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Automated disaster recovery automation

Why Choose This Project

Every enterprise running on the cloud needs to be prepared for disaster scenarios like server crashes, data loss, ransomware attacks, or regional outages.
This project builds an automated disaster recovery (DR) system that can detect failures, trigger recovery workflows, and restore services with minimal downtime.
It ensures business continuity, regulatory compliance, and high availability, making it highly valuable in real-world DevOps and cloud operations.

What You Get

  • A complete disaster recovery automation setup.

  • Automated backups, failover, and recovery workflows.

  • Hands-on with Infrastructure-as-Code (IaC) and cloud-native DR tools.

  • Monitoring, alerting, and auto-recovery workflows.

  • Documentation for RPO (Recovery Point Objective) and RTO (Recovery Time Objective).

Key Features

Feature Description
Automated Backup Schedule and replicate backups across regions/clouds
Failover Automation Switch traffic to backup servers during downtime
RPO & RTO Tracking Ensure data and recovery objectives are met
Disaster Simulation Test disaster recovery plans automatically
Multi-Cloud Support Recovery across AWS, Azure, GCP
Monitoring & Alerts Detect failures and trigger DR workflows automatically

Technology Stack

  • IaC Tools: Terraform / Ansible

  • Cloud Platforms: AWS (Route 53, RDS, S3, CloudWatch), GCP, Azure

  • Backup & Storage: AWS S3 / GCP Cloud Storage / Azure Blob

  • Orchestration: Kubernetes (HA setup)

  • CI/CD: GitLab CI/CD / Jenkins pipelines for DR automation

  • Monitoring: Prometheus, Grafana, CloudWatch

Cloud Services Used

  • AWS Route 53 → DNS failover & traffic routing

  • AWS S3 + Glacier → Backup storage & archival

  • AWS RDS Multi-AZ / Read Replicas → Database disaster recovery

  • AWS CloudWatch / GCP Stackdriver / Azure Monitor → Monitoring and failure detection

  • AWS Lambda / GCP Cloud Functions / Azure Functions → Automated recovery scripts

Working Flow

  1. Backup & Replication → Databases, files, and configurations are backed up automatically to a secondary region/cloud.

  2. Monitoring & Detection → CloudWatch/Prometheus detects downtime or failure.

  3. Trigger Recovery → Automation pipeline (Lambda/Terraform/Ansible) spins up replacement resources.

  4. Failover → DNS (Route 53 / Traffic Manager) reroutes traffic to backup instances.

  5. Validation → Health checks verify that the backup system is working.

  6. Notification & Reports → Alerts are sent to DevOps engineers and RPO/RTO metrics are logged.

Main Modules

  1. Backup Management Module – Automated snapshot and replication service

  2. Failover Module – Traffic switching between primary & secondary environments

  3. Monitoring & Alerting Module – Detect failures and trigger automation

  4. Recovery Orchestration Module – IaC scripts to rebuild failed infrastructure

  5. Testing Module – Disaster simulation and drill automation

Security Features

  • Encrypted backups with AES-256

  • IAM-based access control for recovery scripts

  • Immutable storage (S3 Object Lock, Azure Immutable Blob) to protect against ransomware

  • Audit Logs & Compliance for DR processes

  • Multi-factor authentication (MFA) for access to DR console

This Course Fee:

₹ 2599 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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