Open Access
American Research Journal of Computer Science and Information Technology
ISSN (Online): 2572-2921
DOI: 10.46568/arjcsit
Models for Managing the State of Microservices Under High Load Dynamics
Abstract
In conditions of high dynamics of load on microservice architectures, managing the state of services becomes a
critically important task. Traditional approaches do not always provide the necessary flexibility and adaptability, which
requires the development of new management models and methods. This paper examines modern models designed
to effectively manage the state of microservices, with an emphasis on their adaptation to changing load conditions.
Various approaches to load balancing, automatic scaling, and fault tolerance are being evaluated. It is shown that the
integration of machine learning methods and intelligent control systems can significantly increase the stability of the
microservice architecture to load changes and minimize response time. As a result of the research, a comprehensive
state management model for microservices is proposed, capable of adapting to dynamic conditions and ensuring high
availability and system performance.
