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Message #01677
Re: [Question #177524]: can graphie scale to Ks of nodes at frequencies of seconds
Question #177524 on Graphite changed:
https://answers.launchpad.net/graphite/+question/177524
Nicholas Leskiw proposed the following answer:
Aha, so now we come to the crux of the matter. You want a scatter graph
mode.
Now that's a requirement I can quantify and deliver on (eventually.)
On Fri, Nov 4, 2011 at 4:01 PM, Mark Seger <
question177524@xxxxxxxxxxxxxxxxxxxxx> wrote:
> Question #177524 on Graphite changed:
> https://answers.launchpad.net/graphite/+question/177524
>
> Mark Seger posted a new comment:
> Please understand I'm not trying to be difficult. I completely
> understand what you're telling me but I still think information is being
> lost when you display anything but the original, unaltered data. Sure,
> you'll see a blip when you add up all those one's and include the 10,
> but you'd also see a blip when you have a string of 2's for that same
> interval which may be perfectly normal. My point is size does matter.
> I don't want to see a little blip when there's a significant anomaly, I
> want to see a spike. Further, if there are 2 spike in the same interval
> I want to see both of them.
>
> The way one gets around this in gnuplot is to simply plot all data as
> dots rather than lines - normally I plot lines but sometimes I use dots.
> Then if you have a couple of outliers during the same interval you still
> see both of them. I totally understand what graphite is doing and most
> users are probably very satisfied with what it does - it sure looks good
> to me for showing trends in the data.
>
> It sure looks like you've addressed the hard part - scaling up to handle
> large volumes of monitoring data and stashing it away. From my
> experiences there are always multiple ways to view that data depending
> on what you're looking for and I've seen quite a different set of ways
> to view it. A real nifty thing to do with graphite in the future might
> be to explore supporting multiple views, be they stacked lines, points
> or even radial plots.
>
> -mark
>
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