Performance optimization

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.

WebAssembly (WASM) has emerged as a compelling and transformative solution for executing high- performance Artificial Intelligence (AI) and Machine Learning (ML) models directly within frontend web applications. Traditionally, AI/ML model deployment has been dominated by backend servers due to significant computational demands, coupled with the performance limitations of JavaScript and the overhead of client-server communication.