Microservices is a modern architecture that divides a system into small, independent, autonomous services. It solves some problems in the traditional monolithic architecture. However, applying this architecture for machine learning problems introduce new challenges such as “A container Scheduling”
Асаад Ж. (науч. рук. Авксентьева Е.Ю.) ADVANTAGES & DISADVANTAGES OF MICROSERVICE ARCHITECTURE FOR MACHINE LEARNING MODELS // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2023]. URL: https://kmu.itmo.ru/digests/article/11287