DATA CACHING IN SERVERLESS APPLICATIONS

Abstract

The response time of a modern web service is a crucial characteristic that has significant importance for meeting user needs. Users who receive instant responses from a web service perceive it as more convenient and appealing to use. At the same time, it is important for developers to quickly and efficiently deploy and scale their applications with minimal costs for maintenance and infrastructure. Therefore, the widespread adoption of cloud technologies for developing and deploying various applications is gaining popularity, and the ability to cache data allows for significant improvements in the performance of developed software. The purpose of the work is to consider various existing options for data caching in the cloud environment using AWS as an example and to justify the use of serverless architecture, which has become a new approach for deploying web services in the cloud environment. The methodology of the comparative analysis involves presenting the main principles of operation, features, and limitations for FaaS (Function as a Service) on AWS, reviewing existing tools for implementing data caching, such as Amazon ElastiCache for Redis, API Gateway Caching, and CloudFront in front of API Gateway. The use of a simple web service to retrieve a schedule of classes in an educational institution for a specified day of the week, consisting of serverless components such as Amazon API Gateway, AWS Lambda, and Amazon DynamoDB, is considered. A comparison of the performance of the created web service using different approaches to data caching is conducted by deploying four different application variants with the mentioned data caching options and preparing tests for load testing using the Locust framework. The scientific novelty of the results obtained in the work is formulating possible strategies for implementing caching for web services deployed in a cloud environment. Conclusions. The implementation of data caching has shown its effectiveness in increasing the performance of the web service. Furthermore, justifying the choice of serverless components for implementing data caching remains relevant in the future.