Have you worked with high-load services?

Yes, I have experience working with high-load services in Go. In such projects, the key tasks were ensuring high performance, scalability, and stability.

For this, I used:

• Efficient management of goroutines and channels for parallel request processing.
• Optimization of database interactions, including connection pooling and caching.
• Load balancing and horizontal scaling of services.
• Profiling and performance monitoring using pprof and other tools.

For example, to reduce latency in a high-load API, I implemented a worker pool that processes tasks asynchronously, which helped unload the main thread and increase throughput.

Type Job struct {
    Payload string
}

func worker(jobs <-chan Job) {
    for job := range jobs {
        // process task
    }
}

func main() {
    jobs := make(chan Job, 100)
    for w := 0; w < 10; w++ {
        go worker(jobs)
    }
    // send tasks to channel
}

This approach helps to efficiently utilize resources and withstand high loads.