It’s also easier to understand the current state of the system. In an imperative style, you need to understand every operation that has been performed to know what the current state is. In a declarative system, you just need to look at the most recent declaration.
In short, declarative is more scalable and understandable.
Another way to look at your question is to ask what is better about the imperative style? Having used both, I can’t think of any advantages. Maybe you could say you have more control with imperative, but is that control really necessary? In my experience, it is not. The additional control just makes things more complex.
And of course you can make a overly complex, hard to understand system using a declarative paradigm. But the simplest declarative system can be simpler than the simplest imperative system for achieving the same configuration.
If you don't have to debug your system in the large (why is my outcome not what I expect)
If your operators are written correctly and you don't have to debug your system in the small
Your underlying assumption is that it’s easier to write correct imperative configuration than it is to write correct declarative configuration. In my experience, this is not the case. Consider a basic task like provisioning a fleet of hosts and deploying some code to the fleet. In an imperative approach, you need two distinct steps. One for provisioning, and one for deploying. Both operations are multi-step processes that are required to be idempotent because the number of possible failures between the start of provisioning and the end of deployment is quite large. It’s not easy to write a system that does this, as there are a lot of steps that need to be enumerated via imperative scripts for both provisioning and deployment, and it’s even harder to do in a failure tolerant way.
Compare the above to a Kubernetes deployment. The entire configuration is 30 lines of yaml. There is no providing step. Kubernetes will make sure the resources you need are provisioned and it will do so in a failure tolerant way.
By contrast, bugs in imperative code can manifest simply because you happened to write it in such a way that relied on some assumption that no longer holds and your imperative code does something it should not do because its preconditions are invalid.
Declarative approaches are generally more robust because they by necessity tend to be designed to handle more diverse initial states and still reach the correct result.
[0] iirc this was not a bug in their kubernetes operator (or maybe it was, I don't recall exactly) but a situation where they didn't understand why their containers were exhibiting the anti affinity properties they were expecting out of their declarations.
Anyone who's had to do an EXPLAIN PLAN or equivalent to figure out why a SQL query is suddenly taking 40x the time to execute and return results can attest to this I think.
It's really just a preference for convenience over control.
If it can achieve whatever you want to be done, is it not more logical, natural, and human to just describe what you want the end result to be? The answer is an unequivocal "yes".
You've already received the answer. Here in this thread, but also, I'm guessing a great many times. You just refuse to accept it. As I've said, "a 'you' problem".
In my experience, describing the end result in a way the program understands is sometimes much harder than telling the program "do this".
Don't get me wrong I think the longevity of SQL shows that declarative can be the right way. However I think there's a logical leap with declarative = better.