Intelligent scaling of distributed payment systems: approaches to reducing infrastructure costs in high-load economies

The article analyzes architectural principles of intelligent scaling as implemented in distributed payment systems under conditions of high transactional load. It examines the use of microservice and event-driven approaches, predictive analytics, and automated load adaptation mechanisms to enhance the resilience and flexibility of financial infrastructure. It also explores the impact of scaling strategies on infrastructure costs, evaluates resource optimization methods, including serverless models, network call management, and data lifecycle control, and assesses various risks associated with over-optimization, along with key metrics for measuring scaling efficiency.