P=
urpose
Demonstrate the practical application of event consolidation based on lo=
cation, the principles here could be applied to other shared properties of =
events and nodes, like Business Service, Application, Customer, Group, Inte=
rface, and many others. Combinations can also be made, especially use=
ful for nodes in Data Centres.
Event Correlation - =
Highly recommended, a must read!
Deduplication and storm control in opEvents
=
Scenario
Tasked with managing a large network that is either geographically seper=
ated or the topology is such that 'fault domains' are easy to recognize, we=
would like to consolidate events to prevent network management noise and r=
educe troubleshooting time. With this in mind it would be desirable t=
o have a single alert that notifies us that site "X" is experiencing a prob=
lem, versus many (10 ~ 500+) alerts from individual nodes. This not o=
nly cuts down on the noise, it also automates a component of the troublesho=
oting process, enabling operations to vector in on a common symptom in orde=
r to crush the problem.
A simple example would be a remote office, with several managed nodes, a=
ny problem with the WAN or with power would result in many events being see=
n in opEvents, enabling this feature would reduce that to a single event.=
p>
=
What is a synthetic event?
For our example this single event that consolidates many events is refer=
red to as a 'synthetic event'. To further define a synthetic event we=
can say that it is not created from a log file or API input, it is derived=
from other existing events.
Prerequisites
There needs to be a common way to identify nodes such as location, group=
, business service, etc. The common attribute is assigned when =
the node is provisioned in NMIS. For example, if it's determined that=
all the nodes at the San Jose data center can be grouped into a single fau=
lt domain, then they should all have the same location attribute of 'San_Jo=
se_Data_Center'. This gives opEvents something to grip onto for corre=
lation.
Configuration
Defining Synthetic Events
The configuration of this feature is done in EventRules.nmis which is fo=
und in /usr/local/omk/conf. Here is an example of event consolidation=
based on location. It is recommended to create synthetic events in '=
matched pairs' if possible, this can provide the synthetic with a dimension=
of 'state'.
%hash =3D (
'rules' =3D> {
'1' =3D> {
name =3D> 'Location Outage',
events =3D> ["Node Down","Service Down","SNMP Down"]=
,
window =3D> 30,
inhibit =3D> 30,
count =3D> 5,
groupby =3D> ['node.location'], # this time count lo=
cation \cross group independently
enrich =3D> {priority=3D>8, stateful =3D> "Loc=
ation Outage", state =3D> "down"},
copy_first =3D> [ qr// ],
#delayedaction =3D> 70, # optional action delay dela=
y, set for the underlying events
autoacknowledge =3D> 1,
}, =20
'2' =3D> {
name =3D> 'Location Up',
events =3D> ["Node Up","Service Up","SNMP Up"],
window =3D> 30,
inhibit =3D> 30,
count =3D> 5,
groupby =3D> ['node.location'], # this time count lo=
cation \cross group independently
enrich =3D> {priority=3D>2, stateful =3D> "Loc=
ation Outage", state =3D> "up"},
#delayedaction =3D> 70, # optional action delay dela=
y, set for the underlying events
copy_first =3D> [ qr// ],
autoacknowledge =3D> 1,
},
Rule Attributes
Name=
This is the event name that will appear if the event consolidation rule =
is triggered.
Ev=
ents
Event names that should be considered for consolidation. This is w=
here were we define what specific events should be part of the fault domain=
. For something network centric 'Node Up/Down' is a logical choice.=
p>
Wi=
ndow
This value is in seconds. This defines a window of time in which t=
he conditions must be met in order for the rule to fire.
I=
nhibit
This value is in seconds. Once all conditions of the rules match, =
the rule fires. The inhibit value is the time in seconds that must el=
apse before the rule is eligible to be fired again. This prevents exc=
essive 'synthetic events' in the event of a major outage. Matching in=
dividual node events that are received during this inhibit period will be a=
ssociated with the previously fired synthetic event and shall be suppressed=
.
Count
This value represents the minimum number of matching events that must be=
received in order for the rule to fire.
G=
roupby
This along with the 'Events' defined above makes the hash for consolidat=
ion. In this example we are focusing on location, so the value will b=
e node.location. This location value is assigned when the node is pro=
visioned in NMIS, and important field to populate in order for this feature=
to work properly. Please reference the related links above in order =
to better understand all the functionality provided by this value.
En=
rich
Here we can set specific event properties for the synthetic event. =
If the property is not set the synthetic event will inherit the properties=
based on the 'copy_first, copy_last, copy_highest, copy_present, or copy_g=
roupby directives. In this example we are using 'copy_first'.
Delayedaction
This example does not utilize this attribute. Please refer to the =
related links above to discover how this can be useful in preventing the 'w=
ater hammer' effect.
Copy_first
In this example we are stating that all attributes of the first matching=
rule will be cloned into the synthetic event unless the enrich directive s=
tates otherwise. Please refer to the related links for more informati=
on about the 'copy_*' options.
Autoacknowledge
This value relates to the matching individual node event. If this =
value is 'true' or '1', then it will automatically acknowledge the matching=
individual event causing processing to stop for it. If autoacknowled=
ge is not set in this manner then the individual matching events will not b=
e suppressed.
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