Automated Backup & Disaster Recovery
Automated backup and disaster recovery ensures business continuity by protecting data and applications from failures, disasters, or outages.
Why Backup & DR Matters
- Data Protection: Prevent loss due to accidental deletion or corruption
- High Availability: Reduce downtime during failures
- Regulatory Compliance: Meet data retention policies
- Business Continuity: Ensure operations can resume quickly
Workflow Example
- Schedule automated backups (databases, configurations, applications)
- Store backups in multiple locations (cloud, on-prem)
- Test recovery procedures regularly
- Automate failover and disaster recovery scripts
- Monitor backup success and restore times
Visual Diagram
flowchart TD
A[Application & DB] --> B[Automated Backup]
B --> C[Cloud Storage / Offsite]
D[Test Recovery] --> E[DR Drill]
B --> F[Monitoring & Alerts]
F --> G[DevOps Team Notification]
Sample Code Snippet
import boto3
from datetime import datetime
s3 = boto3.client('s3')
def backup_to_s3(file_name, bucket_name):
timestamp = datetime.now().strftime("%Y%m%d%H%M%S")
s3_key = f"backups/{file_name}_{timestamp}.bak"
s3.upload_file(file_name, bucket_name, s3_key)
print(f"Backup {file_name} uploaded to {s3_key} in bucket {bucket_name}")
# Usage
backup_to_s3('database.db', 'my-backup-bucket')
Sample AWS Backup Automation (CLI)
# Create daily backup of RDS
aws rds create-db-snapshot \
--db-instance-identifier mydb \
--db-snapshot-identifier mydb-backup-$(date +%F)
Best Practices
- Automate backup schedules and retention
- Test restore procedures periodically
- Store backups across regions or providers
- Monitor backup failures and resolve issues promptly
Common Pitfalls
- Backup failures unnoticed due to lack of monitoring
- Infrequent DR drills
- Single-location backup risking data loss
Conclusion
Automated backup and disaster recovery provides reliable data protection and operational continuity, critical for resilient DevOps pipelines.