Intelligent optimization of high-concurrency distributed systems

Abstract

This section of the monograph addresses the challenges of high-load e-commerce platforms under conditions of peak traffic and increasing business complexity. The limitations of monolithic architectures are analyzed, including latency, lock contention, and database overload. A solution based on microservice architecture, multi-tier caching, elastic scaling, and intelligent resource management is proposed. The study justifies dynamic performance optimization considering the constraints of the CAP theorem. The results demonstrate improved system responsiveness, stability, and traffic monetization efficiency. The proposed approach is applicable to other distributed systems with a high level of parallelism, providing a basis for designing scalable and resilient architectures.