The web is flooded with examples of how to use the popular MRTG software for plotting more exotic SNMP OIDs than just network traffic.
One of the more popular variables to graph seems to be the load average of a given system, but all of the examples I have stumpled upon online compromise when it comes to plotting the load average as a floating point value.
It is, however, possible to post-process the gathered statistics before plotting the graph and the legend using the
Factor keywords as shown in the example below:
Options[load]: gauge, nopercent, noo Target[load]: 22.214.171.124.4.1.2021.10.1.5.2&PseudoZero:public@localhost MaxBytes[load]: 100 Title[load]: 5 Minute Load Average PageTop[load]: <h1>5 Minute Load Average</h1> YLegend[load]: Load Average ShortLegend[load]: Legend1[load]: 5 Minute Load Average Legend3[load]: Maximum Observed Load Average LegendI[load]: Load Average: YTicsFactor[load]: 0.01 Factor[load]: 0.01
The above example will gather the 5 minute load average as an integer value (average load x 100) of localhost and use a scaling factor of 0.01 before actually plotting the graph.
Judging from the examples I have found online, the
noo option and the
PseudoZero pseudo OID used in the example are other, often overlooked features of MRTG. The
noo option specifies that no “Output” graph shall be plotted while the
PseudoZero pseudo OID always returns 0 (whereas
noi disables the “Input” graph and
PseudoOne always returns 1).