The article explores the architecture of efficient and high-performance distributed on- line transaction processing systems, leveraging cloud-based tools, cloud-native architectural approaches, and database replication methods. It focuses on reducing network latency, opti- mizing resource usage−and consequently, costs−enhancing data replication, and improving fault tolerance. This article provides a practical demonstration of how modern cloud solutions and technologies enable the rapid and efficient development of enterprise-level distributed online transaction processing systems. The approaches discussed can be applied both to individual subsystems and as a comprehensive architectural strategy. The study examines key principles of system architecture design, selection of technologies to ensure performance and fault tolerance, and modern deployment methods for web applications. It highlights the importance of containerization and orchestration in simplifying infrastructure management. Additionally, it delves into automatic scaling mechanisms that dynamically adjust system resources in response to workload changes, ensuring optimal resource utilization. The proposed methods and approaches are relevant to developers, architects, and researchers working on building or optimizing modern OLTP applications. They provide valuable insights for building high-performance, scalable, and fault-tolerant systems.
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