Developing a BCDR Solution with Azure for Cloud-Based Applications Across Geographies
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Keywords

BCDR, RTO, RPO, ransomware, data loss, disaster recovery, business continuity, Azure

How to Cite

[1]
Vijay Kartik Sikha, “Developing a BCDR Solution with Azure for Cloud-Based Applications Across Geographies”, N. American. J. of Engg. Research, vol. 5, no. 2, Jun. 2024, Accessed: Sep. 19, 2024. [Online]. Available: https://najer.org/najer/article/view/50

Abstract

Business Continuity and Disaster Recovery (BCDR) strategies are critical for organizations across various industries. In this article, we explore the fundamental tenets of BCDR solutions, considering different application types (enterprise, web, internal), regulatory requirements, and architectural layers (web vs. data). We delve into key metrics like Recovery Time Objective (RTO) and Recovery Point Objective (RPO), emphasizing their significance in achieving robust BCDR. The advent of cloud computing and Software-as-a-Service (SaaS) platforms has revolutionized BCDR practices and Azure provides several such services. We analyze how large enterprises, with decades of industry experience, differ from digital natives in their BCDR approaches. Geographical redundancy, facilitated by cloud providers, plays a pivotal role in ensuring data availability and resilience. We also discuss emerging trends and disruptive innovations in the BCDR landscape. Skillsets required for BCDR implementation span multi-cloud, hybrid, and on-premises environments. We outline the expertise needed for designing, testing, and maintaining BCDR solutions. Additionally, we highlight the cost-effectiveness of cloud-based BCDR services and identify scenarios where on-premises solutions remain relevant. In conclusion, organizations must invest in IT skill development, prioritize mission-critical applications, and strike a balance between cost and performance. Whether an enterprise or a small business, strategic BCDR planning is essential for long-term resilience and continuity.

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Creative Commons License

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Copyright (c) 2024 North American Journal of Engineering Research

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