Containerization and Orchestration in IT Infrastructure: DevOps Practices, Adaptability, and Security

Authors

Roilian Mykyta

Engineering Manager, LeanDNA Austin (USA)

Article Information

DOI: 10.51244/IJRSI.2025.12110178

Subject Category: Engineering & Technology

Volume/Issue: 12/11 | Page No: 2038-2045

Publication Timeline

Submitted: 2025-12-05

Accepted: 2025-12-12

Published: 2025-12-24

Abstract

The article examines the architectural and organizational principles of applying containerization, orchestration, and DevOps practices in industrial IT infrastructure. The mechanisms ensuring adaptability, fault tolerance, and security of digital systems based on Docker and Kubernetes technologies are analyzed. The role of DevOps in integrating development, testing, and operation processes, as well as its importance for building self-adaptive and secure production platforms, is emphasized. Particular attention is given to data management, information protection, and the implementation of multi-layered security policies in container clusters. It is shown that the combination of containerization, orchestration, and DevOps contributes to improving the resilience of IT systems and reducing operational risks in industrial environments.

Keywords

containerization, orchestration, DevOps, Kubernetes, data security, industrial IT infrastructure

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References

1. Alser, M., Lawlor, B., Abdill, R.J., Waymost, S., Ayyala, R., Rajkumar, N., Mangul, S. (2024). Packaging and containerization of computational methods. Nature Protocols. Vol. 19. № 9. P. 2529-2539. [Google Scholar] [Crossref]

2. Application Container Market / Grand Review Research // URL: [Google Scholar] [Crossref]

3. https://www.grandviewresearch.com/industry-analysis/application-container-market(date of application : 01.11.2025). [Google Scholar] [Crossref]

4. Ileana, M., Oproiu, M.I., Marian, C.V. (2024). Using docker swarm to improve performance in distributed web systems // 2024 International Conference on Development and Application Systems (DAS). IEEE. P. 1-6. [Google Scholar] [Crossref]

5. The 2025 Docker State of Application Development Report / Docker // URL: https://www.docker.com/blog/2025-docker-state-of-app-dev/(date of application: 01.11.2025). [Google Scholar] [Crossref]

6. Cloud Native 2024 / CNCF // [Google Scholar] [Crossref]

7. URL: https://www.cncf.io/wp-content/uploads/2025/04/cncf_annual_survey24_031225a.pdf (date of application: 01.11.2025). [Google Scholar] [Crossref]

8. Hark, R., Koziolek, H., Yussupov, V., Eskandani, N. (2025). Kubernetes High-Availability Software Architecture Options for Two-Node Clusters in IoT Applications. 2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C). IEEE. P. 69-76. [Google Scholar] [Crossref]

9. Mirjat, N.A. Quality Assurance In Devops Environments: Strategies, Tools, And Best Practices. Multidisciplinary Science Journal. Vol. 1. № 01. P. 60-65. [Google Scholar] [Crossref]

10. Blazhkovskii, A. (2025). Developing user interfaces with a focus on inclusivity. International journal of Professional Science. № 2-2. P. 73-80. [Google Scholar] [Crossref]

11. Bargsyan, A.A. (2025). Secure multi-party computation methods for confidential big data analytics. Professional Bulletin: Information Technology and Security. № 1/2025. P. 18-24. [Google Scholar] [Crossref]

12. Li, L., Xiong, K., Wang, G., Shi, J. (2024). AI-Enhanced Security for Large-Scale Kubernetes Clusters: Advanced Defense and Authentication for National Cloud Infrastructure. Journal of Theory and Practice of Engineering Science. Vol. 4. №. 12. P. 33-47. [Google Scholar] [Crossref]

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