Performance Evaluation of Selected Containerization Methods in Web Services Applications

Abstract

This paper evaluates the performance of selected containerization methods. As part of the re-search, infrastructure was created using Google Cloud public cloud, and then load tests were con-ducted for each containerization method using Apache JMeter. The study has shown that choosing the right containerization method depends on the service to be implemented. It was demonstrated that the highest performance was achieved by combining Podman with Docker. An example imple-mentation and performance of Kubernetes technology, together with Docker and autoscaling using Google Cloud, was demonstrated. The project demonstrates high educational value by combining theory with practice through cloud-based infrastructure testing using Google Cloud and Apache JMeter. It helps learners understand container behavior under load, resource usage, and orchestration techniques. Additionally, the study emphasizes critical decision-making in selecting appropriate technologies based on specific service requirements. It serves as a practical teaching tool for IT and computer science education, offering insights into real-world DevOps workflows, scalability strate-gies, and performance optimization.