[name] asked: have you worked with caching levels — in-memory and distributed? do you know about channels and select in Go?

Yes, I have worked with different levels of caching. In-memory caching is usually implemented using data structures in the process memory, such as a map or specialized libraries like groupcache or bigcache. It is fast but limited by the memory of a single server.

Distributed caching (for example, Redis, Memcached) allows storing data in shared memory across multiple application instances, which improves scalability and fault tolerance.

In Go, channels are a means for communication between goroutines, allowing safe data transfer and synchronization.

The select operator allows waiting on multiple channels simultaneously and reacting to the first available one, which is useful for implementing timeouts, multiplexing, and handling multiple event sources.

Example of using select with channels:

ch1 := make(chan int)
ch2 := make(chan int)

select {
case val := <-ch1:
    fmt.Println("Received from ch1:", val)
case val := <-ch2:
    fmt.Println("Received from ch2:", val)
case <-time.After(time.Second * 1):
    fmt.Println("Timeout")
}