Leveraging Go Worker Pools to Scale Server-side Data Sharing - Shopify

This post details the implementation of the Go worker pool pattern to address scalability issues in the Server Pixels service. The solution involves creating a fixed number of worker goroutines that retrieve jobs from a channel, process them, and send results to another channel. Wait groups are used to ensure all in-flight tasks are completed before shutdown. This resulted in a 170% increase in event processing performance per pod, from 7.75 thousand to 21 thousand events per second.