Re: [rrd-users] trying to understand the relationship between

This is a discussion on Re: [rrd-users] trying to understand the relationship between within the RRD Users forums, part of the Networking and Network Related category; Simon Hobson wrote: > Mark Seger wrote: > >> The thing that's interesting about this whole situation is ...


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Old 07-21-2007
Mark Seger
 
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Default Re: [rrd-users] trying to understand the relationship between



Simon Hobson wrote:
> Mark Seger wrote:
>
>> The thing that's interesting about this whole situation is that on one
>> level rrd appears to draw a cleaner graph and the gnuplot one looks a
>> little fuzzier, but I also think the gnuplot provides valuable
>> information that gets lost, and probably missed with rrd. If my
>> examples were disk performance numbers rrd could have led someone to the
>> conclusion that everything was running just fine at a load of 20 while
>> gnuplot shows there's really a range from 0 to 20 and things are not
>> fine. If you zoom into the rrd data you definitely can see see the
>> details of the drop off, but my fear is how many people would bother.
>> They would see the day long data and think everything is fine.
>>

>
> On the other hand, I can't remember when it was, but I certainly
> learned about the basic arithmetic functions of min, max, and average
> at school. RRD is simply a tool, as is GNUplot.
>
> What I would say is that if you want to plot every datapoint, as
> collected, with no normalisation or consolidation then rrd is
> probably not the right tool - you should plot with GNUplot.
>
> What rrd does do (very well) is allow you to collect detailed numbers
> and balance the storage and processing requirements vs the need to
> keep detailed numbers for a long time - eg collecting every 5 seconds
> for a few hours, but dropping the resolution to make it practical to
> store data for a whole year.
>

yes, I agree completely about the ability about rrd's strength being to
be able to store data long term. but if take a sample every 5 seconds
but then can't look at it at that granularity what's the point? I did
see the suggestions about using multiple lines/averages for each
variable, and if you only have a few I suppose that could work too, but
I'm trying to deal with hundreds. perhaps the best compromise is to use
gnuplot for fine grained plotting and using rrd for archiving.
-mark
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