Cachier: Persistent, stale-free local/cross-machine caching for Python functions

[aviatoAviary]

https://github.com/shaypal5/cachier

[anentropic]

Why Mongodb as a cache backend, rather than something like Memcache or Redis?

[lumpypua]

While we're talking about python caching libraries, I'd like to recommend https://github.com/codeinthehole/django-cacheback

"It's an extensible caching library that refreshes stale cache items asynchronously using a Celery or rq task. The key idea being that it's better to serve a stale item (and populate the cache asynchronously) than block the response process in order to populate the cache synchronously."

[beernutz]

What does "stale-free" mean in this context? That term appears to be a little hard to google.

- edit: spelling

[emmelaich]

Something like this could be the basis of an improvement in Ansible.

At a guesstimate 70% of Ansible tasks are common code yet are transferred to the controlled machine every single time.

[616c → emmelaich]

I was reading about PowerShell remoting and discovered one of the benefits of remoting is what you want out of something like this applied to Ansible: code blocks modules and other data can be handled across machines implicitly or explicitly.

I think such things abstracted out to a Python C&C system would be amazing myself.

[emmelaich → 616c]

Well Pyro has been around for a long time; I haven't looked at it closely so I don't know why it doesn't seem to have a lot of mindshare. Certainly sounds great.

http://pythonhosted.org/Pyro4/

There are other distributed options as well.

https://wiki.python.org/moin/DistributedProgramming

[vosper]

I can't see the cross-machine part being useful unless you are already running a MongoDB cluster, because that's a pretty big dependency.