Scaling Machine Learning Pipelines in Cloud Infrastructures Using Kubernetes and Flyte

Main Article Content

Hari Gupta
Om Goel

Abstract

- Scaling machine learning (ML) pipelines is a critical challenge in modern cloud infrastructures due to the growing complexity of data processing, model training, and deployment workflows. Kubernetes, a container orchestration platform, provides robust capabilities for managing distributed workloads, enabling seamless scalability and fault tolerance for ML workflows. Flyte, an open-source workflow orchestration platform, enhances Kubernetes by providing specialized tools for managing complex ML pipelines with reproducibility and versioning.


This paper explores the design and implementation of scalable ML pipelines leveraging Kubernetes and Flyte. It highlights the architecture of Flyte's workflow management on Kubernetes clusters, emphasizing key features such as task orchestration, data caching, and scalability. A practical framework is proposed to address common challenges, such as resource optimization, pipeline versioning, and integration with cloud-native services. Real-world use cases demonstrate how Kubernetes and Flyte together simplify the automation of ML pipeline execution, reduce operational overhead, and enable teams to focus on innovation.


The study concludes by discussing best practices and future directions, including advanced scheduling strategies, support for heterogeneous cloud environments, and enhancing developer productivity in ML workflows. This work provides a comprehensive foundation for engineers and researchers aiming to scale ML pipelines effectively in cloud-native ecosystems.

Article Details

How to Cite
Gupta, H., & Goel, O. (2024). Scaling Machine Learning Pipelines in Cloud Infrastructures Using Kubernetes and Flyte. Journal of Quantum Science and Technology (JQST), 1(4), Nov(394–416). Retrieved from https://jqst.org/index.php/j/article/view/135
Section
Original Research Articles

References

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• Rafa Abdul, Aravind Ayyagari, Krishna Kishor Tirupati, Prof. (Dr.) Sandeep Kumar, Prof. (Dr.) MSR Prasad, Prof. (Dr.) Sangeet Vashishtha. 2023. "Automating Change Management Processes for Improved Efficiency in PLM Systems." Iconic Research And Engineering Journals Volume 7 Issue 3, Pages 517–545.

• Gaikwad, Akshay, Srikanthudu Avancha, Vijay Bhasker Reddy Bhimanapati, Om Goel, Niharika Singh, and Raghav Agarwal. “Predictive Maintenance Strategies for Prolonging Lifespan of Electromechanical Components.” International Journal of Computer Science and Engineering (IJCSE) 12(2):323–372. ISSN (P): 2278–9960; ISSN (E): 2278–9979. © IASET.

• Dharuman, Narrain Prithvi, Aravind Sundeep Musunuri, Viharika Bhimanapati, S. P. Singh, Om Goel, and Shalu Jain. “The Role of Virtual Platforms in Early Firmware Development.” International Journal of Computer Science and Engineering (IJCSE) 12(2):295–322. https://doi.org/ISSN2278–9960.

• Gaikwad, Akshay, Dasaiah Pakanati, Dignesh Kumar Khatri, Om Goel, Dr. Lalit Kumar, and Prof. Dr. Arpit Jain. “Reliability Estimation and Lifecycle Assessment of Electronics in Extreme Conditions.” International Research Journal of Modernization in Engineering, Technology, and Science 6(8):3119. Retrieved October 24, 2024 (https://www.irjmets.com).

• Dharuman, Narrain Prithvi, Srikanthudu Avancha, Vijay Bhasker Reddy Bhimanapati, Om Goel, Niharika Singh, and Raghav Agarwal. “Multi Controller Base Station Architecture for Efficient 2G 3G Network Operations.” International Journal of Research in Modern Engineering and Emerging Technology 12(10):106. ISSN: 2320-6586. Online International, Refereed, Peer-Reviewed & Indexed Monthly Journal. www.ijrmeet.org

• Tirupathi, Rajesh, Sneha Aravind, Hemant Singh Sengar, Lalit Kumar, Satendra Pal Singh, and Punit Goel. 2023. Integrating AI and Data Analytics in SAP S/4 HANA for Enhanced Business Intelligence. International Journal of Computer Science and Engineering (IJCSE) 12(1):1–24.

• Tirupathi, Rajesh, Ashish Kumar, Srinivasulu Harshavardhan Kendyala, Om Goel, Raghav Agarwal, and Shalu Jain. 2023. Automating SAP Data Migration with Predictive Models for Higher Data Quality. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 11(8):69.

• Tirupathi, Rajesh, Sneha Aravind, Ashish Kumar, Satendra Pal Singh, Om Goel, and Punit Goel. 2023. Improving Efficiency in SAP EPPM Through AI-Driven Resource Allocation Strategies. International Journal of Current Science (IJCSPUB) 13(4):572.

