But this is not true, is it? I thought that Haskell solution for side effects was just tagging the functions with side effects, and make the compiler handle functions with side effects as regular programs, no laziness, no memoization, no reordering. 'Monad' is just a mathematical structure that regular programs obey, also 'do notation' is just a style that allows Haskell programmers to write imperative style code.
"Call-by-need (or lazy) languages, such as Haskell, wear a hair shirt because their evaluation order is deliberately unspecified. Suppose that we were to extend Haskell by adding side-effecting “functions” such as printChar. Now consider this list
xs = [printChar 'a', printChar 'b']
(The square brackets and commas denote a list in Haskell.) What on earth might this mean? In SML, evaluating this binding would print 'a' followed by 'b'. But in Haskell, the calls to printChar will only be executed if the elements of the list are evaluated. For example, if the only use of xs is in the call (length xs), then nothing at all will be printed, because length does not touch the elements of the list.The bottom line is that laziness and side effects are, from a practical point of view, incompatible. If you want to use a lazy language, it pretty much has to be a purely functional language; if you want to use side effects, you had better use a strict language.
For a long time this situation was rather embarrassing for the lazy community: even the input/output story for purely-functional languages was weak and unconvincing, let alone error recovery, concurrency, etc. Over the last few years, a surprising solution has emerged: the monad. I say “surprising” because anything with as exotic a name as “monad” — derived from category theory, one of the most abstract branches of mathematics — is unlikely to be very useful to red-blooded programmers. But one of the joys of functional programming is the way in which apparently-exotic theory can have a direct and practical application, and the monadic story is a good example. Using monads we have found how to structure programs that perform input/output so that we can, in effect, do imperative programming where that is what we want, and only where we want. Indeed, the IO monad is the unifying theme of these notes."
https://www.microsoft.com/en-us/research/wp-content/uploads/...
First, obviously you have unsafePerformIO, so that everything can have side-effects.
Second, you have side-effects like using memory or using the CPU. You are not supposed to worry about those. Though a more serious side effect you do have to worry about is non-termination. Haskell doesn't track that in its type system.
You are right that the way input/output is handled can be described not as _side-effects_ but as _effects_ of interpreting values of the IO datatype.
Haskell was actually widely successful in showing that, no doubt about that.
There's a reason why Monads aren't exactly monadic and why IO was the original monad in GHC -as well as why non-lazy, non-super-pure languages never really go for Monads
The way JavaScript handles async is pretty close to monadic. Error handling via the local equivalent of Maybe / Either is monadic. Tuples are monadic. Sequences can be monadic. Etc. Some languages have a flexible enough type system to expose this (like Haskell), some don't. Some like Rust generally don't expose monads to the type system, but their users are aware enough of the shared monadic structure that you can see it reflected in the naming conventions for functions that do essentially the same thing (in a monadic sense) but for different structures.