Balancing Performance and Economics in Hybrid Cloud Data Architectures
IJRTI2202021
Volume 7, Issue 2
Page 135-148
February 2022
205,824 Downloads
PublishedOpen AccessResearch PaperTransparent Peer ReviewedCC BY 4.0
ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Balancing Performance and Economics in Hybrid Cloud Data Architectures
Authors
Praveen Kodakandla
Keywords
hybrid cloud architecture, performance optimization, cost governance, multi-cloud, edge computing, data sovereignty, AI automation
Abstract
As enterprises increasingly distribute their data and workloads across on-premises and cloud environments, achieving the right balance between performance and economic efficiency has become a defining challenge in modern data strategy. Hybrid cloud data architectures allow organizations to combine the control and security of local systems with the elasticity and innovation of cloud platforms. However, realizing this potential requires deliberate design choices that optimize cost, scalability, and operational performance.
This article examines the core principles of hybrid cloud data architecture, emphasizing design strategies, cost-governance models, and performance optimization methods. Drawing insights from real-world implementations—particularly in the banking and financial sectors—it illustrates how enterprises can achieve agility and compliance while containing costs. The discussion also explores key challenges such as latency, interoperability, vendor lock-in, and data sovereignty, and highlights emerging trends like AI-driven infrastructure management, edge computing, and zero-trust security frameworks.
By presenting a structured and practical approach, this study serves as a reference for IT leaders and data architects seeking to build resilient, high-performing, and financially sustainable hybrid ecosystems.
Choose the style your journal or department asks for, then copy it.
Every version below is generated from this paper's own record.
IJRTI — journal style
"Balancing Performance and Economics in Hybrid Cloud Data Architectures", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.7, Issue 2, page no.135-148, February-2022, Available :https://ijrti.org/papers/IJRTI2202021.pdf
APA — 7th edition
Kodakandla, P. (2022). Balancing Performance and Economics in Hybrid Cloud Data Architectures. International Journal for Research Trends and Innovation, 7(2), 135-148. https://ijrti.org/viewpaperforall.php?paper=IJRTI2202021
MLA — 9th edition
Kodakandla, Praveen. "Balancing Performance and Economics in Hybrid Cloud Data Architectures." International Journal for Research Trends and Innovation, vol. 7, no. 2, 2022, pp. 135-148, https://ijrti.org/viewpaperforall.php?paper=IJRTI2202021.
Chicago — 17th, bibliography
Kodakandla, Praveen. "Balancing Performance and Economics in Hybrid Cloud Data Architectures." International Journal for Research Trends and Innovation 7, no. 2 (2022): 135-148. https://ijrti.org/viewpaperforall.php?paper=IJRTI2202021.
Harvard — author–date
Kodakandla, P. (2022) 'Balancing Performance and Economics in Hybrid Cloud Data Architectures', International Journal for Research Trends and Innovation, 7(2), pp. 135-148. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2202021
IEEE — numbered reference
P. Kodakandla, "Balancing Performance and Economics in Hybrid Cloud Data Architectures," IJRTI, vol. 7, no. 2, pp. 135-148, Feb. 2022.
Vancouver — biomedical
Kodakandla P. Balancing Performance and Economics in Hybrid Cloud Data Architectures. IJRTI. 2022 Feb;7(2):135-148.
AMA — 11th edition
Kodakandla P. Balancing Performance and Economics in Hybrid Cloud Data Architectures. IJRTI. 2022;7(2):135-148. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2202021
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2202021,
author = {Praveen Kodakandla},
title = {Balancing Performance and Economics in Hybrid Cloud Data Architectures},
journal = {International Journal for Research Trends and Innovation},
volume = {7},
number = {2},
pages = {135-148},
year = {2022},
month = {February},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2202021}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Kodakandla, Praveen
TI - Balancing Performance and Economics in Hybrid Cloud Data Architectures
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 7
IS - 2
PY - 2022
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2202021
SP - 135
EP - 148
ER -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
2456-3315ISSN
10.57Impact Factor
2016ESTD Year
OpenAccess
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
UGC CARE Approved Journal — Transparent Peer-reviewed journal aligned with UGC’s 2025 suggestive parameters, with CrossRef DOI registration and Scopus Standard metadata on every published paper.
Disclaimer:
The content, data and findings in this article are based on the authors’ research and have been
peer-reviewed for academic purposes only. Readers are advised to verify all information before practical
or commercial use. The journal and its editorial board are not liable for any errors, losses or
consequences arising from its use.
Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.