Method of Increasing the Efficiency of High-Load Systems based on Microservices Architecture

Introduction. This study is relevant for the following reasons: high-load systems nowadays occupy the lion's share of all developments in the field of information technology, because they can simultaneously support a large number of requests from end users, process large amounts of data and perform complex calculations, are highly efficient, easy to change, add new functionality, provide security guarantees for user information and support scaling. The faster they grow, the harder it is to control infrastructure resources. When the system receives an increase in the audience, the frequency and number of requests increases accordingly. It follows that the more requests, the more scaling the system needs. Thus, highly loaded systems are systems that need to be scaled all the time, with the right infrastructure and overall architectural concepts. This is the complexity of implementing such solutions, but from a business perspective, it is worth the effort. The purpose of the paper is to develop a method of increasing the efficiency of highload systems at the level of architectural solutions. Methods. Information-analytical research, mathematical modeling and algorithmic analysis of approaches to improving the efficiency of high-load systems. Results. In order to develop a method for improving efficiency, the theoretical basis of the types of architecture of high-load systems is considered. A comparative analysis of the existing architectural approaches of such modern systems is carried out. Based on the principles of containerization and orchestration of application data, it was proposed to use an additional modified proxy layer for data exchange to reduce the processing time of a large number of requests. Conclusions. A method for improving the efficiency of a highly loaded system based on a microservice architecture has been developed. Using this method will allow better deployment and scaling of complex software systems in the cloud. Keywords: request, efficiency, high-load, infrastructure, architecture, scaling, microservice, container, proxy, server, cloud technologies.