Optimizing microservices architecture performance in fintech projects

The article explores methods and approaches to optimize microservices architecture performance in fintech projects. Special attention is given to selecting technologies and tools for efficient service interaction, minimizing latency, ensuring scalability and reliability. Key aspects such as the use of REST and gRPC, asynchronous message queues, service meshes, as well as load balancing and dynamic scaling are analyzed. Practical solutions for improving performance under high requirements for financial services are presented, along with recommendations for monitoring and testing.

1. Финансовые технологии как инструмент управления долговой нагрузкой населения / А.Д. Захаров, В.Н. Грепан, И.Ю. Благова [и др.] // Первый экономический журнал. – 2024. – № 9 (351). – С. 87–96.

2. Sun Y. A Comparative Study of Application Performance and Resource Consumption between Monolithic and Microservice Architectures [Electronic resource] // Helsinki University Library. – URL: https://helda.helsinki.fi/items/c9117b35-318d-4e42-8c60-38f607e0d3d1 [Accessed 23rd December 2024].

3. Lytvynov O.A. Critical causal events in systems based on CQRS with event sourcing architecture / O.A. Lytvynov, D.L. Hruzin // Radio Electronics, Computer Science, Control. – 2024. – No. 3. – P. 119–143.

4. Sandberg F. Evaluating OpenTelemetry’s Impact on Performance in Microservice Architectures [Electronic resource]. – URL: https://umu.diva-portal.org/smash/get/diva2:1877027/FULLTEXT01.pdf [Accessed 23rd December 2024].

5. Кузнецов И.А. Оптимизация распределенных систем для мобильных приложений: улучшение производительности и масштабируемости / И.А. Кузнецов // Инновационная наука. – 2024. – № 5–1. – С. 52–57.

6. Leg R. gRPC vs REST speed comparison [Electronic resource] // SHIFT ASIA | Dev Blog. – URL: https://blog.shiftasia.com/grpc-vs-rest-speed-comparation/ [Accessed 23rd December 2024].

7. Werner S. A reference architecture for serverless big data processing / S. Werner, S. Tai // Future Generation Computer Systems. – 2024. – Vol. 155. – P. 179–192.

8. Behera T.K. From Reactive to Proactive: Predicting and Optimizing Performance for Competitive Advantage / T.K. Behera, D.M. Dave // Transforming Industry using Digital Twin Technology. – Cham: Springer, 2024. – P. 69–93.

9. Performance and Scalability [Electronic resource] // Istio. – URL: https://istio.io/latest/docs/ops/deployment/performance-and-scalability/ [Accessed 23rd December 2024].