ARCHITECTURAL APPROACHES TO THE DEVELOPMENT OF SCALABLE WEB APPLICATIONS

Abstract

This article explores modern methods and technologies for creating scalable web applications. The need for such systems is constantly growing due to the increase in data volumes and the number of users, which requires high performance and reliability. This article is devoted to the study of modern methods of scaling web applications, which is becoming one of the most pressing problems of modern programming due to the rapid growth of data and the number of users. Scalability determines the ability of a system to efficiently handle an increasing load by adding resources (processors, memory, servers) without compromising performance. Failure to comply with the principles of scalability can lead to slowdowns, failures, and loss of users, making the development of scalable web applications a priority for software engineers. This article discusses the key challenges faced by developers, including increasing server load, ensuring uninterrupted operation during peak loads, optimizing resources, and ensuring high data availability. The authors analyze and compare various architectural approaches, such as microservice architecture, use of cloud services, caching, load balancing, and asynchronous message queues. The authors provide examples of successful application of these approaches in companies such as Netflix, Spotify, Facebook, Amazon, and LinkedIn, and offer practical recommendations for choosing the optimal architecture for different types of projects, taking into account their features and performance requirements. The authors emphasize the importance of careful architecture planning at the initial stages of web application development to ensure scalability and efficiency. Prospects for further research include the development of new methods and tools to improve the efficiency of existing architectural approaches, the integration of different methods to create flexible and scalable solutions, and increased attention to security and resource management.