Cloud Cost Optimization for Database Workloads: Real-World Savings using Utilization Analytics

Authors

  • Hari Babu Dama Database Admin/Architect, Bank of America, Plano, Texas, USA Author

DOI:

https://doi.org/10.15680/IJCTECE.2025.0803010

Keywords:

Cloud, Analytics, Cost Optimization, Database

Abstract

In this paper, we look at how to save money on cloud databases using utilization data. Through the analysis of telemetry, the engine can find areas where resources are being wasted and improves efficiency by right servers, scaling when needed, and setting up storage tiers. Using dashboards and automation, real savings in operation costs are shown, allowing businesses to make sustainable changes in cloud operations.

References

[1] Zhang, H., Liu, Y., & Yan, J. (2023). Cost-Intelligent data analytics in the cloud. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2308.09569

[2] Zhang, Y., Li, D., & Zhang, S. (2023). Cost Optimization - A Recommendation Analysis of Azure Workloads. Journal of Student Research, 11(4). https://doi.org/10.47611/jsr.v11i4.1775

[3] Yadav, N. S. (2025). Cloud Database Optimization: Strategies for performance, scalability, and Cost-Efficiency. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 11(2), 2958–2967. https://doi.org/10.32628/cseit25112738

[4] Malik, S., Tahir, M., Sardaraz, M., & Alourani, A. (2022). A resource utilization prediction model for cloud data centers using evolutionary algorithms and machine learning techniques. Applied Sciences, 12(4), 2160. https://doi.org/10.3390/app12042160

[5] Srinivasa, T. (2024). Cloud Cost Optimization Methodologies for Cloud Migrations. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 4797–. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7088

[6] Ahmad, S. G., Iqbal, T., Munir, E. U., & Ramzan, N. (2023). Cost optimization in cloud environment based on task deadline. Journal of Cloud Computing Advances Systems and Applications, 12(1). https://doi.org/10.1186/s13677-022-00370-x

[7] Nagaraju, S., Goel, H. K., Paliwal, P., & Narasimharaj, C. M. (2024). Case study: world’s largest renal myopericytoma—management and literature review. Academia Oncology, 1(2). https://doi.org/10.20935/AcadOnco7420

[8] Katari, A., & Kalla, D. (2021). Cost Optimization in Cloud-Based Financial Data Lakes: Techniques and Case Studies. ESP Journal of Engineering & Technology Advancements (ESP-JETA), 1(1), 150-157. https://d1wqtxts1xzle7.cloudfront.net/118842684/JETA_V1I1P116-libre.pdf?1728742416=&response-content- disposition=inline%3B+filename%3DCost_Optimization_in_Cloud_Based_Financi.pdf&Expires=1747391477& Signature=OKm4GHIq0HEzwCLBjKM1I3BfRhtQ2tFJ6J3289KmyGf2LI~~- jZvyb37G~cNmrdZOGKuoJTO5XtGoVNwY3aZ1pYrAMGML70tZ2u8AsmzbAXozJx9rVdqeJ8UrrufX1ezPbZ EhhDB~~e-CaECXgtsYIPc49ggxUdJTYKSyb4- KknashrwDQ5Hi~sZy5Y2sgGPop0HPo34WIiDIvvkAwMCLDTUpWo8FdPaF6Eik3BlOopOxYYnhpPOVGj4- km2QKsHOnZZS3As1s~C2RlNS3kjDTjeHTjif6cxR6QtazFgwCxvZzAhW15qL9B- 2GUb3TusjO6E40AJ34qIU36SpxoKLA &Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA

[9] Achanta, A. DATA ENGINEERING GROUPS TO DEDICATE INCREASED EFFORT ON OPTIMIZING DATA CLOUD EXPENSES. Journal ID, 2811, 6201. https://doi.org/10.17605/OSF.IO/Y734R

[10] Prasad, V. K., Dansana, D., Bhavsar, M. D., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2023). Efficient resource utilization in IoT and cloud computing. Information, 14(11), 619. https://doi.org/10.3390/info14110619

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Published

2025-06-18

How to Cite

Cloud Cost Optimization for Database Workloads: Real-World Savings using Utilization Analytics. (2025). International Journal of Computer Technology and Electronics Communication, 8(3), 10742-10750. https://doi.org/10.15680/IJCTECE.2025.0803010