Skip to content

Implement Automated, Secure, and AI-Enhanced File Transfer and Update Process Between Servers #2910

@krishna-humanlogic

Description

@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.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions