Cloud architecture server placement strategies?

04 Tem 12:38

When designing a global architecture for an e-commerce platform within the same project, we initially tried a centralized approach. We served all regions through a single co-location data center and a CDN. Performance was actually good, but users from the US and Asia had TTFBs (Time to First Byte) consistently around 120-150ms. Plus, during a fiber outage in Singapore, the entire platform was almost inaccessible for 6 minutes—global caches were synchronized with the single data center, and the backup process wasn’t distributed enough. Later, we shifted to a microservices architecture across three key regions: Europe (Frankfurt), the US (Virginia), and Asia (Tokyo). Data placement was optimized for local users—for example, users in Europe were directed to the Frankfurt cluster, and those in Asia to Tokyo. Costs increased slightly, but US-based online traffic dropped by 30% since data was now transferred more locally. To maintain global synchronization, we implemented an Event-Driven Architecture, keeping inter-region sync latency under 40ms. Ultimately, we struck the most balanced trade-off between cost, resilience, and performance. Before starting any new project, we now always analyze user geography and simulate outage scenarios—we learned that the hard way after many sleepless nights.