That sounds interesting. Particularly if some logic could be introduced so
that the logarithmic scale was used only when a particular threshold had
been exceeded.
"Jim Eshelman"
<[EMAIL PROTECTED]
is.com> To
Sent by: "Alex van den Bogaerdt"
rrd-users-bounce@ <[EMAIL PROTECTED]>,
list.ee.ethz.ch [email protected]
cc
Jeffrey
10/12/2006 09:31 Petter/EMPL/NY/[EMAIL PROTECTED]
AM Subject
[rrd-users] Re: How to handle upper
limit spikes
That looks like a very handy solution.
How about using a logarithmic y scale as another solution that will show
the whole story on the graph?
________________________________
From: [EMAIL PROTECTED] on behalf of Alex van den Bogaerdt
Sent: Thu 10/12/2006 9:08 AM
To: [email protected]
Subject: [rrd-users] Re: How to handle upper limit spikes
On Thu, Oct 12, 2006 at 08:53:07AM -0400, [EMAIL PROTECTED]
wrote:
> I'm graphing various firewall data, and one of the graphs shows the
number
> of connections along with accepted packets. Typically, the number of
> connections may be in the neighborhood of 30,000 and the packets may be
in
> the 1,200 - 1,800 range. Then, every other day, sometimes more
frequently,
> there will be a spike in packets sending it up over 10 M, which skews the
> scale so severely that it makes the graph meaningless for 24 hours until
> the spike has passed. I have played around with setting an upper limit,
but
> then the real story of the spike is never told. Is there a way to somehow
> note the spike, but still keep the graph in some meaningful perspective?
something like:
DEF:realdata= ...etc...
CDEF:despiked=realdata,2000,GT,INF,realdata,IF
LINE2:despiked#0000FF:despiked
GPRINT:realdata:MAX:%6.2lf
after debugging this, you should end up with:
plotting all data upto 2000 as is, data above 2000 will just
reach top of graph but does not influence scaling.
Printing the maximum uses realdata, thus shows 10,000,000.
Isn't there a similar example in one of the tutorials?
--
Alex van den Bogaerdt
http://www.vandenbogaerdt.nl/rrdtool/
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