Worker Pooling vs. Event Loop: Balancing Throughput and Resource Utilization in Ballerina HTTP Services
When building a high‑throughput HTTP service in Ballerina, the choice between Service Workers (a new worker per request) and Event Loop workers (a shared pool) can dramatically affect both throughput and resource consumption, especially with large JSON payloads. While the official documentation describes both models, the optimal configuration depends on the