INTEGRATING PROMETHEUS MONITORING INTO THE COMPARATIVE FRAMEWORK OF VIRTUAL MACHINES AND DOCKER CONTAINERS
Keywords:
Containerization, Docker, Virtualization, Virtual Machines (VM), Docker Engine, Docker Images, Docker Containers, Dockerfile, Client-Server Architecture, Prometheus, Grafana.Abstract
This article examines Docker containerization as a modern approach to application deployment and virtualization. Containerization packages applications with their dependencies, system libraries, and configurations into portable containers that ensure consistency across environments. Unlike traditional virtual machines that rely on hypervisors and full operating systems, Docker containers share the host OS kernel, making them smaller, faster to start, and more resource-efficient. The study outlines the four main Docker components—Containers, Client-Server architecture, Images, and Engine—and explains how they interact to build, run, and manage applications. A comparison between virtual machines and containers is presented, highlighting advantages such as scalability, portability, and rapid deployment, alongside challenges including security, storage persistence, and compatibility. The paper also describes methods of creating Docker images through base templates or automated Dockerfiles. Finally, it emphasizes the integration of Docker with Prometheus and Grafana for real-time monitoring, visualization, and performance optimization, showing how containerization supports agile, scalable, and reliable IT infrastructures.
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