Provided by: anomaly_1.1.0-3build2_amd64 bug

NAME

       anomaly - anomalous data detection

SYNOPSIS

       anomaly [-h|--help] [-v|--version] [-d|--details]
               [-t|--threshold] [--min N] [--max N]
               [-s|--stddev] [-n|--sample N] [-c|--coefficient N]
               [-q|--quiet]
               [-e|--execute PROGRAM]
               [-p|--pid PID]

DESCRIPTION

       Anomaly can detect anomalous data in a numeric stream.  In order to do this, anomaly needs
       to see a stream of numeric data, and apply one of its detection methods.  If an anomaly is
       detected, a response is made, chosen from one or more built in methods.

NUMERIC STREAM

       Anomaly works best in a pipe, and will read only numeric data from its input.  As a simple
       example, suppose you wish to monitor load average and look for unusual spikes.   The  load
       average can be obtained from the 'uptime' command:

              $ uptime
              11:40  up 15 days,  4:04, 6 users, load averages: 0.38 0.32 0.32

       We can extract the 5-minute load (the second of the three numbers) using this:

              $ uptime | cut -f 13 -d ' '
              0.29

       That number can be extracted once a minute, using this:

              $ while [ 1 ]; do uptime | cut -f 13 -d ' '; sleep 60; done
              0.29
              0.26
              0.19

       That  is  the  kind  of  data  stream  that  anomaly monitors.  White space (spaces, tabs,
       newlines) between the numbers are ignored, so we can simulate the above stream like this:

              $ echo 0.29 0.26 0.19

       This is a convenient way to demonstrate anomaly, shown below.

DETECTION - THRESHOLD

       The simplest detection method is threshold, which compares the data to an absolute  value.
       This  method can use a minimum and a maximum value for comparison.  These alternatives are
       all valid, and make use of --min, --max or both:

              anomaly --threshold --min 1.22 --max 9.75
              anomaly --threshold --min 1.22
              anomaly --threshold --max 9.75

       In the following example, the values '1' and '10' would be detected as anomalies:

              $ echo 2 1 3 6 10 5 | anomaly --threshold --min 1.5 --max 8
              Anomalous data detected.  The value 1 is below the minimum of 1.5.
              Anomalous data detected.  The value 10 is above the maximum of 8.

DETECTION - STANDARD DEVIATION

       Standard deviation measures differences from the mean value of a sample of  data,  and  is
       useful  for detecting extraordinary values.  The sample size can be chosen such that there
       is enough data to determine a good mean value, but defaults to  10.   The  limited  sample
       size  means  that  a  rolling  window of data is used, and therefore the mean and standard
       deviation is updated for the current window.  This makes the monitoring somewhat adaptive.
       Here is an example:

              anomaly --stddev --sample 20

       This  uses a sample size of the 20 most recent values, and will detect any values that are
       +/- 1 standard deviation from the mean.  An example:

              $ echo 1 2 3 4 5 6 | anomaly --stddev --sample 5
              Anomalous data detected.  The value 6 is more than 1 sigma(s) above the mean  value
              3, with a sample size of 5.

       With  a  sample  size  of  5,  comparisons being only after the 6th value is seen.  In the
       example, the mean value of [1 2 3 4 5] is 3, and the standard  deviation  is  1.58.   This
       means  that the 6th value is considered an anomaly if it is within the range (3 +/- 1.58),
       which is between 1.42 and 4.58.

       To make this less sensitive, a coefficient is introduced, which defaults to 1.0 (as above)
       but can be overridden:

              $ echo 1 2 3 4 5 6 | anomaly --stddev --sample 5 --coefficient 1.9
              $

       In this example, the 6th value is not considered an anomaly because it is within the range
       (3 +/- (1.9 * 1.58)), which is between -0.002 and 6.002.

RESPONSE - MESSAGE

       The message response is the default, and consists of a single line of printed text.  It is
       a description of why the data value is considered an anomaly.  Here is an example:

              $ echo 1 2 3 | anomaly --threshold --max 2.5
              Anomalous data detected.  The value 3 is above the maximum of 2.5.

       The  message  can  be suppressed, but another response must be specified, so that there is
       some kind of response:

              $ echo 1 2 3 | anomaly --threshold --max 2.5 --quiet ...

RESPONSE - EXECUTE

       Anomaly can execute a program in response to detection.  Here an example uses  the  'date'
       command, but any program can be used:

              $ echo 1 2 3 | anomaly --threshold --max 2.5 --quiet --execute '/bin/date +%s'
              1361727327

RESPONSE - SIGNAL

       Anomaly can send a USR1 signal to a program in response to detection:

              $ echo 1 2 3 | anomaly --threshold --max 2.5 --quiet --pid 12345

       This  sends  the  USR1  signal to the process with PID 12345.  The receiving program would
       need to respond accordingly.

CREDITS & COPYRIGHTS

       Copyright (C) 2013 Göteborg Bit Factory.

       Anomaly is distributed under the MIT license. See  http://www.opensource.org/licenses/mit-
       license.php for more information.

SEE ALSO

       For more information, see:

       The official site at
              <http://tasktools.org/projects/anomaly>

       You can contact the project by writing an email to
              <support@tasktools.org>

REPORTING BUGS

       Bugs in anomaly may be reported to <support@tasktools.org>

${PACKAGE_STRING}                           2013-05-05                                 anomaly(1)