Disaster Recovery using Hybrid Pilot Light - Active/Active And Placement Strategy

Ingale, Sachin Dhanaji (2023) Disaster Recovery using Hybrid Pilot Light - Active/Active And Placement Strategy. Masters thesis, Dublin, National College of Ireland.

Preview	PDF (Master of Science) Download (1MB) | Preview
Preview	PDF (Configuration Manual) Download (2MB) | Preview

Abstract

This research describes a unique hybrid pilot light and active-active disaster recovery technique for ensuring the robustness and high availability of AWS-deployed workloads. Fueled by the critical need for strong disaster recovery solutions in the face of unplanned disasters, the report investigates the development and analysis of a hybrid system comprising the primary as well as the secondary regions. The architecture makes use of Amazon Web Services (AWS) CloudFormation, RDS, Elastic Beanstalk, and S3 to create two different environments, each with its own Virtual Private Cloud (VPC). The primary region acts as a production environment, whereas the secondary region acts as a failover backup. This research paper thoroughly describes the methods for provision of both primary as well as secondary environments, pointing out the need for already configured CloudFormation templates. Two evaluations, based on the Recovery Time Objective (RTO) and the Recovery Point Objective (RPO), demonstrate the infrastructure’s ability to fulfill the targeted recovery objectives. The secondary region has a significantly lower RTO than the primary, indicating the higher fault tolerance of the proposed hybrid method.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Makki, Ahmed UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	28 Mar 2025 11:50
Last Modified:	28 Mar 2025 11:50
URI:	https://norma.ncirl.ie/id/eprint/7347

Actions (login required)

View Item