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Original Article

A Novel Stateful Orchestration Pattern for Data Affinity and Transactional Integrity in Sharded Backend Architectures

Janardhan Reddy Chejarla1
Independent Researcher, USA

Published Online: January-April 2026

Pages: 41-43

References

1. Kleppmann, M. Designing Data-Intensive Applications: The Big Ideas behind Reliable, Scalable, and Maintainable Systems. Sebastopol, CA: O'Reilly Media, 2017.
2. Post, G., et al. "Data Sharding Patterns in Financial Systems." IEEE Transactions on Cloud Computing, vol. 12, no. 1, pp. 45-58, 2024.
3. Janardhan Chejarla. "Spring Batch Database-Backed Clustered Partitioning: A lightweight Coordination Framework for Distributed Job Execution." TechRxiv Preprint, 2025. [Online]. Available: https://d197for5662m48.cloudfront.net/documents/publicationstatus/270851/preprint_pdf/498745eb5d16f1207c35b04c9e4f1d8f.pdf
4. Stonebraker, M. "The Case for Shared-Nothing." IEEE Database Engineering, vol. 9, no. 1, pp. 4-9, 1986.
5. Helland, P. "Life beyond Distributed Transactions: An Apostate's Opinion." Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research (CIDR), pp. 132-141, 2007.
6. Dean, J., and Barroso, L. A. "The Tail at Scale." Communications of the ACM, vol. 56, no. 2, pp. 74-80, Feb. 2013.
7. Karger, D., et al. "Consistent Hashing and Random Trees: Distributed Caching Protocols for Relieving Hot Spots on the World Wide Web." Proceedings of the Twenty-ninth Annual ACM Symposium on Theory of Computing (STOC), pp. 654-663, 1997.
8. Richardson, C. Microservices Patterns: With Examples in Java. Shelter Island, NY: Manning Publications, 2018.
9. Indrasiri, K., and Kuruppu, D. gRPC: Up and Running: Building Cloud Native Applications with Go and Java for Docker and Kubernetes. Sebastopol, CA: O'Reilly Media, 2020

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