Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture
Abstract
This article reports on experiences and lessons learned during incremental migration and architectural refactoring of a commercial mobile back end as a service to microservices architecture. It explains how the researchers adopted DevOps and how this facilitated a smooth migration.
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Hein, A., Schreieck, M., Riasanow, T., Setzke, D. S., Wiesche, M., Böhm, M., & Krcmar, H. (2020) · Electronic Markets · doi:10.1007/s12525-019-00377-4 · Cited by 945 · see citing works
DevOps Adoption Benefits and Challenges in Practice: A Case Study
Riungu-Kalliosaari, L., Mäkinen, S., Lwakatare, L. E., Tiihonen, J., & Männistö, T. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-49094-6_44 · Cited by 154 · see citing works
AutoMAP: Diagnose Your Microservice-based Web Applications Automatically
Ma, M., Xu, J., Wang, Y., Chen, P., Zhang, Z., & Wang, P. (2020) · Proceedings of The Web Conference 2020 · doi:10.1145/3366423.3380111 · Cited by 129 · see citing works
Graph-based root cause analysis for service-oriented and microservice architectures
Brandón, Á., Solé, M., Huélamo, A., Solans, D., Pérez, M. S., & Muntés-Mulero, V. (2020) · Journal of Systems and Software · doi:10.1016/j.jss.2019.110432 · Cited by 121 · see citing works
Kumar, R., & Goyal, R. (2020) · Computers & Security · doi:10.1016/j.cose.2020.101967 · Cited by 97 · see citing works
Huang, T., Chen, P., & Li, R. (2022) · Proceedings of the ACM Web Conference 2022 · doi:10.1145/3485447.3511984 · Cited by 61 · see citing works
Prioritization based taxonomy of DevOps security challenges using PROMETHEE
Rafi, S., Yu, W., Akbar, M. A., Alsanad, A., & Gumaei, A. (2020) · IEEE Access · doi:10.1109/access.2020.2998819 · Cited by 50 · see citing works
Gu, S., Rong, G., Ren, T., Zhang, H., Shen, H., Yu, Y., Li, X., Ouyang, J., & Chen, C. (2023) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2023.3241299 · Cited by 46 · see citing works
Panahandeh, M., Hamou-Lhadj, A., Hamdaqa, M., & Miller, J. (2024) · Journal of Systems and Software · doi:10.1016/j.jss.2023.111917 · Cited by 49 · see citing works
ServiceRank: Root Cause Identification of Anomaly in Large-Scale Microservice Architectures
Ma, M., Lin, W., Pan, D., & Wang, P. (2022) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2021.3083671 · Cited by 46 · see citing works
Yu, G., Huang, Z., & Chen, P. (2023) · Journal of Software: Evolution and Process · doi:10.1002/smr.2413 · Cited by 44 · see citing works
Capabilities and Practices in DevOps: A Multivocal Literature Review
Amaro, R., Pereira, R., & da Silva, M. M. (2023) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2022.3166626 · Cited by 43 · see citing works
Faster, deeper, easier: crowdsourcing diagnosis of microservice kernel failure from user space
Pan, Y., Ma, M., Jiang, X., & Wang, P. (2021) · Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis · doi:10.1145/3460319.3464805 · Cited by 42 · see citing works
Lin, W., Ma, M., Pan, D., & Wang, P. (2018) · 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC) · doi:10.1109/pccc.2018.8711092 · Cited by 29 · see citing works
Codepori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology
Rasheed, Z., Malik, S., Kemell, K.-K., Muhammad, W., Saari, M., Systä, K., & Abrahamsson, P. (2024) · doi:10.2139/ssrn.4979510 · Cited by 27 · see citing works
DyCause: Crowdsourcing to Diagnose Microservice Kernel Failure
Pan, Y., Ma, M., Jiang, X., & Wang, P. (2023) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2022.3233915 · Cited by 11 · see citing works
MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems
Wu, L., Tordsson, J., Acker, A., & Kao, O. (2020) · 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC) · doi:10.1109/ucc48980.2020.00041 · Cited by 14 · see citing works
A Distributed Edge FLISR Solution & Network Simulation Test Platform
Leniston, D., Ryan, D., Malone, C., & Dey, I. (2024) · arXiv · doi:10.48550/arxiv.2407.17497
“The simulation platform leverages a micro-service architecture, in addition these services are hosted within a containerised environment to enable simple deployment on either local systems or remote host [19].”
Background
- Authors
- Balalaie, A., Heydarnoori, A., & Jamshidi, P.
- Affiliations
- Sharif University of Technology (IR)
- Imperial College London (GB)
- Venue
- IEEE Software
- Published
- 2016-05
- Volume
- 33
- Issue
- 3
- Pages
- 42-52
- ISSN
- 0740-7459 (ISSN-L)
- 1937-4194
- OpenAlex
- W2322013807
- Cited by
- 735
- References
- 0
- Citations by year
- 2026: 31 · 2025: 51 · 2024: 80 · 2023: 71 · 2022: 84 · 2021: 102 · 2020: 91 · 2019: 94 · 2018: 82 · 2017: 35 · 2016: 14
- FWCI
- 70.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Software (publishedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
- Keywords
- microservices, DevOps, cloud-native architecture, architectural refactoring, incremental migration, lessons learned
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