• Das, Abhishek, Abhijeet Bajaj, Priyank Mohan, Punit Goel, Satendra Pal Singh, and Arpit Jain. 2023. Scalable Solutions for Real-Time Machine Learning Inference in Multi-Tenant Platforms. International Journal of Computer Science and Engineering (IJCSE) 12(2):493–516.

• Das, Abhishek, Ramya Ramachandran, Imran Khan, Om Goel, Arpit Jain, and Lalit Kumar. 2023. GDPR Compliance Resolution Techniques for Petabyte-Scale Data Systems. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 11(8):95.

• Das, Abhishek, Balachandar Ramalingam, Hemant Singh Sengar, Lalit Kumar, Satendra Pal Singh, and Punit Goel. 2023. Designing Distributed Systems for On-Demand Scoring and Prediction Services. International Journal of Current Science 13(4):514.

• Das, Abhishek, Srinivasulu Harshavardhan Kendyala, Ashish Kumar, Om Goel, Raghav Agarwal, and Shalu Jain. 2023. Architecting Cloud-Native Solutions for Large Language Models in Real-Time Applications. International Journal of Worldwide Engineering Research 2(7):1-17.

• 2. Kendyala, Srinivasulu Harshavardhan, Ashvini Byri, Ashish Kumar, Satendra Pal Singh, Om Goel, and Punit Goel. (2023). Implementing Adaptive Authentication Using Risk-Based Analysis in Federated Systems. International Journal of Computer Science and Engineering, 12(2): 401–430.

• Kendyala, Srinivasulu Harshavardhan, Archit Joshi, Indra Reddy Mallela, Satendra Pal Singh, Shalu Jain, and Om Goel. (2023). High Availability Strategies for Identity Access Management Systems in Large Enterprises. International Journal of Current Science, 13(4): 544. doi:10.IJCSP23D1176.

• Ramachandran, Ramya, Satish Vadlamani, Ashish Kumar, Om Goel, Raghav Agarwal, and Shalu Jain. (2023). Data Migration Strategies for Seamless ERP System Upgrades. International Journal of Computer Science and Engineering (IJCSE), 12(2): 431–462.

• Ramachandran, Ramya, Nishit Agarwal, Shyamakrishna Siddharth Chamarthy, Om Goel, Punit Goel, and Arpit Jain. (2023). Best Practices for Agile Project Management in ERP Implementations. International Journal of Current Science (IJCSPUB), 13(4): 499.

• Ramalingam, Balachandar, Satish Vadlamani, Ashish Kumar, Om Goel, Raghav Agarwal, and Shalu Jain. (2023). Implementing Digital Product Threads for Seamless Data Connectivity across the Product Lifecycle. International Journal of Computer Science and Engineering (IJCSE), 12(2): 463–492.

• Ramalingam, Balachandar, Nishit Agarwal, Shyamakrishna Siddharth Chamarthy, Om Goel, Punit Goel, and Arpit Jain. (2023). Utilizing Generative AI for Design Automation in Product Development. International Journal of Current Science (IJCSPUB), 13(4): 558. doi:10.12345/IJCSP23D1177.

• Vanitha Sivasankaran Balasubramaniam, Siddhey Mahadik, Md Abul Khair, Om Goel, & Prof.(Dr.) Arpit Jain. (2023). Effective Risk Mitigation Strategies in Digital Project Management. Innovative Research Thoughts, 9(1), 538–567. https://doi.org/10.36676/irt.v9.i1.1500

• Ganipaneni, Sandhyarani, Rajas Paresh Kshirsagar, Vishwasrao Salunkhe, Pandi Kirupa Gopalakrishna, Punit Goel, and Satendra Pal Singh. 2023. Advanced Techniques in ABAP Programming for SAP S/4HANA. International Journal of Computer Science and Engineering 12(2):89–114. ISSN (P): 2278–9960; ISSN (E): 2278–9979.

• Byri, Ashvini, Murali Mohana Krishna Dandu, Raja Kumar Kolli, Satendra Pal Singh, Punit Goel, and Om Goel. 2023. Pre-Silicon Validation Techniques for SoC Designs: A Comprehensive Analysis. International Journal of Computer Science and Engineering (IJCSE) 12(2):89–114. ISSN (P): 2278–9960; ISSN (E): 2278–9979.

