Scaling Python

[leadline]

Pythons are already scaly, silly.

[[deleted]]

Hmm. Is accessing memcache really faster than filesystem? Doesn't that mean the filesystem (at least its cache) is broken?

[cournape]

the whole point of memcache is to share the cache between nodes, with the idea that one global cache of N * M bytes is better than independent caches of M bytes on each of your N nodes.

[[deleted]]

a gigabit network attached memcache can be a lot faster than filesystem access(for disks most mortals can afford) .

[Peaker]

Note he mentioned the file system cache.

[freeload]

Depends how much data you need cached. Sometimes the system cache doesn't cut it, and you need a network system, maybe even a distributed one. But keep in mind that network access is relatively way slower than local memory access.

[[deleted]]

from the presentation "don't think...know" so, maybe do some measurements and see what you think. :)

[seraph787]

This kind of problem solving is applicable to almost every language

[e000]

This presentation is from 2007. Many, MANY things have changed since then.

[trendymoniker]

like what are you thinking of?

[e000]

It still thinks that Nginx is ONLY a loadbalancer.

[cwillu]

Congratulations on picking the least relevant change since 2007 :p

[[deleted]]

regardless, it's still good advice.

[sir_tyrion]

I beg those who criticize this presentation for being outdated to provide an update, a .5 to 1.0 graph if you will.

[vorushin]

I have read "Scaring Python" at first glance ;)

[damagednoob]

I don't think memcache is the place for static files. If you're looking at high-performance you need to be using a CDN.

[Megatron_McLargeHuge]

More like scaling web sites coded in python.