Cloud-based Disaster Recovery Solutions for Enterprises
Creating a Cloud-Based Disaster Recovery Solution involves several components like setting up backup processes, implementing recovery plans, and automating failover mechanisms. Below is a structured project outline with code snippets for a basic Disaster Recovery (DR) solution leveraging AWS services like S3, EC2, RDS, and CloudFormation.
To clone this project, follow these steps:
-
Ensure Git is Installed
Make sure you have Git installed on your system. If not, you can download it from Git Official Website. -
Clone the Repository
Run the following command in your terminal or command prompt:git clone https://github.com/atulkamble/cloud-dr-solution-enterprises.git
-
Navigate to the Project Directory
After cloning, move into the project directory:cd cloud-dr-solution-enterprises
This solution focuses on:
- Regularly backing up critical data and applications.
- Automating the recovery process in case of failures.
- Ensuring minimal downtime with cost-effective solutions.
- Data Backup: Using AWS S3 to store backups.
- Infrastructure as Code (IaC): Using AWS CloudFormation or Terraform.
- Automated Failover: Route 53 for DNS failover.
- Database Replication: RDS Multi-AZ or read replicas.
CloudFormation Template to Define Resources
Resources:
PrimaryEC2Instance:
Type: AWS::EC2::Instance
Properties:
InstanceType: t2.micro
ImageId: ami-0abcdef1234567890 # Replace with valid AMI ID
KeyName: my-key-pair
SecurityGroups:
- !Ref InstanceSecurityGroup
BackupS3Bucket:
Type: AWS::S3::Bucket
Properties:
BucketName: disaster-recovery-backups
InstanceSecurityGroup:
Type: AWS::EC2::SecurityGroup
Properties:
GroupDescription: Enable SSH access
SecurityGroupIngress:
- IpProtocol: tcp
FromPort: 22
ToPort: 22
CidrIp: 0.0.0.0/0
Backup Script for EC2 Instance
#!/bin/bash
# Define variables
BACKUP_DIR="/var/www/html"
S3_BUCKET="disaster-recovery-backups"
TIMESTAMP=$(date +"%Y-%m-%d-%H-%M-%S")
BACKUP_FILE="backup-$TIMESTAMP.tar.gz"
# Create a compressed archive of the backup directory
tar -czvf /tmp/$BACKUP_FILE $BACKUP_DIR
# Upload to S3
aws s3 cp /tmp/$BACKUP_FILE s3://$S3_BUCKET/
# Clean up
rm -f /tmp/$BACKUP_FILE
- Schedule this script using a cron job.
RDS Configuration for Automatic Backups
aws rds create-db-instance \
--db-instance-identifier primary-db \
--db-instance-class db.t2.micro \
--engine mysql \
--allocated-storage 20 \
--master-username admin \
--master-user-password mypassword \
--multi-az \
--backup-retention-period 7 \
--storage-type gp2
Route 53 DNS Health Check for Failover
aws route53 create-health-check \
--caller-reference "my-health-check-$(date +%s)" \
--health-check-config '{
"IPAddress": "198.51.100.1",
"Port": 80,
"Type": "HTTP",
"ResourcePath": "/",
"RequestInterval": 30,
"FailureThreshold": 3
}'
Lambda Function for Recovery
import boto3
def lambda_handler(event, context):
ec2 = boto3.client('ec2')
# Start recovery EC2 instance
response = ec2.start_instances(InstanceIds=['i-0abcd1234efgh5678'])
print(f"Recovery Instance started: {response}")
return {
'statusCode': 200,
'body': 'Disaster recovery instance initiated'
}
- Trigger this Lambda function using CloudWatch alarms.
- Simulate a failure (stop primary EC2 instance or RDS instance).
- Validate that backups are accessible in the S3 bucket.
- Check that Route 53 routes traffic to the secondary instance.
- Ensure the Lambda function automatically triggers recovery steps.
- Use CloudFormation or Terraform to deploy all resources.
- Schedule periodic DR drills to ensure the solution is effective.
Would you like me to refine any specific part or create additional scripts?