면접 필수! 트래픽 DAU가 늘어나면 아키텍처는 어떻게 바뀔까요?

When building a service, you may wonder, "Shouldn't I go with a scalable structure from the start?" However, an architecture that is not suited to the scale can actually only increase costs and complexity. The key is to identify the actual bottlenecks at the current traffic volume and evolve the structure to the necessary requirements as needed. To use a simple analogy, it is similar to starting a small shop where you don't need to build a nationwide distribution center and branch network right from the start. As the number of customers and orders increases, you simply need to separate warehouses, add checkout counters, and set up a delivery system. Software architecture must also grow step-by-step in line with the scale of Daily Active Users (DAU) and traffic. In this video, we summarize strategies for architectural evolution based on DAU scale. We explain, from a practical perspective, how to calculate peak RPS from DAU, the order in which bottlenecks shift, single servers, vertical scaling, statelessness and horizontal scaling, caching, read/write separation, replication latency, sharding, message queues, service separation, and cache stamping. 📌 Recommended for: ✅ Developers wondering how to modify their architecture as traffic increases ✅ Those who want to estimate capacity based on DAU and RPS ✅ Those confused about the timing for adopting monolithic architectures, horizontal scaling, sharding, and microservices ✅ Those who want to know criteria for scaling up their system in stages while avoiding over-design #DAU #Architecture #SystemDesign #TrafficHandling #BackendDevelopment