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ANALYSIS OF THE MICROSERVICES EFFICIENCY USING IN THE WEB APPLICATIONS DEVELOPMENT

The paper presents an analysis and research on the performance of a WEB platform and the efficiency of using cloud technologies and microservice architecture. The study examines the key aspects of transitioning from a monolithic architecture to the microservices and cloud technologies, including the decomposition of the system into independent services, which improves data processing and storage and allows for greater efficiency. Additionally, a comparative performance analysis of the system using both architectural approaches is conducted.

Business scaling: International expansion strategies

In a globalized world, international expansion has become much more accessible. But despite this, entering new markets is still a difficult marathon that requires clear planning and careful preparation. In most cases, system expansion can take years or even longer, depending on the specifics of the product and the chosen method of market penetration.

MIGRATION OF SERVICES IN A KUBERNETES CLUSTER BASED ON WORKLOAD FORECASTING

The article delves into the intricate challenge of scaling microservices within a Kubernetes cluster, thoroughly examining existing methodologies for scaling microservice architectures, and presenting a novel approach that involves migrating specific components. Unlike the conventional horizontal and vertical scaling strategies, which require additional resources, this proposed method focuses on migrating non-critical components to another Kubernetes cluster.

Research of data mining methods for classification of imbalanced data sets

With the rapid development of information technology, which is widely used in all spheres of human life and activity, extremely large amounts of data have been accumulated today. By applying machine learning methods to this data, new practically useful knowledge can be obtained. The main goal of this paper is to study different machine learning methods for solving the classification problem and compare their efficiency and accuracy.