ARCHITECTURAL AND ALGORITHMIC METHODS FOR ENHANCING THE RESIL-IENCE OF HIGH-LOAD BACKEND SERVICES IN THE FINANCIAL SECTOR

Abstract This article examines architectural and algorithmic methods for enhancing the resilience of high-load backend services operating in the financial sector. Key architectural approaches are explored, including microservice design, replication, sharding, component distribution, and the use of observability tools aimed at ensuring uninterrupted operation and system scalability. It also investigates various algorithmic strategies for load management and transaction processing, such as load balancing, rate limiting, backpressure, circuit breakers, idempotency, and deduplication, which contribute to stable system behavior under overload and partial failure conditions.