Iranian Journal of Information Processing and Management

Iranian Journal of Information Processing and Management

Cloud-Native Architectures: Transforming Enterprise IT Operations

Document Type : Original Article

Authors
Lara Mwafaq 1
Noor Kadhim Meftin 2
Esharov Elzarbek Asanovich 3
Mohammed K. H. Al-Dulaimi 4
Talib Kalefa Hasan 5
1 Al-Turath University, Baghdad 10013, Iraq
2 Al-Mansour University College, Baghdad 10067, Iraq
3 Osh State University, Osh City 723500, Kyrgyzstan
4 Al-Rafidain University College Baghdad 10064, Iraq
5 Madenat Alelem University College, Baghdad 10006, Iraq
10.22034/jipm.2025.728114
Abstract
ABSTRACT
Background: The cloud-native architectures have reinvented the original strategies of the companies’ IT infrastructure approach and became popular due to the concepts of modularity, scalability, and resilience. These architectures respond to the shortcomings of the monolithic architectures to meet the new business challenges and workloads, including embracing innovation technologies like Artificial Intelligence and big data processing solutions.
Objective: This study was designed with the objective of assessing the performance and business viability of cloud-native systems, based on critical indicators such as availability, resilience to failure, resource use, and compatibility with innovative technologies. The objective was to define the barriers and possibilities for improving cloud native architectures in various enterprises.
Methods: A cross-sectional research, consideration, experiment test and case study and performance analysis. Response time, CPU and memory consumption and recovery time were compared across the range of throughput from 1000 to 12000 requests per second. To enhance the interpretational framework, key usage scenarios in the three sectors of healthcare, retail and finance were collected and compared with the results.
Results: Cloud-native systems proved to provide high availability rates (> 99.9%), resource scalability, and component resource efficiency. With the use of AI in combination with big data analytics, improvement in performance was realized. But some of the problems that were seen include vendor lock, integration issues, and fluctuating peak load issues.
Conclusion: All identified improvements signify the potential of cloud-native architectures for improving enterprise IT functioning. It is thus possible to continue perfecting the identified challenges to enhance their effectiveness, optimal for the current dynamic digital environment.
Keywords
KEYWORDS: cloud-native
enterprise IT
scalability
microservices
containers
serverless
operational efficiency
business agility
digital transformation
IT operations

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  • Receive Date 03 August 2025