International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 73 | Issue 7 | Year 2025 | Article Id. IJCTT-V73I7P111 | DOI : https://doi.org/10.14445/22490183/IJCTT-V73I7P111

Optimizing Cloud-Native Development Costs: Smart Spending in the Cloud


Rakesh Kumar Mali

Received Revised Accepted Published
06 Jun 2025 28 Jun 2025 19 Jul 2025 30 Jul 2025

Citation :

Rakesh Kumar Mali, "Optimizing Cloud-Native Development Costs: Smart Spending in the Cloud," International Journal of Computer Trends and Technology (IJCTT), vol. 73, no. 7, pp. 87-97, 2025. Crossref, https://doi.org/10.14445/22490183/IJCTT-V73I7P111

Abstract

Effective cost management has become more crucial as cloud adoption increases across all sectors. For Technical Program Managers (TPMs) in charge of software development projects, management has become a crucial skill. This work offers a thorough framework for cloud cost optimization, combining financial management with technical best practices. And examine essential tactics like granular cost transparency, resource rightsizing, policy implementation, and performance-cost balancing. Real-world case studies and empirical data support the conclusion that TPMs can deliver substantial cost savings without compromising innovation speed or service quality. This work presents a maturity model for cloud financial operations (FinOps) and discusses areas for future investigation and guidelines for this ever-changing sector.

Keywords

Cloud Computing, Software Engineering Economics, Technical Program Management, Cost Optimization, FinOps.

References

[1] Davide Taibi, and Kari Systä, “From Monolithic Systems to Microservices: A Decomposition Framework based on Process Mining,” International Conference on Cloud Computing and Services Science, pp. 153-164, 2019.
[Google Scholar[Publisher Link]
[2] Giovanni Toffetti et al., “Self-managing Cloud-native Applications: Design, Implementation, and Experience,” Future Generation Computer Systems, vol. 72, pp. 165-179, 2017.
[CrossRef] [Google Scholar[Publisher Link]
[3] Yazn Alshamaila, Savvas Papagiannidis, and Feng Li, “Cloud Computing Adoption by SMEs in the North East of England: A Multi‐perspective Framework,” Journal of Enterprise Information Management, vol. 26, no. 3, pp. 250-275, 2013. 
[CrossRef] [Google Scholar[Publisher Link]
[4] Armin Balalaie, Abbas Heydarnoori, and Pooyan Jamshidi, “Microservices Architecture Enables DevOps: Migration to a Cloud Native Architecture,” IEEE Software, vol. 33, no. 3, pp. 42-52, 2016.
[CrossRef] [Google Scholar[Publisher Link]
[5] Trevor Clohessy, Thomas Acton, and Lorraine Morgan, “The Impact of Cloud-based Digital Transformation on IT Service Providers: Evidence from Focus Groups,” International Journal of Cloud Applications and Computing, vol. 7, no. 4, 2017.
[CrossRef] [Google Scholar[Publisher Link]
[6] Tomislav Vresk, and Igor Cavrak, “Architecture of an In-teroperable IoT Platform based on Microservices,” 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics, 2016. 
[CrossRef] [Google Scholar[Publisher Link]
[7] Jacopo Soldani, Damian Andrew Tamburri, and Willem-Jan Van Den Heuvel, “The Pains and Gains of Microservices: A Systematic Grey Literature Review,” Journal of Systems and Soft-ware, vol. 146, pp. 215-232, 2018.
[CrossRef] [Google Scholar[Publisher Link]
[8] Yevheniya Nosyk, “Migration of a Legacy Web Application to the Cloud,” Theseus, 2018.
[Google Scholar[Publisher Link]
[9] Ahmed Barnawi et al., “The Views, Measurements and Challenges of Elasticity in the Cloud: A Review,” Computer Communications, vol. 154, pp. 111-117 , 2020.
[CrossRef] [Google Scholar[Publisher Link]
[10] Davide Taibi, Valentina Lenarduzzi, and Claus Pahl, “Processes, Motivations, and Issues for Migrating to Microservices Architectures: An Empirical Investigation,” IEEE Cloud Computing, vol. 4, no. 5, pp. 22-32, 2017.
[CrossRef] [Google Scholar[Publisher Link]
[11] Sai Dikshit Pasham, “AI-Driven Cloud Cost Optimization for Small and Medium Enterprises (SMEs),” The Computertech, vol. 3, no. 1, 2017.
[Google Scholar[Publisher Link]
[12] FinOps: A New Approach to Cloud Financial Management, O'Reilly Media, 2020. [Online]. Available: https://cxo-institute.com/wp-content/uploads/2020/07/FinOps-A-New-Approach-to-Cloud-Financial-Management-1.pdf
[13] Lee Atchison, Architecting for Scale: High Availability for Your Growing Applications, O'Reilly Media, 2016.
[Google Scholar[Publisher Link]
[14] Martin Fowler, Patterns of Enterprise Application Architecture, Addison-Wesley Professional, 2002.
[Google Scholar[Publisher Link]
[15] Jez Humble, and David Farley, Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation, Addison-Wesley Professional, 2010.
[Google Scholar[Publisher Link]
[16] Gene Kim et al., The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations, IT Revolution Press, 2016.
[Google Scholar[Publisher Link]
[17] The Twelve-Factor App. [Online]. Available: https://12factor.net/
 [18] Naga Surya Teja Thallam, “Comparative Analysis of Public Cloud Providers for Big Data Analytics: AWS, Azure, and Google Cloud,” International Journal of AI, Bigdata, Computational and Management Studies, vol. 4, no. 3, pp. 18-29, 2023.
[CrossRef] [Google Scholar[Publisher Link]