Auto-Remediation Monitoring & Control Platform

🚀 Features

• Real-time container monitoring
• AI-powered incident diagnosis
• Automated remediation workflows
• Isolated logging pipelines

📦 Prerequisites

# Required Tools
- Docker Desktop 4.15+
- Python 3.9+
- Node.js 14.x (for App2)

🛠️ Installation

# Clone the repository
git clone https://github.com/VikasDz/DevOps-Monitoring-MCP.git
cd DevOps-Monitoring-MCP

# Set up environment
cp .env.example .env
nano .env  # Add your DeepSeek API key

# Build and launch
docker-compose up -d --build

🌐 Service Endpoints

Service	URL	Credentials
Grafana	http://localhost:3000	admin:grafana
Prometheus	http://localhost:9090	-
Kibana	http://localhost:5601	-
MCP Dashboard	http://localhost:8000	-

🐳 Docker Commands Cheatsheet

# View running containers
docker-compose ps

# Check MCP logs
docker-compose logs -f mcp

# Force rebuild
docker-compose up -d --force-recreate

# Full cleanup
docker-compose down -v && docker system prune -a

📝 Sample prometheus.yml

global:
  scrape_interval: 15s

scrape_configs:
  - job_name: 'app1'
    metrics_path: '/metrics'
    static_configs:
      - targets: ['app1:5000']
  
  - job_name: 'app2'
    metrics_path: '/metrics'
    static_configs:
      - targets: ['app2:3000']

🤖 Testing Auto-Remediation

# Trigger test failure (50% error rate)
import requests
for _ in range(5):
    requests.get('http://localhost:5000/error')
    
# Verify remediation
docker-compose logs mcp | grep "Attempting remediation"

🗂️ Project Structure

ARM-CP/
├── apps/
│   ├── app1/               # Flask app
│   │   ├── app.py
│   │   └── requirements.txt
│   └── app2/               # Node.js app
│       ├── app.js
│       └── package.json
├── monitoring/
│   ├── prometheus.yml
│   ├── grafana/
│   └── logstash/
│       ├── app1.conf
│       └── app2.conf
├── mcp-server/
│   ├── app.py              # Control plane
│   └── requirements.txt
└── docker-compose.yml

💡 How the AI Integration Works

def analyze_incident(self, error_log):
    prompt = f"""
    Analyze this Docker container error:
    {error_log}
    
    Suggest remediation steps in JSON format with:
    - root_cause
    - steps[]
    - confidence_score
    """
    
    response = requests.post(
        self.deepseek_url,
        headers={"Authorization": f"Bearer {self.api_key}"},
        json={"model": "deepseek-chat", "messages": [{"role": "user", "content": prompt}]}
    )
    return response.json()

🆘 Support

For issues, please:

1. Check container logs

docker-compose logs --tail=100

2. Open a GitHub Issue
3. Include your docker-compose version output