Analyzing system performance and fault tolerance when migrating to a microservices architecture

At the current stage of programming language development, composing program files and classes is a non-standard task. These structural units can be viewed as isolated service elements. Programmers use this approach to delimit the locations of executable files. This study examines several approaches to creating software systems, starting with a monolithic structure. Its advantages and disadvantages are discussed. The search for new forms is justified by advances in logic in developer software modules related to improving performance, building program connections, and expanding the scalability of high-load systems. Typically, any application consists of many small, independent software products. Programming languages employ a specific architectural style based on the development of autonomous and loosely coupled software modules. This formed the basis for the emergence of microservice architecture. Developers and programmers approach system architecture issues with caution. The results presented in this article are the result of research into both the construction of language structures and the applications themselves. Microservices have long been a foundation of programming languages. When building applications, especially large and monolithic ones, it is recommended to use various narrow blocks, such as those found in microservice architecture. This allows the application to utilize multithreading, thereby increasing task execution speed. Furthermore, scalability and fault tolerance are activated as the system load increases. To understand the application's logic, this paper examined an application solving the problem of calculating the shortest distance between points using three methods. The application was scaled to n instances. Fault tolerance was confirmed by the fact that if one service fails, the load is distributed to the others. Java with the SpringBoot framework was used.

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