Academic literature on the topic 'Zero-downtime migration'

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Journal articles on the topic "Zero-downtime migration"

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Lama, Ashok. "Seamless Database Migrations: Achieving Zero Downtime." Journal of Software Engineering and Simulation 11, no. 4 (2025): 28–31. https://doi.org/10.35629/3795-11042831.

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This paper examines several strategies for seamless database migrations, such as blue-green deployments, canary releases, and database versioning. By putting these strategies into practice, organizations can guarantee that their applications remain operational during migrations, improving user experience and maintaining business continuity. The results demonstrate the effectiveness of these strategies in minimizing risks and improving overall migration success. This paper discusses the critical importance of achieving zero-downtime during database migrations in modern software development, as
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Tharun Damera. "Zero-Downtime Migration Strategies for Large-Scale Distributed Services." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 179–87. https://doi.org/10.32628/cseit2511123934.

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Zero-downtime migration strategies for large-scale distributed services present significant challenges in maintaining system reliability and user satisfaction. This comprehensive article explores various approaches including progressive traffic shifting, blue-green deployments, and canary releases, focusing on their implementation in modern cloud-native environments. The article examines critical aspects such as data consistency mechanisms, service mesh architectures, automated rollback systems, and orchestrated deployment pipelines. Through detailed investigation of real-world implementations
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Gopalan, Karuppusamy. "Ensuring Seamless Oracle Database Migration: Strategies for Zero - Downtime Cloud Transition." International Journal of Science and Research (IJSR) 14, no. 3 (2025): 590–92. https://doi.org/10.21275/sr25311000756.

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Mahipal Reddy Yalla. "Future of Zero-Downtime Storage Migrations: How AI and Automation are Redefining Data Movement." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 431–37. https://doi.org/10.32996/jcsts.2025.7.5.53.

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Storage migrations have historically been one of the most challenging aspects of IT infrastructure management, requiring extensive downtime and creating significant business disruption. The emergence of artificial intelligence and automation technologies has fundamentally transformed this landscape, enabling near-zero and true-zero downtime approaches that preserve business continuity while modernizing critical infrastructure. This article examines the evolution of storage migration methodologies from traditional high-downtime approaches to contemporary AI-driven frameworks that dramatically r
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Raja, Venkata Sandeep Reddy Davu. "Zero-Downtime Cloud Migration in Healthcare: Ensuring Uninterrupted Patient Care and Data Security." European Journal of Advances in Engineering and Technology 6, no. 8 (2019): 87–94. https://doi.org/10.5281/zenodo.13789684.

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Cloud computing is replacing on-premises IT infrastructure in the healthcare business due to scalability issues and rising data volumes. This study discusses zero-downtime cloud migration in healthcare and how to secure data while maintaining patient care. Zero-downtime migration prevents clinical workflow and patient outcomes interruptions. This comprehensive healthcare cloud migration guide highlights improved disaster recovery, economic efficiency, and flexibility. In the planning phase, the study focuses on assessment, preparedness, strategic planning, and risk assessment. These migration
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Yalla, Mahipal Reddy. "SmartSAN AI: An AI-Powered Framework for Zero-Downtime Storage Area Network Migrations." European Journal of Computer Science and Information Technology 13, no. 32 (2025): 46–54. https://doi.org/10.37745/ejcsit.2013/vol13n324654.

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SmartSAN AI represents a transformative framework designed to address the inherent complexities of Storage Area Network migrations in modern enterprise environments. As organizations increasingly transition to hybrid and multi-vendor storage ecosystems, traditional migration methodologies frequently result in extended downtime windows and significant operational disruption. The framework delivers a comprehensive solution through intelligent automation across the entire migration lifecycle, incorporating advanced machine learning capabilities for discovery, compatibility validation, and orchest
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Kulkarni, Vikas. "Data Migration Strategies In Banking Mergers: Ensuring Zero Downtime." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–6. https://doi.org/10.55041/ijsrem27522.

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Data migration is a critical component of banking mergers, where the seamless integration of disparate systems is essential to ensure operational continuity and customer satisfaction. This paper explores comprehensive strategies to achieve zero-downtime data migration in the context of banking mergers, addressing the unique technological and regulatory challenges faced by financial institutions. Key migration methodologies, including phased approaches, big bang strategies, parallel runs, and blue-green deployments, are analyzed for their applicability and effectiveness in various scenarios. Te
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Researcher. "AUTOMATED DATA MIGRATION IN CLOUD ENVIRONMENTS: CHALLENGES AND SOLUTIONS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 262–74. https://doi.org/10.5281/zenodo.14065654.

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This article presents a comprehensive analysis of the challenges and solutions associated with automated data migration in cloud environments, addressing the critical needs of modern enterprise digital transformation. Through extensive examination of industry practices, emerging technologies, and case studies, we identify key challenges including data integrity preservation, downtime minimization, and business continuity maintenance. While many organizations are adopting cloud-first strategies, successful migration remains a significant challenge, with 40% of projects exceeding planned downtim
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Parate, Vrushali. "Hadoop To Bigquery: Migrating Automotive Data Lakes Without Downtime." American Journal of Interdisciplinary Innovations and Research 07, no. 07 (2025): 16–27. https://doi.org/10.37547/tajiir/volume07issue07-03.

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The automotive industry is undergoing a tremendous increase in data generation, mostly driven by advancements in vehicle technology, connectivity, and autonomous driving features. The Apache Hadoop data lake was adopted by companies to store and analyze the huge volume, velocity, and variety of automotive data. However, with technological advancement and the need for real-time analytics, operational complexity, scalability, and cost efficiency, Apache Hadoop-based data lakes started presenting challenges. Google BigQuery, on the other hand, is a fully managed, serverless data warehouse and ana
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Bhatt, Sachin, and Suman Narne. "Streamlining OS/DB Migrations for SAP Environments: A Comparative Analysis of Tools and Methods." Stallion Journal for Multidisciplinary Associated Research Studies 2, no. 4 (2023): 14–27. https://doi.org/10.55544/sjmars.2.4.3.

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An evaluation of various tools and activities in the process of the OS/DB migrations in SAP context is the goal of this research paper. They assess the major instruments that are SAP Software Update Manager (SUM) together with Oracle Goldengate and migration approaches like Standard Migration also, Near-Zero Downtime Migration (NZDM). Each of the tools is described in terms of the features it offers, advantages, and disadvantages it has in comparison with the other tools, and the real-life applications of the tools are analysed. Examples include best practice examples, which point out and expl
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Book chapters on the topic "Zero-downtime migration"

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Prusinski, Ben, Steve Phillips, and Richard Chung. "Zero-Downtime Migration Replication." In Expert Oracle GoldenGate. Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3567-5_13.

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Ravi Kumar, Y. V., Raghavendra S, and Ankur Goel. "Migration of Databases with Near-Zero Downtime." In Oracle Cloud Infrastructure (OCI) GoldenGate. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0303-1_8.

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Conference papers on the topic "Zero-downtime migration"

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Hai, Jiewen, Cheng Wang, Xusheng Chen, Tsz On Li, Heming Cui, and Sen Wang. "Fulva: Efficient Live Migration for In-Memory Key-Value Stores with Zero Downtime." In 2019 38th Symposium on Reliable Distributed Systems (SRDS). IEEE, 2019. http://dx.doi.org/10.1109/srds47363.2019.00019.

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