Modern enterprise software design has fundamentally shifted away from monolithic, single-threaded runtimes toward decoupled, containerized architectures. When building systems that handle high throughput — such as fintech services, automated reporting pipelines, or real-time distributed platforms — engineers must address two core infrastructure vectors: high-concurrency connection management and deterministic relational state execution. A common anti-pattern in backend systems engineering is assuming that containerization automatically scales an application. In reality, wrapping a poorly optimized, blocking database service inside a Docker container simply shifts the performance bottleneck from local computing hardware to network sockets and thread pools.