Uptime Calculation Question

Yueh-Hung Liu yuehung.liu at gmail.com
Fri Feb 11 03:12:41 CET 2011


nothing will be known without checking.
you want more precise data you have to do more checks, that is,
decrease the "check_interval" value.


On Fri, Feb 11, 2011 at 5:37 AM, Breandan Dezendorf
<breandan at dezendorf.com> wrote:
> Does anyone have a good guide to the impact the check_interval setting
> has on calculating uptime and availability data from Nagios logs?
>
> For example, if your check_interval is set to 10 minutes, a service
> could be down for 9 minutes and never register in Nagios.  However,
> your availability numbers at that point couldn't be any more precise
> than 99.99% (as the cutoff for "five nines" is 5.26 service outage
> minutes a year).  While unlikely, six such outages would push you into
> 99.9% - and an SLA report that generated from Nagios log files would
> still report 100%.  If the value for check_interval is set to 30
> minutes, the problem is amplified - Nagios is more likely to miss
> events, which makes me even less comfortable with the resulting
> statistics.
>
> Are there SLA packages for Nagios that account for this, or does
> Nagios's in-built reporting engine account for this in some way?  Or,
> is there a statistician amongst us who can make me understand that I'm
> just being overly paranoid, and show me that the math actually works
> out?
>
> --
> Breandan Dezendorf
> breandan at dezendorf.com
> bwdezend at gmail.com
>
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------------------------------------------------------------------------------
The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE:
Pinpoint memory and threading errors before they happen.
Find and fix more than 250 security defects in the development cycle.
Locate bottlenecks in serial and parallel code that limit performance.
http://p.sf.net/sfu/intel-dev2devfeb
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