Faced with the explosive increase in data volume in the advertising industry, building a service architecture that can meet high concurrency demands has become particularly crucial. This article explores the architecture design and implementation path of an advertising data platform in high concurrency scenarios. Analyze aspects such as load balancing, data storage and distributed processing, cache mechanism optimization, and service fault tolerance and recovery. By introducing a distributed system architecture, optimizing traffic allocation, strengthening intelligent caching strategies, and enhancing fault tolerance, the platform can smoothly handle massive data requests, ensuring the smooth operation and high availability of the system. The proposed architecture design provides a feasible solution to address the high concurrency challenges of advertising data platforms, and provides practical references for the future expansion and optimization of the platform.

Jingtian Zhang. Design and Implementation of High-Concurrency Service Architecture in Advertising Data Platform. International Journal of Big Data Intelligent Technology (2025), Vol. 6, Issue 2: 147-155. https://doi.org/10.38007/IJBDIT.2025.060216.

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