International Journal on Science and Technology

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Disaster Recovery and High Availability Strategies in Oracle Cloud Infrastructure

Author(s) Sunil Yadav
Country United States
Abstract Oracle Cloud Infrastructure provides comprehensive disaster recovery and high-availability solutions for modern database management. This article examines the critical components and implementation strategies for achieving optimal resilience in cloud-based database environments. Financial impact analysis reveals substantial costs associated with downtime, underscoring the business value of effective DR/HA solutions. Examining OCI's high availability architecture demonstrates how Real Application Clusters, Data Guard, Automatic Storage Management, and Load Balancing work together to eliminate single points of failure. Cross-regional disaster recovery implementations protect against catastrophic events through geographically dispersed resources, while advanced monitoring capabilities enable predictive maintenance and early detection of potential failures. Cost optimization techniques balance resilience requirements with financial constraints through automated scaling, resource rightsizing, and storage tiering. The integration of these components creates a robust framework adaptable to specific business requirements while delivering exceptional availability metrics. This article provides a detailed technical roadmap for Oracle database engineers seeking to design resilient cloud architectures that minimize business disruption and optimize operational expenses by strategically implementing Oracle's Maximum Availability Architecture.
Keywords Database resilience, Oracle Cloud Infrastructure, Disaster Recovery, High availability architecture, Cost optimization
Field Computer
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-04
Cite This Disaster Recovery and High Availability Strategies in Oracle Cloud Infrastructure - Sunil Yadav - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3065
DOI https://doi.org/10.71097/IJSAT.v16.i2.3065
Short DOI https://doi.org/g9dpf6
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