
This article explores the architectural evolution of a pet project facing increasing traffic. The author shares their experience moving from a single powerful server to more scalable solutions. The core issue was that heavy computations blocked simple requests, leading to timeouts and growing queues. The author analyzes architectural approaches used by large companies and adapts them for smaller projects. The material details the importance of separating short request streams from long-running computational tasks, as well as the necessity of balancing specific resources that become system bottlenecks. The article offers practical advice on infrastructure optimization, helping developers understand why simply upgrading server hardware is not a universal solution for growing services.
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