☁️ Welcome to YZ's Blog
Exploring AWS and Cloud Technologies
🚀 AWS Expert
⚡ DevOps
🏗️ Cloud Architecture
📚 What You'll Find Here
🔧 AWS Services
深入解析 AWS 各项服务的最佳实践和使用技巧
🏛️ Architecture
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现代化开发运维工具和自动化流程
📊 Blog Statistics
289
Total Posts
11
Categories
226
Tags
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[ML] Streamline deep learning environments with Amazon Q Developer and MCP
☁️ Streamline deep learning environments with Amazon Q Developer and MCP -
[AWS Blog] AWS Weekly Roundup: Kiro, AWS Lambda remote debugging, Amazon ECS blue/green deployments, Amazon Bedrock AgentCore, and more (July 21, 2025)
🤖 AWS Weekly Roundup: Kiro, AWS Lambda remote debugging, Amazon ECS blue/green deployments, Amazon Bedrock AgentCore, and more (July 21, 2025) -
[ML] Build an AI-powered automated summarization system with Amazon Bedrock and Amazon Transcribe using Terraform
🤖 Build an AI-powered automated summarization system with Amazon Bedrock and Amazon Transcribe using Terraform -
[ML] Kyruus builds a generative AI provider matching solution on AWS
🤖 Kyruus builds a generative AI provider matching solution on AWS -
[ML] Use generative AI in Amazon Bedrock for enhanced recommendation generation in equipment maintenance
🤖 Use generative AI in Amazon Bedrock for enhanced recommendation generation in equipment maintenance -
[ML] Build real-time travel recommendations using AI agents on Amazon Bedrock
🤖 Build real-time travel recommendations using AI agents on Amazon Bedrock -
[ML] Deploy a full stack voice AI agent with Amazon Nova Sonic
🤖 Deploy a full stack voice AI agent with Amazon Nova Sonic -
[ML] Manage multi-tenant Amazon Bedrock costs using application inference profiles
🤖 Manage multi-tenant Amazon Bedrock costs using application inference profiles -
[ML] Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI
🤖 Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI -
[ML] Building cost-effective RAG applications with Amazon Bedrock Knowledge Bases and Amazon S3 Vectors
🤖 Building cost-effective RAG applications with Amazon Bedrock Knowledge Bases and Amazon S3 Vectors