Popular GitHub Repositories for Cloudwatch

Desktop based log analysis for all your log sources

@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.

一个模型上下文协议 (MCP) 服务器，允许 AI 助手访问 AWS CloudWatch Logs 进行分析、搜索和关联分析。

用于 AWS 成本管理器和 CloudWatch 日志的 MCP（多云平台）

Machine Learning on AWS using various methods/examples

?️Elevate your Twitch stream with AI-powered interactions and seamless channel management. Harness the power of Amazon's Bedrock Agent to engage your audience like never before, while effortlessly controlling your stream with intuitive commands." "!ask [your question]", which allows you to ask me anything about the stream, gaming, or general topic

Serverless AWS chatbot using Terraform. Secure Lambda with private subnet + NAT.

Monitors Amazon Transcribe job concurrency and creates CloudWatch alarms when approaching service quotas.

Summarize Cloudwatch Logs using AWS Bedrock

CDK app showcasing a serverless approach to send OpenTelemetry traces to ClickHouse using CloudWatch Logs and Lambda

AI Orchestration mini project using AWS S3, Lambdas, step functions, and cloudwatch for monitoring

Cloud-native, AWS-native platform for Retrieval-Augmented Generation (RAG) and parameter-efficient fine-tuning (PEFT), built with full MLOps and Infrastructure as Code. Features FastAPI, Docker, AWS CDK, ECS Fargate, SageMaker, S3, Secrets Manager, CloudWatch, CI/CD with GitHub Actions, robust security, monitoring, automation for enterprise AI.

一个模型上下文协议（MCP）服务器，它允许AI助手通过使用AWS SDK的标准化接口与Amazon CloudWatch Logs进行交互。

deepracer :blue_car: : AWS DeepRacer # SageMaker # RoboMaker # Kinesis Video Stream # S3 # Reinforcement Learning# CloudWatch