I didn't mean to imply it wasn't ever possible. Just that the subset of things that it works great for is smaller than people wish, or believed. That "I'll write in Ruby and optimize in C when I need to" is a myth on the order of the "sufficiently smart compiler". There are things for which it just plain doesn't work. Things that are quite common.

Yes, you can make image transformations for your webapp fast by piping in a C-extension, because the C code can control the i/o and data organization as well as the algorithms. The integration surface is tiny. You can't, however, make the language's memory usage and garbage collection faster. At least not as easily. You won't be "dropping into C" to fix your garbage collection problems, at least not in the way people dream of when they think of "performance problems" at the outset.

If your memory usage and gc speed are of critical concern, then you should really know that ruby is just not going to provide the tools you need to handle that. That's like using a hammer when you need a screwdriver. Even the most modifiable hammer is still meant for pounding, not screwing.

Whenever I see "I'll write in Ruby and optimize in C when I need to" I assume the context of "my program is well suited to be written in Ruby." For instance, I certainly wouldn't write embedded code in ruby. However, I would venture to say that these situations are the exception rather than the rule.

These days most software has access to fairly reasonable computational resources. If you're writting microcode for some industrial control system, or calculating stock price variations with micro-second resolution then certainly stick to C or ASM or what have you. However, in an age when even a fridge will have a few hundred MB of memory, and when a lot of code is meant to be just "good enough" I think even ruby will suffice.

In a way you actually do fix the garbage collection problems by dropping down to C. One of the main performance hit in tight loops in Ruby is usually object allocation and GC. If you drop down to C you can handle the memory manually and avoid most of the allocations.

Now, imagine if you hadn't had to profile at all, or even drop to C, because you'd written algorithmically efficient code, and could rely on the runtime executing it well?

Think of all the saved time ...

The context changes are what can take a while IMO opinion.