Hello Riak users!
Let me first present on a simple example what I can see as an
application that 'scales':
If a have a web server (e.g apache) serving 100Gb of files and I get
4000 GET per seconds, one way to scale the application is to copy
(rsync) the 100Gb to another web server and balance the load on the two
nodes: that way, globally my cluster of 2 nodes can serve 2 x 4000 GET
per seconds.
I can say that my architecture scales as if I multiply by 2 the number
of nodes, then I can multiply by 2 the number of requests that the
system can handle (per second).
With Riak, I am not sure to understand how the scaling works. Are we
speaking about a global 'key GET' rate (request per second) that scales
with the number of nodes added?
My web server example above also assumed that all the data (100Gb) could
fit into a single node. As I understand Riak could be used to serve data
too large to fit on one disk. So maybe the scaling is about the data
itself: a web client (browser) will not see a speed difference in the
response from a riak cluster serving K keys with N nodes and another
riak cluster serving 2*K keys on 2*N nodes.
Also the number of replicas role in scaling is not clear to me: it seems
to me that having a lot of replicas speeds up reads but slows down
writes. Is there a simple scaling law for this?
Thanks in advance,
TuX
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