Дослідження та виявлення аномалій для оптимізації ресурсів мікросервісів

Abstract

The modern microservices environment requires continuous improvement and optimization for efficient resource utilization. One of the key challenges in this context is the detection and resolution of anomalies in the operation of microservices. In this regard, research and utilization of neural networks are identified as a potentially promising tool for optimizing resources in microservices architecture. The goal of this work is to investigate the possibilities and use of neural networks as a potentially promising tool for optimizing resources in microservices architecture.