An approach to optimizing the microservices deployment model in a highly loaded environment

Authors

DOI:

https://doi.org/10.18372/2073-4751.80.19787

Keywords:

microservice architecture, deployment diversity, load balancing, system resilience, resource optimization

Abstract

The article proposes the use of a LB-Diversity algorithm for deploying microservices to increase system stability and optimize resources in cloud architectures. Traditional microservice systems often face node failure issues and security vulnerabilities due to homogeneous deployment of identical service instances. The proposed approach addresses these issues by combining load balancing with deployment diversity, where different versions of microservices are distributed across multiple nodes. This strategy reduces the risks associated with a single point of failure and mitigates the impact of attacks targeting common vulnerabilities in containerized environments.

To analyze the experiments, our own coefficients for assessing load balancing and system fault tolerance were proposed, which confirmed the results of previous studies on the choice of the LB-Diversity algorithm compared to traditional deployment methods. The diversity of deployment approach effectively limits the damage from potential security breaches by ensuring that only a small portion of the system is affected. This model offers a practical solution for enterprises that require reliable microservice architectures with high availability and security in dynamic environments with limited resources.

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Published

2025-03-17

How to Cite

Artamonov, Y., Kotsiur, A., Krant, D., & Radchenko, K. (2025). An approach to optimizing the microservices deployment model in a highly loaded environment. Problems of Informatization and Control, 4(80), 4–15. https://doi.org/10.18372/2073-4751.80.19787

Issue

Vol. 4 No. 80 (2024)

Section

Статті

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