Migration Strategies for Legacy Monolith Applications into Containerized Environments Using Docker and Node.js Frameworks

References

[1] Adams, B. and McIntosh, S., 2016, March. Modern release engineering in a nutshell--why researchers should care. In 2016 IEEE 23rd international conference on software analysis, evolution, and reengineering (SANER) (Vol. 5, pp. 78-90). IEEE.

[2] Ajonbadi Adeniyi, H., AboabaMojeed-Sanni, B. and Otokiti, B.O., 2015. Sustaining competitive advantage in medium-sized enterprises (MEs) through employee social interaction and helping behaviours. Journal of Small Business and Entrepreneurship, 3(2), pp.1-16.

[3] Ajonbadi, H.A., Lawal, A.A., Badmus, D.A. and Otokiti, B.O., 2014. Financial control and organisational performance of the Nigerian small and medium enterprises (SMEs): A catalyst for economic growth. American Journal of Business, Economics and Management, 2(2), pp.135-143.

[4] Ajonbadi, H.A., Otokiti, B.O. and Adebayo, P., 2016. The efficacy of planning on organisational performance in the Nigeria SMEs. European Journal of Business and Management, 24(3), pp.25-47.

[5] Akinbola, O.A. and Otokiti, B.O., 2012. Effects of lease options as a source of finance on profitability performance of small and medium enterprises (SMEs) in Lagos State, Nigeria. International Journal of Economic Development Research and Investment, 3(3), pp.70-76.

[6] Amos, A.O., Adeniyi, A.O. and Oluwatosin, O.B., 2014. Market based capabilities and results: inference for telecommunication service businesses in Nigeria. European Scientific Journal, 10(7).

[7] Arabnejad, H., Pahl, C., Jamshidi, P. and Estrada, G., 2017, May. A comparison of reinforcement learning techniques for fuzzy cloud auto-scaling. In 2017 17th IEEE/ACM international symposium on cluster, cloud and grid computing (CCGRID) (pp. 64-73). IEEE.

[8] Awe, E.T. and Akpan, U.U., 2017. Cytological study of Allium cepa and Allium sativum.

[9] Awe, E.T., 2017. Hybridization of snout mouth deformed and normal mouth African catfish Clarias gariepinus. Animal Research International, 14(3), pp.2804-2808.

[10] Brosinsky, C., Westermann, D. and Krebs, R., 2018, June. Recent and prospective developments in power system control centers: Adapting the digital twin technology for application in power system control centers. In 2018 IEEE international energy conference (ENERGYCON) (pp. 1-6). IEEE.

[11] Carneiro, C. and Schmelmer, T., 2016. Microservices from day one. Apress. Berkeley, CA.

[12] Chen, J., Xiao, J., Wang, Q., Osterweil, L.J. and Li, M., 2016. Perspectives on refactoring planning and practice: an empirical study. Empirical Software Engineering, 21(3), pp.1397-1436.

[13] Cito, J., Schermann, G., Wittern, J.E., Leitner, P., Zumberi, S. and Gall, H.C., 2017, May. An empirical analysis of the docker container ecosystem on github. In 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR) (pp. 323-333). IEEE.

[14] Di Francesco, P., Lago, P. and Malavolta, I., 2018, April. Migrating towards microservice architectures: an industrial survey. In 2018 IEEE international conference on software architecture (ICSA) (pp. 29-2909). IEEE.

[15] Diallo, M.H., August, M., Hallman, R., Kline, M., Slayback, S.M. and Graves, C., 2017. AutoMigrate: a framework for developing intelligent, self-managing cloud services with maximum availability. Cluster Computing, 20(3), pp.1995-2012.

[16] Endo, P.T., Rodrigues, M., Gonçalves, G.E., Kelner, J., Sadok, D.H. and Curescu, C., 2016. High availability in clouds: systematic review and research challenges. Journal of Cloud Computing, 5(1), p.16.

[17] Esposito, C., Castiglione, A., Tudorica, C.A. and Pop, F., 2017. Security and privacy for cloud-based data management in the health network service chain: a microservice approach. IEEE Communications Magazine, 55(9), pp.102-108.

[18] Evans-Uzosike, I.O. & Okatta, C.G., 2019. Strategic Human Resource Management: Trends, Theories, and Practical Implications. Iconic Research and Engineering Journals, 3(4), pp.264-270.

[19] Hunter II, T., 2017. Advanced Microservices. Apress, New York.

[20] Ibitoye, B.A., AbdulWahab, R. and Mustapha, S.D., 2017. Estimation of drivers’ critical gap acceptance and follow-up time at four–legged unsignalized intersection. CARD International Journal of Science and Advanced Innovative Research, 1(1), pp.98-107.

[21] Kim, M., Mohindra, A., Muthusamy, V., Ranchal, R., Salapura, V., Slominski, A. and Khalaf, R., 2016. Building scalable, secure, multi-tenant cloud services on IBM Bluemix. IBM Journal of Research and Development, 60(2-3), pp.8-1.

[22] King, S.P., Mills, A.R., Kadirkamanathan, V. and Clifton, D.A., 2017. Equipment health monitoring in complex systems. Artech House.

