Startup Scripts

#cloud-config
# Update package database and install essential packages
packages:
  - curl
  - git
  - build-essential
  - python3-pip
 
# Run commands on first boot
runcmd:
  - echo "Instance setup started" >> /var/log/startup.log
  - apt-get update
  - systemctl enable docker
  - echo "Setup complete" >> /var/log/startup.log

#cloud-config
# Install Docker and Docker Compose
packages:
  - apt-transport-https
  - ca-certificates
  - curl
  - gnupg
  - lsb-release
 
runcmd:
  - curl -fsSL https://get.docker.com -o get-docker.sh
  - sh get-docker.sh
  - usermod -aG docker ubuntu
  - curl -L "https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
  - chmod +x /usr/local/bin/docker-compose
  - systemctl enable docker
  - systemctl start docker

#cloud-config
# Setup NVIDIA drivers and CUDA
packages:
  - build-essential
  - linux-headers-$(uname -r)
 
runcmd:
  # Add NVIDIA package repositories
  - wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
  - dpkg -i cuda-keyring_1.0-1_all.deb
  - apt-get update
  
  # Install CUDA and drivers
  - apt-get install -y cuda-toolkit-12-2
  - apt-get install -y nvidia-driver-535
  
  # Install nvidia-docker
  - distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
  - curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | apt-key add -
  - curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | tee /etc/apt/sources.list.d/nvidia-docker.list
  - apt-get update && apt-get install -y nvidia-docker2
  - systemctl restart docker
  
  # Verify installation
  - nvidia-smi >> /var/log/gpu-setup.log

#cloud-config
# Machine Learning environment setup
packages:
  - python3-pip
  - python3-dev
  - python3-venv
  - git
  - wget
  - tmux
 
runcmd:
  # Create virtual environment
  - python3 -m venv /opt/ml-env
  - source /opt/ml-env/bin/activate
  
  # Install ML frameworks
  - pip install --upgrade pip
  - pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
  - pip install transformers datasets accelerate
  - pip install jupyter notebook
  
  # Setup Jupyter
  - jupyter notebook --generate-config
  - echo "c.NotebookApp.ip = '0.0.0.0'" >> ~/.jupyter/jupyter_notebook_config.py
  - echo "c.NotebookApp.allow_remote_access = True" >> ~/.jupyter/jupyter_notebook_config.py
  
  # Create workspace
  - mkdir -p /workspace/models /workspace/datasets /workspace/notebooks
  - echo "ML environment ready" >> /var/log/ml-setup.log

#cloud-config
# Setup monitoring with Prometheus and Grafana
write_files:
  - path: /etc/docker/compose/monitoring/docker-compose.yml
    content: |
      version: '3'
      services:
        prometheus:
          image: prom/prometheus:latest
          ports:
            - "9090:9090"
          volumes:
            - ./prometheus.yml:/etc/prometheus/prometheus.yml
            - prometheus_data:/prometheus
          command:
            - '--config.file=/etc/prometheus/prometheus.yml'
            - '--storage.tsdb.path=/prometheus'
        
        grafana:
          image: grafana/grafana:latest
          ports:
            - "3000:3000"
          volumes:
            - grafana_data:/var/lib/grafana
          environment:
            - GF_SECURITY_ADMIN_PASSWORD=admin
        
        node-exporter:
          image: prom/node-exporter:latest
          ports:
            - "9100:9100"
      
      volumes:
        prometheus_data:
        grafana_data:

#!/bin/bash
# Traditional shell script format (will be converted to cloud-init)
 
# Update system
apt-get update && apt-get upgrade -y
 
# Install essential packages
apt-get install -y \
    build-essential \
    curl \
    wget \
    git \
    vim \
    htop
 
# Create directories
mkdir -p /opt/app /var/log/app
 
# Set up environment variables
echo "export APP_HOME=/opt/app" >> /etc/environment
echo "export NODE_ENV=production" >> /etc/environment
 
# Clone repository (example)
cd /opt/app
git clone https://github.com/example/app.git .
 
# Install dependencies and start service
npm install
npm run build
npm start
 
# Log completion
echo "Setup completed at $(date)" >> /var/log/setup.log

#!/bin/bash
set -e  # Exit on error
 
echo "Setup started" >> /var/log/startup.log
apt-get update || { echo "Failed"; exit 1; }
echo "Setup completed" >> /var/log/startup.log

# Check cloud-init logs
cat /var/log/cloud-init.log
cat /var/log/cloud-init-output.log