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This repository contains a comprehensive implementation of a Cloud-Based Disaster Recovery (DR) Solution designed for enterprises. The solution focuses on ensuring data integrity, minimizing downtime, and automating recovery processes in the event of a system failure.

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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.


Cloning the Repository

To clone this project, follow these steps:

  1. Ensure Git is Installed
    Make sure you have Git installed on your system. If not, you can download it from Git Official Website.

  2. Clone the Repository
    Run the following command in your terminal or command prompt:

    git clone https://github.com/atulkamble/cloud-dr-solution-enterprises.git
  3. Navigate to the Project Directory
    After cloning, move into the project directory:

    cd cloud-dr-solution-enterprises

1. Project Overview

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.

2. Solution Components

  • 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.

3. Implementation Steps

A. Infrastructure Setup

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

B. Data Backup

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.

C. Database Replication

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

D. DNS Failover

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
    }'

E. Recovery Automation

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.

4. Testing the DR Solution

  1. Simulate a failure (stop primary EC2 instance or RDS instance).
  2. Validate that backups are accessible in the S3 bucket.
  3. Check that Route 53 routes traffic to the secondary instance.
  4. Ensure the Lambda function automatically triggers recovery steps.

5. Deployment

  • 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?

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This repository contains a comprehensive implementation of a Cloud-Based Disaster Recovery (DR) Solution designed for enterprises. The solution focuses on ensuring data integrity, minimizing downtime, and automating recovery processes in the event of a system failure.

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