THE IMPACT OF CONTAINERIZATION ON THE EFFICIENCY OF CLOUD SERVICES
Keywords:
cloud technologies, container orchestration platforms, cloud, Docker, KubernetesAbstract
The study aims to assess how technologies such as Docker and Kubernetes contribute to the performance, scalability, and cost-effectiveness of cloud systems, as well as to identify factors that may limit their use in real-world applications. The paper focuses on the practical aspects of containerization implementation and its role in the transformation of cloud technologies.The purpose of the article. The purpose of this article is to analyze the impact of containerization on the efficiency of cloud services, to identify its key advantages, potential challenges and development prospects in the context of modern IT infrastructures.Scientific novelty. The scientific novelty lies in the systematization and generalization of modern data on the impact of containerization on cloud services, taking into account the latest reports and real cases of leading companies (Netflix, Spotify, Airbnb). For the first time, the paper combines the analysis of energy efficiency, security, and scalability of containerization with an assessment of its economic effect in multi-cloud and serverless architectures. Particular attention is paid to new challenges related to the security of the host system kernel and the complexity of managing large container clusters, which complements existing research.Results. The study showed that containerization significantly improves the efficiency of cloud services by reducing application deployment time (from 20–30 minutes for a VM to 2–5 minutes), saving resources (20–30 % of CPU and memory), and reducing operating costs (15–25 %). Real- world examples of implementation at Netflix (70 % increase in update speed), Spotify (migration in 4 months), and Coca-Cola (44 % reduction in latency) confirm these benefits. At the same time, limitations have been identified: 65 % of companies have encountered vulnerabilities in Kubernetes configurations, which requires additional security measures. Containerization supports multi-cloud strategies (60 % of companies) and serverless platforms (40 % of applications), promoting flexibility and portability. Conclusions. Containerization is a key technology for improving the efficiency of cloud services, providing speed, cost, and adaptability. Its benefits outweigh challenges such as security and management complexity, making it a standard for modern IT systems. In 2025, containerization will remain the backbone of cloud computing, driving innovation and business competitiveness. The development prospects are associated with the integration of artificial intelligence and the improvement of orchestrators, which will make cloud services even more accessible and efficient.
References
Ткаченко, В., Антипенко, В. (2024). Сучасні тенденції автоматизації управління інфраструктурою та контейнеризацією додатків для хмарних систем. Information Technology: Computer Science, Software Engineering and Cyber Security, № 2. C. 134–141. DOI: https://doi.org/10.32782/IT/2024-2-17
Carlo Centofanti, José Santos, Venkateswarlu Gudepu, Koteswararao Kondepu, Impact of power consumption in containerized clouds: A comprehensive analysis of open-source power measurement tools. Computer Networks. 2024. Volume 245. 110371. DOI: https://doi.org/10.1016/j.comnet.2024.110371
Waseem, Muhammad. (2024). Containerization in Multi Cloud Environment Roles Strategies Challenges and Solutions for Effective Implementation. DOI: 10.13140/ RG.2.2.21439.32165. URL: https://www.researchgate.net/publication/379147591_Containerization_in_Multi_Cloud_Environment_Roles_Strategies_Challenges_and_Solutions_for_Effective_Implementation
Petrovski T., Gusev M. Container vs Function as a Service: Impact on Cloud Deployment for Real-World Applications. 2024 47th MIPRO ICT and Electronics Convention (MIPRO), Opatija, Croatia, 2024. pp. 869–874. DOI: 10.1109/MIPRO60963.2024.10569811
Devi Priya V. S., Sethuraman Sibi Chakkaravarthy, Khan Muhammad Khurram. Container security: Precaution levels, mitigation strategies, and research perspectives. Computers & Security. 2023. Vol. 135. 103490. DOI: https://doi.org/10.1016/j.cose.2023.103490 URL: https://www.sciencedirect.com/science/article/abs/pii/S0167404823004005
Falloon Mathew, Ma Hui, Chen Aaron. Energy-Aware Dynamic Resource Allocation and Container Migration in Cloud Servers: A Co-evolution GPHH Approach. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ‘24). New York, NY, USA : Association for Computing Machinery, 2024. pp. 1219–1227. DOI: https://doi.org/10.1145/3638529.3654070
Скідан В., Ніконов О., Волівач А., Pavlenko Volodymyr. Дослідження хмар- них мікросервісів на базі технології ASP.NET CORE. Technologies and Engineering. 2024. С. 50–59. DOI: 10.30857/2786-5371.2023.5.4.
Смірнова Т. В., Поліщук Л. І., Смірнов О. А., Буравченко К. О., Макевнін А. О. Дослідження хмарних технологій як сервісів. Кібербезпека: освіта, наука техніка. 2020. № 3(7). URL: https://oaji.net/articles/2020/8096-1594934081.pdf
Nascimento B., Santos R., Henriques J., Bernardo M. V., Caldeira F. Availability, Scalability, and Security in the Migration from Container-Based to Cloud-Native Applications. Computers. 2024. Vol. 13, № 8. 192. DOI: https://doi.org/10.3390/computers13080192
Cherukuri Bangar Raju. Containerization in cloud computing: comparing Docker and Kubernetes for scalable web applications. International Journal of Scientific Research and Application. 2024. Vol. 13, № 01. pp. 3302–3315. URL: https://ijsra.net/sites/default/files/IJSRA-2024-2035.pdf