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Amazon RDS (Relational Database Service) is a powerful and scalable database service offered by AWS, but sometimes, for compliance or security reasons, you need to encrypt an existing unencrypted database instance. In this article, we'll walk through a Python script that automates the process of migrating an unencrypted Amazon RDS instance to an encrypted one.
Encryption of RDS instances ensures that data at rest is secure and meets various compliance requirements, such as PCI DSS, HIPAA, and more. Encryption ensures that backups, snapshots, and the underlying storage of your RDS database are encrypted automatically.
However, you cannot enable encryption on an existing unencrypted RDS instance directly. Instead, you must create a snapshot, copy that snapshot with encryption enabled, and then restore a new RDS instance from the encrypted snapshot.
This is what we'll automate in this tutorial.
To follow along with this guide, you'll need:
pip install boto3
You'll also need the following AWS credentials:
This Python script automates the following steps:
import boto3 import time from botocore.exceptions import WaiterError class RDSEncryptionMigrator: def __init__(self, source_db_identifier, target_db_identifier, kms_key_alias, region='us-east-1'): self.source_db_identifier = source_db_identifier self.target_db_identifier = target_db_identifier self.kms_key_alias = kms_key_alias if kms_key_alias.startswith('alias/') else f'alias/{kms_key_alias}' self.region = region self.rds_client = boto3.client('rds', region_name=region) self.kms_client = boto3.client('kms', region_name=region) def get_kms_key_id(self): """Get the KMS key ID from the alias""" try: response = self.kms_client.describe_key( KeyId=self.kms_key_alias ) return response['KeyMetadata']['Arn'] except Exception as e: print(f"Error getting KMS key ID from alias: {e}") raise def create_snapshot(self, snapshot_identifier): print(f"Creating snapshot of source database: {self.source_db_identifier}") response = self.rds_client.create_db_snapshot( DBSnapshotIdentifier=snapshot_identifier, DBInstanceIdentifier=self.source_db_identifier ) # Wait for snapshot to be available waiter = self.rds_client.get_waiter('db_snapshot_available') try: waiter.wait( DBSnapshotIdentifier=snapshot_identifier, WaiterConfig={'Delay': 30, 'MaxAttempts': 60} ) except WaiterError as e: print(f"Error waiting for snapshot: {e}") raise return response['DBSnapshot']['DBSnapshotArn'] def create_encrypted_snapshot_copy(self, source_snapshot_id, encrypted_snapshot_id): print("Creating encrypted copy of snapshot") kms_key_id = self.get_kms_key_id() response = self.rds_client.copy_db_snapshot( SourceDBSnapshotIdentifier=source_snapshot_id, TargetDBSnapshotIdentifier=encrypted_snapshot_id, KmsKeyId=kms_key_id, CopyTags=True, SourceRegion=self.region ) # Wait for encrypted snapshot to be available waiter = self.rds_client.get_waiter('db_snapshot_available') try: waiter.wait( DBSnapshotIdentifier=encrypted_snapshot_id, WaiterConfig={'Delay': 30, 'MaxAttempts': 60} ) except WaiterError as e: print(f"Error waiting for encrypted snapshot: {e}") raise return response['DBSnapshot']['DBSnapshotArn'] def restore_from_snapshot(self, snapshot_identifier): print(f"Restoring new encrypted database from snapshot") # Get source DB instance details source_db = self.rds_client.describe_db_instances( DBInstanceIdentifier=self.source_db_identifier )['DBInstances'][0] # Restore the encrypted instance response = self.rds_client.restore_db_instance_from_db_snapshot( DBInstanceIdentifier=self.target_db_identifier, DBSnapshotIdentifier=snapshot_identifier, DBInstanceClass=source_db['DBInstanceClass'], VpcSecurityGroupIds=self._get_security_group_ids(source_db), DBSubnetGroupName=source_db['DBSubnetGroup']['DBSubnetGroupName'], PubliclyAccessible=source_db['PubliclyAccessible'], MultiAZ=source_db['MultiAZ'] ) # Wait for the new instance to be available waiter = self.rds_client.get_waiter('db_instance_available') try: waiter.wait( DBInstanceIdentifier=self.target_db_identifier, WaiterConfig={'Delay': 30, 'MaxAttempts': 60} ) except WaiterError as e: print(f"Error waiting for database restoration: {e}") raise return response['DBInstance']['DBInstanceArn'] def _get_security_group_ids(self, db_instance): return [sg['VpcSecurityGroupId'] for sg in db_instance['VpcSecurityGroups']] def perform_encryption(self): try: # Create timestamp for unique identifiers timestamp = int(time.time()) # Step 1: Create initial snapshot snapshot_id = f"{self.source_db_identifier}-snapshot-{timestamp}" self.create_snapshot(snapshot_id) # Step 2: Create encrypted copy of the snapshot encrypted_snapshot_id = f"{self.source_db_identifier}-encrypted-snapshot-{timestamp}" self.create_encrypted_snapshot_copy(snapshot_id, encrypted_snapshot_id) # Step 3: Restore from encrypted snapshot self.restore_from_snapshot(encrypted_snapshot_id) print(f""" Encryption process completed successfully! New encrypted database instance: {self.target_db_identifier} Next steps: 1. Verify the new encrypted instance 2. Update your application connection strings 3. Once verified, you can delete the old unencrypted instance """) except Exception as e: print(f"Error during encryption process: {e}") raise def main(): # These values should ideally come from environment variables or command line arguments source_db_identifier = 'database-2' target_db_identifier = 'database-2-enc' kms_key_alias = 'aws/rds' region = 'us-east-1' migrator = RDSEncryptionMigrator( source_db_identifier=source_db_identifier, target_db_identifier=target_db_identifier, kms_key_alias=kms_key_alias, region=region ) migrator.perform_encryption() if __name__ == '__main__': main()
The script defines a class RDSEncryptionMigrator which handles:
By using the script provided, you can automate the encryption process for your RDS databases and ensure that your data is secure. This approach eliminates the need for manual intervention and reduces the risk of human error in the migration process. Make sure to verify the new encrypted instance, update your application connection strings, and remove the old unencrypted instance once you’re ready.
If you're looking to scale this further, you can integrate this script with AWS Lambda or AWS Step Functions to automate the process further within your CI/CD pipeline.
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