graphite-dev team mailing list archive

[Nicholas Leskiw <nleskiw@xxxxxxxxx>]

That sounds like a pretty fast system.  Maybe Chris can talk about speedup configuration changes you can try.


-Nick

On Jul 31, 2011, at 4:51 PM, Steve Thompson <question166527@xxxxxxxxxxxxxxxxxxxxx> wrote:

> Question #166527 on Graphite changed:
> https://answers.launchpad.net/graphite/+question/166527
> 
>    Status: Answered => Open
> 
> Steve Thompson is still having a problem:
> Disks - The disks in the quads and the dodecs are server grade SSDs -
> they're mirrored though, I haven't played with striping/5/10, but
> they're not much of a bottleneck.
> 
> Datasets - I work for a 1600-transacations-per-minute-at-peak business.
> Our backend is lots of Java and Oracle with some other bits like Redis
> and MySQL thrown in. Currently we're in the process of experimenting
> which is why I asked this question. I understand that hundreds of
> dataset with thousands of datapoints and various retentions is going to
> have a performance hit BUT my current observations are based purely on
> my made up files that I mentioned in my OP. The quad core machine is
> currently receiving metrics from an Oracle database collected every 30
> seconds. Because of the extra overhead this would put on a production
> database I don't see it being any faster. I can think of a few places
> where we might go down to 10 seconds but I don't see it being more than
> that.
> 
> I'm happy to provide anyone with as many details as needed but just want
> to clarify that my question is "How do I make sure I'm going as fast a
> possible" not "How can I go faster". If what I'm getting is top speed
> then I'm happy with that - I just want to be sure. An example, although
> made up and slightly silly, of what I mean is "should I rebuild Python
> with ../configure --with-use-multiple-core-processors --with-go-really-
> fast"?
> 
> Steve
> 
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