market events.</description></item><item><title>Building AI Music Generation Platform: AWS CDK Architecture with SageMaker and Bedrock Comparison</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/ai-music-generation-aws-cdk-infrastructure/</link><pubDate>Sat, 17 Jan 2026 09:00:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/ai-music-generation-aws-cdk-infrastructure/</guid><description>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.</description></item><item><title>Deploying Hugging Face Models to AWS: A Complete Guide with CDK, SageMaker, and Lambda</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/deploying-huggingface-models-aws-cdk-sagemaker/</link><pubDate>Sun, 30 Nov 2025 12:00:00 +0000</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/deploying-huggingface-models-aws-cdk-sagemaker/</guid><description>🎯 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&amp;rsquo;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.</description></item><item><title>Building Serverless URL Shortener with AWS CDK</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/building-serverless-url-shortener-aws-cdk/</link><pubDate>Sun, 10 Aug 2025 15:55:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/building-serverless-url-shortener-aws-cdk/</guid><description>Deep dive into designing and building a production-ready URL shortener using AWS serverless services, exploring architectural tradeoffs, and implementing with AWS CDK.</description></item></channel></rss>