Data Transfer Architecture: Moving Massive Payloads Between Services Without Overloading the Network 1. Why Moving Data Is Often Harder Than Processing It Moving large files and massive data payloads between distributed services often breaks production systems long before computational logic runs out of CPU cycles. While modern microservices excel at executing discrete business logic on small JSON payloads (e.g., < 16 KB ), scaling those same patterns to multi-gigabyte or mu...