cloudops

AlibabaCloud CloudOps MCP Server

Official code repository for the paper "Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain"

This repository documents my step-by-step learning and implementation of modern MLOps, AI Infrastructure, and Cloud-Native ML systems.

Hierarchical agent system for Org-wide CloudOps coverage — Health, FinOps, and network resilience in one interface.

Continuous AWS Route Verification Engine

CloudOps Dashboard helps monitor cloud infrastructure, service health, deployment status, and operational metrics through a centralized backend management platform.

AWS sample for deploying a CloudOps agent with Amazon Bedrock AgentCore, MCP tools, identity, policy controls, memory, and AWS CDK.

AI for AWS Cloud Operations: automating monitoring, logs & cost optimization. A serverless, read-only FinOps + security dashboard for AWS.

FluxOp

基于 Rocky Linux 的多节点云业务平台部署、巡检、备份恢复与可逆故障演练

Cloud cost analysis platform with AI recommendations and infrastructure monitoring.

Self-hosted CloudOps AI control plane with Cognito, OPA/Rego, Bedrock, CloudWatch, Cost Explorer, Jira/ServiceNow adapters, DynamoDB audit, MCP, and Terraform.

A collection of AWS Cloud related tools and utilities.

AI-powered CloudOps incident triage dashboard for Kubernetes and CI/CD failures with manifest checks, remediation guidance, Docker, and GitHub Actions CI.

Cloud-native SRE operations dashboard on Amazon EKS with Helm, Terraform, RDS, HPA, CloudWatch, and GitHub Actions.

Python-based AI assistant for Kubernetes incident analysis, automated troubleshooting, and CloudOps workflows.

AI-powered CloudOps monitoring system — anomaly detection with PyTorch, FastAPI REST API, Docker deployment, AWS SageMaker training, and GPT-based natural language explanations.

Kubernetes canary deployment engine with automated health monitoring, progressive traffic shifting, and auto-rollback. Runs entirely locally with Kind.

AI-powered CloudOps incident analysis API built with Python, FastAPI, Pydantic, Groq, Pytest, and Docker.

Production-style AWS CloudOps Incident Assistant using CloudWatch, EventBridge, Lambda, DynamoDB, S3, SNS, Bedrock RAG, Guardrails, and SSM Automation.