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Comment by mrkurt | Hacker News Reader

It is a spicy take. I agree that Varnish and commodity CDNs are more efficient per pageview than hitting any kind of full stack app process. Most devs can probably ignore efficiency, though. Making things fast for users will take them a long way.

My spicy take is really "in the context of full stack apps". CDNs are amazing for, like, Netflix. And Wikipedia. They're really, really good for one to many files.

With Fly, you do flip it around. And you might find out you don't really even need a cache. Rails + Postgres read replicas are pretty dang fast with one less moving piece. We have an awful lot of users who just do in process caching and hit their DB when they need to, it's pretty cool.

ESI seemed so promising when I first read about it. Then I realized I couldn't actually _use_ it anywhere. I'm still kind of aggravated at how excited it made me.

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I am currently finding Rails view generation to be shockingly slow. (no DB query involved, just the view generation computation). I guess I do too many complicated things in my view generation.

(But one thing I don't currently do that has always looked shockingly slow when I've measured it, is Rails i18n. But in general, I'm kind of surprised to find you saying Rails view generation is pretty dang fast! It's always seemed to me like the Rails answer was "yeah, we know, that's why you cache." But now I wonder what I'm doing terribly wrong...)

> I am currently finding Rails view generation to be shockingly slow.

I haven't checked this in a few years, but the last time I looked each `render` call reads the partial off disk, parses it, and executes it.[0] So the common pattern of looping over a collection of objects and rendering a partial for each one is going to hurt a lot. And of course Rails makes tons of allocations, so often you'll see one of those iterations take x00ms as Ruby does some garbage collection.

[0] https://softwareengineering.stackexchange.com/a/365912/29612...

> each `render` call reads the partial off disk, parses it, and executes it

I think it does not do that in 'production' settings, but I'm not sure. I know it does less touching of disk and parsing in production mode, it doens't do all that you mention (that's what the `cache_template_loading` setting controls) -- but I'm not sure it does none of any of that, it may still do things that conceivably seem like they oughta be be cached, not sure.

In default "development" mode settings -- yes, partial template is definitely much slowed down by going to disk and parsing on every request and/or every invocation.

I just re-tested on Ruby 3 & Rails 7, and even in development it no longer minds if I rename the erb file in the middle of iterating---so that's an improvement for sure!

I found a Rails issue tracking partial performance in a loop (https://github.com/rails/rails/issues/41452), and it looks like they are still working on improvements. No activity since May though.

Rails view generation is shockingly slow. I would definitely cache partials, I just wouldn't run Redis to do it if I could help it!

Rails is basically the worst case framework for our model, so we were excited when we got it working. You still have to work hard to make Rails fast, we just give you the last mile for almost-free.

OK, phew, it's not just me!

I guess I misinterpreted when you said "And you might find out you don't really even need a cache. Rails + Postgres read replicas are pretty dang fast."

You actually meant, you might not need a CDN cache... if you have some other kind of cache (which btw ideally isn't redis if you're using our model anyway)... because Rails actually isn't pretty dang fast at all?

OK then! :)

Rails very slow view rendering is one of the worst parts of it. GitHub's view_components library has some performance improvements that can be substantial in some cases. I wish someone would port how Elixir Phoenix does views, which is extremely fast.

ESI, at least on fastly, are run in serialized fashion. On cloudflare workers, you can have up to 6 concurrent connections to try to do ESI as fast as the slowest request.

There's now a free Varnish VMOD to run ESI requests in parallel: https://code.uplex.de/uplex-varnish/libvdp-pesi

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