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All,

I have an in-process "service" that stores valid nonces on a server
for a particular set of client operations. The nonces are created
once, then expire after a certain amount of time. They never change.
I'd like to make this in-process service into an out-of-process
service that can be accessed by any node in my cluster, basically
acting like a communal hash map.

Memcached is the perfect application for this kind of thing, right? It
is fast and simple, plus supports key expiration out of the box.

Doing a bit of reading (I've never actually used memcached before), it
seems like memcached is better-suited as a /cache/ -- that is,
something that sits between a slow data source and clients. They
suggest that you /not/ configure "failover" but instead allow a dying
node in your memcached cluster to simply die and consider the data
lost: go back to the canonical data source and re-fetch the data. In
my case, I have no (other) canonical data source: I just want to use
memcached.

(Note that if the whole service were to fall-over and I had to restart
the nonce-storage cluster and start with a completely empty
"database", it wouldn't be the end of the world. There would be a lot
of grumbling, because everyone would have to request new nonces and
re-start any transactions that were using them.)

Also, the memcached servers don't really know about each other, right?
So, it's not really a big, shared hashtable. Instead, it's like a
bunch of separate hash tables and the client knows which server ought
to have the data when it requests it based upon the key.

Am I barking up the wrong tree by looking at memcached? Is there
something else that would be better for me? It's a simple enough set
of requirements that writing it myself could be done easily. Then
again, it's a simple enough set of requirements that someone /must/
have done this before me.

Thanks,
- -chris
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