Integrating MLOps Pipelines with DevOps for Seamless Model Deployment and Continuous Delivery

Authors

  • Dr. Andrew Coleman , Associate Professor, Department of Computer Science, University of Edinburgh, Edinburgh, UK Author

Keywords:

MLOps, DevOps, Continuous Delivery, Model Deployment, CI/CD, Version Control, Automation

Abstract

The integration of Machine Learning Operations (MLOps) with DevOps frameworks is transforming the way artificial intelligence (AI) models are deployed and maintained in production environments. By aligning MLOps pipelines with existing DevOps practices, organizations can ensure a seamless model deployment process, continuous integration, and continuous delivery (CI/CD) of AI-driven applications. This paper explores the architecture and methodology for integrating MLOps with DevOps, focusing on overcoming challenges in deployment automation, version control, and scalability. It highlights the importance of automating model retraining and monitoring, and presents case studies of successful implementations. By combining the best practices of both MLOps and DevOps, organizations can enhance their ability to deploy machine learning (ML) models in production more efficiently and with greater reliability.

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References

Gayam, Swaroop Reddy. "Deep Learning for Autonomous Driving: Techniques for Object Detection, Path Planning, and Safety Assurance in Self-Driving Cars." Journal of AI in Healthcare and Medicine 2.1 (2022): 170-200.

Thota, Shashi, et al. "MLOps: Streamlining Machine Learning Model Deployment in Production." African Journal of Artificial Intelligence and Sustainable Development 2.2 (2022): 186-206.

Nimmagadda, Venkata Siva Prakash. "Artificial Intelligence for Real-Time Logistics and Transportation Optimization in Retail Supply Chains: Techniques, Models, and Applications." Journal of Machine Learning for Healthcare Decision Support 1.1 (2021): 88-126.

Putha, Sudharshan. "AI-Driven Predictive Analytics for Supply Chain Optimization in the Automotive Industry." Journal of Science & Technology 3.1 (2022): 39-80.

Sahu, Mohit Kumar. "Advanced AI Techniques for Optimizing Inventory Management and Demand Forecasting in Retail Supply Chains." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 190-224.

Kasaraneni, Bhavani Prasad. "AI-Driven Solutions for Enhancing Customer Engagement in Auto Insurance: Techniques, Models, and Best Practices." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 344-376.

Kondapaka, Krishna Kanth. "AI-Driven Inventory Optimization in Retail Supply Chains: Advanced Models, Techniques, and Real-World Applications." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 377-409.

Kasaraneni, Ramana Kumar. "AI-Enhanced Supply Chain Collaboration Platforms for Retail: Improving Coordination and Reducing Costs." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 410-450.

Pattyam, Sandeep Pushyamitra. "Artificial Intelligence for Healthcare Diagnostics: Techniques for Disease Prediction, Personalized Treatment, and Patient Monitoring." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 309-343.

Kuna, Siva Sarana. "Utilizing Machine Learning for Dynamic Pricing Models in Insurance." Journal of Machine Learning in Pharmaceutical Research 4.1 (2024): 186-232.

Sengottaiyan, Krishnamoorthy, and Manojdeep Singh Jasrotia. "SLP (Systematic Layout Planning) for Enhanced Plant Layout Efficiency." International Journal of Science and Research (IJSR) 13.6 (2024): 820-827.

Venkata, Ashok Kumar Pamidi, et al. "Implementing Privacy-Preserving Blockchain Transactions using Zero-Knowledge Proofs." Blockchain Technology and Distributed Systems 3.1 (2023): 21-42.

Reddy, Amit Kumar, et al. "DevSecOps: Integrating Security into the DevOps Pipeline for Cloud-Native Applications." Journal of Artificial Intelligence Research and Applications 1.2 (2021): 89-114.

G. E. Hinton et al., "Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups," IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 82-97, Nov. 2012.

R. Collobert and J. Weston, "A unified architecture for natural language processing: Deep neural networks with multitask learning," in Proceedings of the 25th International Conference on Machine Learning, 2008, pp. 160-167.

M. Abadi et al., "TensorFlow: A system for large-scale machine learning," in Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), 2016, pp. 265-283.

Y. Zhang and Q. Yang, "A survey on multi-task learning," IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 12, pp. 5586-5609, Dec. 2022.

Y. Wang, Q. Chen, and W. Zhu, "Zero-shot learning: A comprehensive review," IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 7, pp. 2172-2188, Jul. 2019.

D. Bahdanau, K. Cho, and Y. Bengio, "Neural machine translation by jointly learning to align and translate," in Proceedings of the 3rd International Conference on Learning Representations (ICLR), 2015.

M. I. Jordan and T. M. Mitchell, "Machine learning: Trends, perspectives, and prospects," Science, vol. 349, no. 6245, pp. 255-260, 2015.

J. Devlin, M. W. Chang, K. Lee, and K. Toutanova, "BERT: Pre-training of deep bidirectional transformers for language understanding," in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019, pp. 4171-4186.

A. Vaswani et al., "Attention is all you need," in Proceedings of the 31st International Conference on Neural Information Processing Systems (NeurIPS), 2017, pp. 5998-6008.

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Published

07-10-2024

How to Cite

[1]
Dr. Andrew Coleman, “Integrating MLOps Pipelines with DevOps for Seamless Model Deployment and Continuous Delivery”, Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, pp. 87–94, Oct. 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/168

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