Article contents
Zero-Downtime Cloud Migration Strategies for Enterprise-Scale Databases: Architectural Patterns and Implementation Frameworks
Abstract
Zero-downtime database migration is critical for enterprises transitioning from on-premises systems to cloud platforms without disrupting business operations. This article proposes architectural patterns and implementation frameworks designed to support the seamless transfer of large-scale databases—ranging from terabytes to petabytes—while maintaining continuous availability. It examines multiple migration strategies, including lift-and-shift, re-platforming, and re-architecting, each evaluated for complexity, risk, and transformation value. The proposed frameworks integrate real-time data replication, change data capture, and dual-write mechanisms to ensure data consistency throughout the migration lifecycle. High-availability techniques such as blue-green deployments and canary releases provide rollback options and reduce risk. Pre-migration analysis covers system dependencies, baseline performance metrics, and compatibility assessments. Migration workflows are optimized using bandwidth-efficient data transfer methods, including compression, parallelization, and smart scheduling. Robust security practices enforce end-to-end encryption and regulatory compliance. Automated validation processes verify data fidelity through checksums, row-level comparisons, and sample queries. Case studies from financial, healthcare, and retail sectors illustrate the application of these patterns and highlight domain-specific success factors. Performance metrics—such as latency, throughput, and consistency—offer quantitative validation. A cost-benefit analysis reveals that investments in zero-downtime strategies mitigate revenue risks and enhance customer retention. This work enables enterprises to realize cloud benefits—such as scalability, resiliency, and analytics—without compromising operational continuity.
Article information
Journal
Journal of Computer Science and Technology Studies
Volume (Issue)
7 (7)
Pages
859-865
Published
Copyright
Open access

This work is licensed under a Creative Commons Attribution 4.0 International License.