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DevOps Automation Suite

A comprehensive collection of automation scripts for DevOps tasks including deployment automation, server monitoring, backup management, and CI/CD pipeline utilities.

Features

• Deployment Automation: Automated deployment scripts for various platforms
• Server Monitoring: Real-time server health checks and alerts
• Backup Management: Automated backup and restoration utilities
• Log Analysis: Parse and analyze application logs
• Docker Utilities: Container management and orchestration helpers
• Database Tools: Database backup and migration automation
• SSL Management: Certificate renewal and management
• Git Operations: Automated git workflows and hooks

Technologies Used

• Python 3.8+
• Bash scripting
• Docker & Docker Compose
• Git
• SSH/SCP
• Cron jobs

Installation

pip install -r requirements.txt

Configuration

Create a config.yaml file:

servers:
  - name: production
    host: example.com
    user: admin
    port: 22
    key_path: ~/.ssh/id_rsa

monitoring:
  check_interval: 300
  alert_email: admin@example.com

backup:
  destination: /backups
  retention_days: 30

Scripts

1. Deployment Automation (deploy.py)

Automated deployment to multiple servers:

python deploy.py --environment production --branch main

Features:

• Git pull from repository
• Build and test
• Zero-downtime deployment
• Rollback capability
• Health checks

2. Server Monitor (monitor.py)

Real-time server monitoring:

python monitor.py --continuous

Monitors:

• CPU usage
• Memory usage
• Disk space
• Network traffic
• Process status
• Service health

3. Backup Manager (backup.py)

Automated backup solution:

python backup.py --type full --compress

Features:

• Database backups
• File system backups
• Incremental backups
• Compression
• Remote storage
• Automated cleanup

4. Log Analyzer (log_analyzer.py)

Parse and analyze logs:

python log_analyzer.py --file /var/log/app.log --errors-only

Features:

• Error detection
• Pattern matching
• Statistics generation
• Alert on anomalies

5. Docker Manager (docker_manager.py)

Docker container management:

python docker_manager.py --action restart --service webapp

Features:

• Container health checks
• Automatic restarts
• Resource monitoring
• Image cleanup
• Volume management

Project Structure

devops-automation-suite/
├── scripts/
│   ├── deploy.py           # Deployment automation
│   ├── monitor.py          # Server monitoring
│   ├── backup.py           # Backup management
│   ├── log_analyzer.py     # Log analysis
│   └── docker_manager.py   # Docker utilities
├── utils/
│   ├── ssh_client.py       # SSH operations
│   ├── email_notifier.py   # Email notifications
│   ├── logger.py           # Logging utilities
│   └── config_loader.py    # Configuration management
├── config.yaml.example     # Example configuration
└── README.md

Usage Examples

Deploy to Production

# Deploy specific version
python scripts/deploy.py --env production --tag v1.2.3

# Deploy with rollback on failure
python scripts/deploy.py --env staging --rollback-on-error

Monitor Servers

# One-time check
python scripts/monitor.py --check-once

# Continuous monitoring with alerts
python scripts/monitor.py --continuous --alert-threshold 80

Backup Databases

# Full backup
python scripts/backup.py --type database --databases all

# Incremental backup
python scripts/backup.py --type incremental --since yesterday

Analyze Logs

# Find errors in last hour
python scripts/log_analyzer.py --since "1 hour ago" --level ERROR

# Generate report
python scripts/log_analyzer.py --report --output report.html

Scheduling with Cron

Add to crontab for automation:

# Backup every day at 2 AM
0 2 * * * /usr/bin/python3 /path/to/backup.py --type full

# Monitor every 5 minutes
*/5 * * * * /usr/bin/python3 /path/to/monitor.py --check-once

# Clean old logs weekly
0 0 * * 0 /usr/bin/python3 /path/to/log_analyzer.py --cleanup

Security Considerations

• Store credentials in environment variables
• Use SSH keys instead of passwords
• Encrypt sensitive configuration
• Implement proper logging
• Regular security audits

Future Enhancements

• Kubernetes support
• Cloud provider integration (AWS, Azure, GCP)
• Terraform automation
• Ansible playbook generation
• Slack/Discord notifications
• Web dashboard
• Multi-cloud support