Implement Automated, Secure, and AI-Enhanced File Transfer and Update Process Between Servers

[krishna-humanlogic]

Overview

This issue proposes implementing an automated, secure, and AI-enhanced process to transfer files from one server to another, followed by updating those files on the destination server. The solution should leverage command-line tools, modern DevOps practices, and AI-powered automation and monitoring for reliability and maintainability.

Key Requirements

• Automated File Transfer: Use tools such as rsync or scp with robust error handling and retry logic.
• Security Best Practices: Employ SSH key-based authentication, periodic key rotation, and firewall control. Integrate AI-driven security recommendations.
• Automation Frameworks: Consider Ansible, shell scripts, or CI/CD pipelines for orchestration. Use AI code assistants for script optimization.
• File Integrity Validation: After transfer, use checksum verification and automated update logic.
• Monitoring & Alerting: Integrate AI-powered monitoring for transfer failures, performance, and security events. Send notifications on success/failure.
• Documentation & Logging: Auto-generate documentation and maintain detailed logs for auditing and troubleshooting.

Suggested Workflow

# Example shell script fragment
rsync -avz --progress user@source-server:/path/to/files/ /path/to/destination/
if [ $? -eq 0 ]; then
  echo "Transfer successful" | mail -s "File Transfer Notification" [email protected]
else
  echo "Transfer failed, retrying..."; sleep 5; # Retry logic
fi

AI Tools & Integration

• Use GitHub Copilot, ChatGPT, or Claude for script generation and optimization
• Integrate AI-powered monitoring tools (Prometheus, Grafana, etc.)
• Implement automated tests for file integrity

Security Considerations

• Ensure data is encrypted in transit and at rest
• Apply strict access controls and periodic audits

Acceptance Criteria

• Reliable and secure transfer and update process between servers
• Automated error handling and monitoring
• Comprehensive documentation

---

If there are specific requirements or preferred automation tools, please specify for further tailoring.

Example Implementation

AI-Enhanced File Transfer Script

#!/bin/bash
set -euo pipefail
SOURCE_SERVER="[email protected]"
DEST_SERVER="[email protected]"
SOURCE_PATH="/path/to/source/files"
DEST_PATH="/path/to/destination/files"
MAX_RETRIES=3
RETRY_DELAY=5

transfer_with_retry() {
    local attempt=1
    local success=false
    while [[ $attempt -le $MAX_RETRIES ]] && [[ $success == false ]]; do
        if rsync -avz --progress "$SOURCE_SERVER:$SOURCE_PATH/" "$DEST_PATH/"; then
            echo "Transfer successful on attempt $attempt"
            success=true
            return 0
        fi
        echo "Attempt $attempt failed, retrying..."
        sleep $RETRY_DELAY
        ((attempt++))
    done
    return 1
}

transfer_with_retry

Integrity Check Example

ssh "$SOURCE_SERVER" "find $SOURCE_PATH -type f -exec md5sum {} \; | sort" > source_checksums.txt
find "$DEST_PATH" -type f -exec md5sum {} \; | sort > dest_checksums.txt
diff source_checksums.txt dest_checksums.txt

Monitoring Example (Python)

import subprocess, logging
logging.basicConfig(level=logging.INFO)
def monitor():
    result = subprocess.run(['tail', '-n', '10', '/var/log/file-transfer.log'], capture_output=True, text=True)
    if 'Transfer successful' in result.stdout:
        logging.info("Transfer OK")
    else:
        logging.warning("Transfer issue detected")
monitor()

GitHub Actions Workflow

name: AI-Enhanced File Transfer
on:
  schedule:
    - cron: '0 */6 * * *'
jobs:
  transfer-files:
    runs-on: ubuntu-latest
    steps:
    - name: Setup SSH
      uses: webfactory/[email protected]
      with:
        ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }}
    - name: Install dependencies
      run: sudo apt-get install -y rsync
    - name: Execute file transfer
      run: ./ai-file-transfer.sh

These implementation examples are provided to help guide the automation and integration process.

[github-actions[bot]]

👋 Thank you for raising an issue! We appreciate your effort in helping us improve. Our team will review it shortly. Stay tuned!