[23] Knauss, E., Pelliccione, P., Heldal, R., Ågren, M., Hellman, S. and Maniette, D., 2016, September. Continuous integration beyond the team: a tooling perspective on challenges in the automotive industry. In proceedings of the 10th ACM/IEEE International symposium on empirical software engineering and measurement (pp. 1-6).

[24] Krochmalski, J., 2017. Docker and Kubernetes for Java Developers. Packt Publishing Ltd.

[25] Krochmalski, J., 2017. Docker and Kubernetes for Java Developers. Packt Publishing Ltd.

[26] Kumar, P.S., Emfinger, W., Karsai, G., Watkins, D., Gasser, B. and Anilkumar, A., 2016. ROSMOD: a toolsuite for modeling, generating, deploying, and managing distributed real-time component-based software using ROS. Electronics, 5(3), p.53.

[27] Lawal, A.A., Ajonbadi, H.A. and Otokiti, B.O., 2014. Leadership and organisational performance in the Nigeria small and medium enterprises (SMEs). American Journal of Business, Economics and Management, 2(5), p.121.

[28] Lawal, A.A., Ajonbadi, H.A. and Otokiti, B.O., 2014. Strategic importance of the Nigerian small and medium enterprises (SMES): Myth or reality. American Journal of Business, Economics and Management, 2(4), pp.94-104.

[29] Leonhardt, D., Haffke, I., Kranz, J. and Benlian, A., 2017, June. Reinventing the IT function: the Role of IT Agility and IT Ambidexterity in Supporting Digital Business Transformation. In ECIS (Vol. 63, pp. 968-984).

[30] Lynn, T., Rosati, P., Lejeune, A. and Emeakaroha, V., 2017, December. A preliminary review of enterprise serverless cloud computing (function-as-a-service) platforms. In 2017 IEEE international conference on cloud computing technology and science (CloudCom) (pp. 162-169). IEEE.

[31] Manu, A.R., Patel, J.K., Akhtar, S., Agrawal, V.K. and Murthy, K.B.S., 2016, March. A study, analysis and deep dive on cloud PAAS security in terms of Docker container security. In 2016 international conference on circuit, power and computing technologies (ICCPCT) (pp. 1-13). IEEE.

[32] Mergel, I., 2016. Agile innovation management in government: A research agenda. Government Information Quarterly, 33(3), pp.516-523.

[33] Messina, M., 2017. Designing the new digital innovation environment. In CIOs and the Digital Transformation: A New Leadership Role (pp. 147-180). Cham: Springer International Publishing.

[34] Nadareishvili, I., Mitra, R., McLarty, M. and Amundsen, M., 2016. Microservice architecture: aligning principles, practices, and culture. " O'Reilly Media, Inc.".

[35] Nascimento, D.L.D.M., Sotelino, E.D., Lara, T.P.S., Caiado, R.G.G. and Ivson, P., 2017. Constructability in industrial plants construction: a BIM-Lean approach using the Digital Obeya Room framework. Journal of civil engineering and management, 23(8), pp.1100-1108.

[36] Niu, G., 2017. Data-driven technology for engineering systems health management. Springer Singapore, 10, pp.978-981.

[37] Nwaimo, C.S., Oluoha, O.M. & Oyedokun, O., 2019. Big Data Analytics: Technologies, Applications, and Future Prospects. Iconic Research and Engineering Journals, 2(11), pp.411-419.

[38] Nwaimo, C.S., Oluoha, O.M. & Oyedokun, O., 2019. Big Data Analytics: Technologies, Applications, and Future Prospects. IRE Journals, 2(11), pp.411–419. DOI: 10.46762/IRECEE/2019.51123.

[39] Ogundipe, F., Sampson, E., Bakare, O.I., Oketola, O. and Folorunso, A., 2019. Digital Transformation and its Role in Advancing the Sustainable Development Goals (SDGs). transformation, 19, p.48.

[40] Oni, O., Adeshina, Y.T., Iloeje, K.F. and Olatunji, O.O., ARTIFICIAL INTELLIGENCE MODEL FAIRNESS AUDITOR FOR LOAN SYSTEMS. Journal ID, 8993, p.1162.

[41] Opara-Martins, J., Sahandi, R. and Tian, F., 2016. Critical analysis of vendor lock-in and its impact on cloud computing migration: a business perspective. Journal of Cloud Computing, 5(1), p.4.

[42] Otokiti, B.O. and Akinbola, O.A., 2013. Effects of lease options on the organizational growth of small and medium enterprise (SME’s) in Lagos State, Nigeria. Asian Journal of Business and Management Sciences, 3(4), pp.1-12.

[43] Otokiti, B.O., 2012. Mode of entry of multinational corporation and their performance in the Nigeria market (Doctoral dissertation, Covenant University).

[44] Otokiti, B.O., 2017. A study of management practices and organisational performance of selected MNCs in emerging market-A Case of Nigeria. International Journal of Business and Management Invention, 6(6), pp.1-7.

[45] Otokiti, B.O., 2018. Business regulation and control in Nigeria. Book of readings in honour of Professor SO Otokiti, 1(2), pp.201-215.

