LEVERAGING CLOUD-NATIVE ARCHITECTURE FOR SCALABLE AND RESILIENT ENTERPRISE APPLICATIONS: A COMPREHENSIVE ANALYSIS
Keywords:
Cloud-Native Architecture, Microservices, Containerization, Scalability, DevOpsAbstract
This comprehensive article explores the transformative impact of cloud-native architectures on enterprise applications, focusing on their ability to enhance scalability, resilience, and agility in today's rapidly evolving digital landscape. The article begins by elucidating cloud-native design's core principles and key components, including microservices, containers, and dynamic orchestration technologies like Kubernetes. It then delves into the strategies for achieving scalability and resilience in cloud-native systems, supported by real-world case studies from industry leaders. The article examines the adoption of cloud-native solutions across various sectors, including finance, healthcare, and e-commerce, highlighting both the opportunities and challenges faced in implementation. Furthermore, the article provides insights into best practices for designing, deploying, and maintaining cloud-native applications, emphasizing the importance of continuous integration and delivery, robust monitoring, and security considerations. The article concludes by exploring emerging trends and future prospects in cloud-native computing, including the integration of edge computing, AI, and IoT technologies. This article serves as a valuable resource for IT professionals, software engineers, and business leaders seeking to leverage cloud-native architectures to drive innovation and maintain competitiveness in an increasingly digital-first business environment.
References
L. A. Vayghan, M. A. Saied, M. Toeroe and F. Khendek, "Deploying Microservice Based Applications with Kubernetes: Experiments and Lessons Learned," 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), San Francisco, CA, USA, 2018, pp. 970-973, doi: 10.1109/CLOUD.2018.00148. [Online]. Available: https://ieeexplore.ieee.org/document/8457916
N. Kratzke and P. -C. Quint, "Understanding cloud-native applications after 10 years of cloud computing - A systematic mapping study," Journal of Systems and Software, vol. 126, pp. 1-16, 2017. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0164121217300018
M. Amaral, J. Polo, D. Carrera, I. Mohomed, M. Unuvar and M. Steinder, "Performance Evaluation of Microservices Architectures Using Containers," 2015 IEEE 14th International Symposium on Network Computing and Applications, Cambridge, MA, USA, 2015, pp. 27-34, doi: 10.1109/NCA.2015.49. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/7371699
Y. Gan et al., "An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems," in Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019, pp. 3-18. [Online]. Available: https://dl.acm.org/doi/10.1145/3297858.3304013
A. Casalicchio and V. Perciballi, "Auto-Scaling of Containers: The Impact of Relative and Absolute Metrics," 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W), Tucson, AZ, USA, 2017, pp. 207-214, doi: 10.1109/FAS-W.2017.149. [Online]. Available: https://ieeexplore.ieee.org/document/8064125
N. Dragoni et al., "Microservices: Yesterday, Today, and Tomorrow," in Present and Ulterior Software Engineering, Springer, Cham, 2017, pp. 195-216. [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-319-67425-4_12
T. Erl, R. Puttini, and Z. Mahmood, "Cloud Computing: Concepts, Technology & Architecture," Prentice Hall, 2013. [Online]. Available: https://ptgmedia.pearsoncmg.com/images/9780133387520/samplepages/0133387526.pdf
S. P. T. Krishnan and J. L. U. Gonzalez, "Building Your Next Big Thing with Google Cloud Platform: A Guide for Developers and Enterprise Architects," Apress, 2015. [Online]. Available: https://link.springer.com/book/10.1007/978-1-4842-1004-8
N. Alshuqayran, N. Ali and R. Evans, "A Systematic Mapping Study in Microservice Architecture," 2016 IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA), Macau, China, 2016, pp. 44-51, doi: 10.1109/SOCA.2016.15. [Online]. Available: https://ieeexplore.ieee.org/document/7796008
C. Pahl, A. Brogi, J. Soldani and P. Jamshidi, "Cloud Container Technologies: a State-of-the-Art Review," in IEEE Transactions on Cloud Computing, vol. 7, no. 3, pp. 677-692, 1 July-Sept. 2019, doi: 10.1109/TCC.2017.2702586. [Online]. Available: https://ieeexplore.ieee.org/document/7922500
A. Yousefpour et al., "All one needs to know about fog computing and related edge computing paradigms: A complete survey," Journal of Systems Architecture, vol. 98, pp. 289-330, 2019, doi: 10.1016/j.sysarc.2019.02.009. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1383762118306349