Comparing the Effectiveness of Different Cloud-based Disaster Recovery Solutions: A Comprehensive Analysis

This article presents a comprehensive analysis of cloud-based disaster recovery (DR) solutions, examining their effectiveness, implementation challenges, and operational implications across diverse organizational contexts. The article evaluates major cloud service providers including Amazon Web Services, Microsoft Azure, Google Cloud Platform, and IBM Cloud, analyzing their technical capabilities, performance metrics, security features, and cost structures. Through extensive analysis of recovery time objectives (RTO), recovery point objectives (RPO), scalability measures, and security parameters, the research provides insights into the strengths and limitations of various cloud-based DR solutions. The article encompasses industry-specific applications across financial services, healthcare, manufacturing, and enterprise sectors, offering detailed perspectives on implementation strategies and risk mitigation approaches. The article reveals significant variations in provider capabilities, with particular emphasis on automation features, compliance frameworks, and cost-effectiveness. The article demonstrates that successful cloud-based DR implementation requires careful alignment of technical capabilities with organizational requirements, supported by robust decision-making frameworks and comprehensive budget planning. This article contributes to the field by providing structured guidance for organizations evaluating and implementing cloud-based DR solutions, while highlighting the importance of industry-specific considerations and risk management strategies in ensuring effective business continuity planning.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-12-10
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.32707
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparing the Effectiveness of Different Cloud-based Disaster Recovery Solutions: A Comprehensive Analysis

Somaning Turwale
International Journal For Multidisciplinary Research
Supply Chain Resilience and Risk Management
article

Comparing the Effectiveness of Different Cloud-based Disaster Recovery Solutions: A Comprehensive Analysis

Somaning Turwale
article en

Abstract

This article presents a comprehensive analysis of cloud-based disaster recovery (DR) solutions, examining their effectiveness, implementation challenges, and operational implications across diverse organizational contexts. The article evaluates major cloud service providers including Amazon Web Services, Microsoft Azure, Google Cloud Platform, and IBM Cloud, analyzing their technical capabilities, performance metrics, security features, and cost structures. Through extensive analysis of recovery time objectives (RTO), recovery point objectives (RPO), scalability measures, and security parameters, the research provides insights into the strengths and limitations of various cloud-based DR solutions. The article encompasses industry-specific applications across financial services, healthcare, manufacturing, and enterprise sectors, offering detailed perspectives on implementation strategies and risk mitigation approaches. The article reveals significant variations in provider capabilities, with particular emphasis on automation features, compliance frameworks, and cost-effectiveness. The article demonstrates that successful cloud-based DR implementation requires careful alignment of technical capabilities with organizational requirements, supported by robust decision-making frameworks and comprehensive budget planning. This article contributes to the field by providing structured guidance for organizations evaluating and implementing cloud-based DR solutions, while highlighting the importance of industry-specific considerations and risk management strategies in ensuring effective business continuity planning.

International Journal For Multidisciplinary ResearchVol. 6(6)
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Supply Chain Resilience and Risk Management
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