What problems are caching strategies supposed to solve?

On the nova compute side, it seems like streamlining db access and
api-view tables would solve any performance problems caching would
address, while keeping the stale data management problem small.

"Sandy Walsh" <sandy.wa...@rackspace.com> said:

> o/
> 
> Vek and myself are looking into caching strategies in and around Nova.
> 
> There are essentially two approaches: in-process and external (proxy).
> The in-process schemes sit in with the python code while the external
> ones basically proxy the the HTTP requests.
> 
> There are some obvious pro's and con's to each approach. The external is
> easier for operations to manage, but in-process allows us greater
> control over the caching (for things like caching db calls and not just
> HTTP calls). But, in-memory also means more code, more memory usage on
> the servers, monolithic services, limited to python based solutions,
> etc. In-process also gives us access to tools like Tach
> https://github.com/ohthree/tach for profiling performance.
> 
> I see Jesse recently landed a branch that touches on the in-process
> approach:
> https://github.com/openstack/nova/commit/1bcf5f5431d3c9620596f5329d7654872235c7ee#nova/common/memorycache.py
> 
> I don't know if people think putting caching code inside nova is a good
> or bad idea. If we do continue down this road, it would be nice to make
> it a little more modular/plug-in-based (YAPI .. yet another plug-in).
> Perhaps a hybrid solution is required?
> 
> We're looking at tools like memcache, beaker, varnish, etc.
> 
> Has anyone already started down this road already? Any insights to
> share? Opinions? (summit talk?)
> 
> What are Glance, Swift, Keystone (lite?) doing?
> 
> -S
> 
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