[46] Parnin, C., Helms, E., Atlee, C., Boughton, H., Ghattas, M., Glover, A., Holman, J., Micco, J., Murphy, B., Savor, T. and Stumm, M., 2017. The top 10 adages in continuous deployment. IEEE Software, 34(3), pp.86-95.

[47] Pohlmann, A. and Kaartemo, V., 2017. Research trajectories of Service-Dominant Logic: Emergent themes of a unifying paradigm in business and management. Industrial Marketing Management, 63, pp.53-68.

[48] Raj, P. and Raman, A., 2018. Software-defined Cloud Centers. Springer.

[49] Rueden, C.T., Schindelin, J., Hiner, M.C., DeZonia, B.E., Walter, A.E., Arena, E.T. and Eliceiri, K.W., 2017. ImageJ2: ImageJ for the next generation of scientific image data. BMC bioinformatics, 18(1), p.529.

[50] Salonen, A., Rajala, R. and Virtanen, A., 2018. Leveraging the benefits of modularity in the provision of integrated solutions: A strategic learning perspective. Industrial Marketing Management, 68, pp.13-24.

[51] Seiger, R., Huber, S. and Schlegel, T., 2018. Toward an execution system for self-healing workflows in cyber-physical systems. Software & Systems Modeling, 17(2), pp.551-572.

[52] Senthilvel, G., Khan, O.M.A. and Qureshi, H.A., 2017. Enterprise Application Architecture with. NET Core. Packt Publishing Ltd.

[53] Shahin, M., Babar, M.A. and Zhu, L., 2017. Continuous integration, delivery and deployment: a systematic review on approaches, tools, challenges and practices. IEEE access, 5, pp.3909-3943.

[54] SHARMA, A., ADEKUNLE, B.I., OGEAWUCHI, J.C., ABAYOMI, A.A. and ONIFADE, O., 2019. IoT-enabled Predictive Maintenance for Mechanical Systems: Innovations in Real-time Monitoring and Operational Excellence.

[55] Silva, D., Tsantalis, N. and Valente, M.T., 2016, November. Why we refactor? confessions of github contributors. In Proceedings of the 2016 24th acm sigsoft international symposium on foundations of software engineering (pp. 858-870).

[56] Singh, B., 2017. Enhancing Real-Time Database Security Monitoring Capabilities Using Artificial Intelligence. INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR).

[57] Smith, R., 2017. Docker orchestration. Packt Publishing Ltd.

[58] Song, W., 2017. Requirement management for product-service systems: Status review and future trends. Computers in Industry, 85, pp.11-22.

[59] Visvizi, A., Mazzucelli, C. and Lytras, M., 2017. Irregular migratory flows: Towards an ICTs’ enabled integrated framework for resilient urban systems. Journal of Science and Technology Policy Management, 8(2), pp.227-242.

[60] Zou, Y., Kiviniemi, A. and Jones, S.W., 2017. A review of risk management through BIM and BIM-related technologies. Safety science, 97, pp.88-98.

@article{1710018,
      author = {Ehimah Obuse, Eseoghene Daniel Erigha, Babawale Patrick Okare, Abel Chukwuemeke Uzoka, Samuel Owoade; Noah Ayanbode},
      title = {Migration Strategies for Legacy Monolith Applications into Containerized Environments Using Docker and Node.js Frameworks},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {1},
      pages = {450-466},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710018.pdf},
      abstract = {The transition from legacy monolithic applications to modern, containerized architectures has become a strategic imperative for organizations seeking scalability, agility, and continuous delivery. This explores migration strategies for transforming legacy monoliths into containerized environments using Docker and Node.js frameworks. Monolithic applications, often built with tightly coupled components and outdated technologies, present significant challenges in terms of maintainability, scalability, and deployment complexity. As enterprises increasingly adopt DevOps practices and cloud-native platforms, containerization emerges as a vital enabler of modernization. Docker provides a lightweight, portable solution for encapsulating application components into isolated containers, enabling consistent execution across environments. Node.js, known for its non-blocking I/O and event-driven architecture, offers a performant and scalable foundation for decomposing monoliths into modular services. This presents a phased migration approach, beginning with codebase auditing and boundary identification, followed by incremental decomposition of business functions into RESTful Node.js microservices. It highlights the use of Docker for creating reproducible builds, managing dependencies, and orchestrating service components through Docker Compose and container networking. Key considerations such as data consistency, inter-service communication, security, and CI/CD integration are addressed to ensure a seamless transition. Additionally, this emphasizes best practices in testing, performance tuning, and deployment automation. Real-world challenges such as handling legacy dependencies, maintaining backward compatibility, and managing team readiness are also explored. By combining Docker?s containerization capabilities with the modular strengths of Node.js, organizations can modernize legacy systems with reduced risk and increased flexibility. This concludes by outlining future directions, including full microservices adoption, cloud orchestration with Kubernetes, and the potential integration of serverless components. This work serves as a practical guide for engineers and decision-makers aiming to drive digital transformation through strategic application modernization.},
      keywords = {Migration strategies, Legacy monolith applications, Containerized environments, Docker and node.js frameworks},
      month = {July},
  }