ANALYSIS AND COMPARISON OF CONTAINER ORCHESTRATION TOOLS IN ON-PREMISES AND CLOUD INFRASTRUCTURE

Herald of Kazakh-British technical university, 2026

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.55452/1998-6688-2026-23-1-22-36
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

In large-scale cloud environments, virtualization plays a key role not only in application deployment and workload distribution but also in the effective management of platform services and resources. The use of containerization technology, alongside traditional approaches such as virtual machines, is becoming increasingly popular in modern cloud infrastructures. Containers provide a simpler and faster method of virtualization compared to virtual machines, accelerating the deployment and management of applications in isolated environments and thereby enabling more efficient resource utilization. For developers, containers offer a convenient solution for testing application components and building microservice-based architectures. As a result, containerization is becoming the preferred solution for modern cloud environments and current business needs. Therefore, this study is dedicated to examining modern and widely recognized container technologies. The article analyzes contemporary containerization and orchestration technologies using parameters such as container performance, scalability, and resource management. Particular attention is given to orchestrators such as Docker Swarm, Kubernetes, and Apache Mesos, as well as a range of container-based solutions, with an evaluation of the advantages and disadvantages of each technology. This work may be useful for IT specialists in selecting the most appropriate tools for application development and the implementation of their cloud strategies.