• Mallela, Indra Reddy, Satish Vadlamani, Ashish Kumar, Om Goel, Pandi Kirupa Gopalakrishna, and Raghav Agarwal. 2023. Deep Learning Techniques for OFAC Sanction Screening Models. International Journal of Computer Science and Engineering (IJCSE) 12(2):89–114. ISSN (P): 2278–9960; ISSN (E): 2278–9979

• Dave, Arth, Jaswanth Alahari, Aravind Ayyagari, Punit Goel, Arpit Jain, and Aman Shrivastav. 2023. Privacy Concerns and Solutions in Personalized Advertising on Digital Platforms. International Journal of General Engineering and Technology, 12(2):1–24. IASET. ISSN (P): 2278–9928; ISSN (E): 2278–9936.

• Prasad, Rohan Viswanatha, Aravind Ayyagari, Ravi Kiran Pagidi, S. P. Singh, Sandeep Kumar, and Shalu Jain. 2024. "AI-Powered Data Lake Implementations: Improving Analytics Efficiency." International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(5):1.

• Prasad, R. V., Ganipaneni, S., Nadukuru3, S., Goel, O., Singh, N., & Jain, P. A. 2024. "Event-Driven Systems: Reducing Latency in Distributed Architectures." Journal of Quantum Science and Technology (JQST), 1(3), Aug(1–19).

• Akisetty, Antony Satya Vivek Vardhan, Rakesh Jena, Rajas Paresh Kshirsagar, Om Goel, Arpit Jain, and Punit Goel. 2024. "Leveraging NLP for Automated Customer Support with Conversational AI Agents." International Journal of Research in Modern Engineering and Emerging Technology 12(5).

• Akisetty, A. S. V. V., Ayyagari, A., Pagidi, R. K., Singh, D. S. P., Kumar, P. (Dr.) S., & Jain, S. 2024. "Optimizing Marketing Strategies with MMM (Marketing Mix Modeling) Techniques." Journal of Quantum Science and Technology (JQST), 1(3), Aug(20–36).

• Kar, Arnab, Ashvini Byri, Sivaprasad Nadukuru, Om Goel, Niharika Singh, and Arpit Jain. Climate-Aware Investing: Integrating ML with Financial and Environmental Data. International Journal of Research in Modern Engineering and Emerging Technology 12(5).

• Kar, A., Chamarthy, S. S., Tirupati, K. K., Kumar, P. (Dr) S., Prasad, P. (Dr) M., & Vashishtha, P. (Dr) S. Social Media Misinformation Detection NLP Approaches for Risk. Journal of Quantum Science and Technology (JQST), 1(4), Nov(88–124).

• Sayata, Shachi Ghanshyam, Rahul Arulkumaran, Ravi Kiran Pagidi, Dr. S. P. Singh, Prof. (Dr.) Sandeep Kumar, and Shalu Jain. Developing and Managing Risk Margins for CDS Index Options. International Journal of Research in Modern Engineering and Emerging Technology 12(5):189.

• Sayata, S. G., Byri, A., Nadukuru, S., Goel, O., Singh, N., & Jain, P. A. Impact of Change Management Systems in Enterprise IT Operations. Journal of Quantum Science and Technology (JQST), 1(4), Nov(125–149).

• Garudasu, S., Arulkumaran, R., Pagidi, R. K., Singh, D. S. P., Kumar, P. (Dr) S., & Jain, S. Integrating Power Apps and Azure SQL for Real-Time Data Management and Reporting. Journal of Quantum Science and Technology (JQST), 1(3), Aug(86–116).

• Dharmapuram, S., Ganipaneni, S., Kshirsagar, R. P., Goel, O., Jain, P. (Dr.) A., & Goel, P. (Dr.) P. Leveraging Generative AI in Search Infrastructure: Building Inference Pipelines for Enhanced Search Results. Journal of Quantum Science and Technology (JQST), 1(3), Aug(117–145).

• Banoth, D. N., Jena, R., Vadlamani, S., Kumar, D. L., Goel, P. (Dr.) P., & Singh, D. S. P. Performance Tuning in Power BI and SQL: Enhancing Query Efficiency and Data Load Times. Journal of Quantum Science and Technology (JQST), 1(3), Aug(165–183).

• Dinesh Nayak Banoth, Shyamakrishna Siddharth Chamarthy, Krishna Kishor Tirupati, Prof. (Dr) Sandeep Kumar, Prof. (Dr) MSR Prasad, Prof. (Dr) Sangeet Vashishtha. Error Handling and Logging in SSIS: Ensuring Robust Data Processing in BI Workflows. Iconic Research And Engineering Journals Volume 5 Issue 3 2021 Page 237-255.

• Mali, A. B., Khan, I., Dandu, M. M. K., Goel, P. (Dr.) P., Jain, P. A., & Shrivastav, E. A. Designing Real-Time Job Search Platforms with Redis Pub/Sub and Machine Learning Integration. Journal of Quantum Science and Technology (JQST), 1(3), Aug(184–206).

• Shaik, A., Khan, I., Dandu, M. M. K., Goel, P. (Dr.) P., Jain, P. A., & Shrivastav, E. A. The Role of Power BI in Transforming Business Decision-Making: A Case Study on Healthcare Reporting. Journal of Quantum Science and Technology (JQST), 1(3), Aug(207–228).

• Subramani, P., Balasubramaniam, V. S., Kumar, P., Singh, N., Goel, P. (Dr) P., & Goel, O. The Role of SAP Advanced Variant Configuration (AVC) in Modernizing Core Systems. Journal of Quantum Science and Technology (JQST), 1(3), Aug(146–164).

• Bhat, Smita Raghavendra, Rakesh Jena, Rajas Paresh Kshirsagar, Om Goel, Arpit Jain, and Punit Goel. 2024. "Developing Fraud Detection Models with Ensemble Techniques in Finance." International Journal of Research in Modern Engineering and Emerging Technology 12(5):35.

• Bhat, S. R., Ayyagari, A., & Pagidi, R. K. 2024. "Time Series Forecasting Models for Energy Load Prediction." Journal of Quantum Science and Technology (JQST), 1(3), Aug(37–52).

• Abdul, Rafa, Arth Dave, Rahul Arulkumaran, Om Goel, Lalit Kumar, and Arpit Jain. 2024. "Impact of Cloud-Based PLM Systems on Modern Manufacturing Engineering." International Journal of Research in Modern Engineering and Emerging Technology 12(5):53.

• Abdul, R., Khan, I., Vadlamani, S., Kumar, D. L., Goel, P. (Dr.) P., & Khair, M. A. 2024. "Integrated Solutions for Power and Cooling Asset Management through Oracle PLM." Journal of Quantum Science and Technology (JQST), 1(3), Aug(53–69).

• Satish Krishnamurthy, Krishna Kishor Tirupati, Sandhyarani Ganipaneni, Er. Aman Shrivastav, Prof. (Dr) Sangeet Vashishtha, & Shalu Jain. “Leveraging AI and Machine Learning to Optimize Retail Operations and Enhance.” Darpan International Research Analysis, 12(3), 1037–1069. https://doi.org/10.36676/dira.v12.i3.140

• Krishnamurthy, S., Nadukuru, S., Dave, S. A. kumar, Goel, O., Jain, P. A., & Kumar, D. L. “Predictive Analytics in Retail: Strategies for Inventory Management and Demand Forecasting.” Journal of Quantum Science and Technology (JQST), 1(2), 96–134. Retrieved from https://jqst.org/index.php/j/article/view/9

• Gaikwad, Akshay, Shreyas Mahimkar, Bipin Gajbhiye, Om Goel, Prof. (Dr.) Arpit Jain, and Prof. (Dr.) Punit Goel. “Optimizing Reliability Testing Protocols for Electromechanical Components in Medical Devices.” International Journal of Applied Mathematics & Statistical Sciences (IJAMSS) 13(2):13–52. IASET. ISSN (P): 2319–3972; ISSN (E): 2319–3980.

• Gaikwad, Akshay, Pattabi Rama Rao Thumati, Sumit Shekhar, Aman Shrivastav, Shalu Jain, and Sangeet Vashishtha. “Impact of Environmental Stress Testing (HALT/ALT) on the Longevity of High-Risk Components.” International Journal of Research in Modern Engineering and Emerging Technology 12(10): 85. Online International, Refereed, Peer-Reviewed & Indexed Monthly Journal. ISSN: 2320-6586. Retrieved from www.ijrmeet.org.

• Dharuman, N. P., Mahimkar, S., Gajbhiye, B. G., Goel, O., Jain, P. A., & Goel, P. (Dr) P. “SystemC in Semiconductor Modeling: Advancing SoC Designs.” Journal of Quantum Science and Technology (JQST), 1(2), 135–152. Retrieved from https://jqst.org/index.php/j/article/view/10

• Ramachandran, R., Kshirsagar, R. P., Sengar, H. S., Kumar, D. L., Singh, D. S. P., & Goel, P. P. (2024). Optimizing Oracle ERP Implementations for Large Scale Organizations. Journal of Quantum Science and Technology (JQST), 1(1), 43–61. Retrieved from https://jqst.org/index.php/j/article/view/5.

• Kendyala, Srinivasulu Harshavardhan, Nishit Agarwal, Shyamakrishna Siddharth Chamarthy, Om Goel, Prof. (Dr.) Punit Goel, and Prof. (Dr.) Arpit Jain. (2024). Leveraging OAuth and OpenID Connect for Enhanced Security in Financial Services. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 12(6): 16. ISSN 2320-6586. Available at: www.ijrmeet.org.

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