Cisco Prime Collaboration

Contents

Introduction. 3

Use Case 1: Repeated Occurrence. 3

Use Case 2: Logical Implication (A à B) 5

Use Case 3: Correlation Across Multiple Streams. 7

Appendix A - Fault Stream Schema. 9

Appendix B - Unified Contact Center Deployment Views. 9

Appendix C - Creating and Editing User-Defined Views. 13

Introduction

Cisco Prime^™ Collaboration Assurance 10.5 and higher provides you with an extensible correlation engine. This engine can be used to correlate the events reported on your Cisco^® collaboration network based on rules. Event correlation streamlines dependent events into fewer alarms, and the Cisco Prime Collaboration Assurance event correlation engine helps reduce the clutter of events and alerts on dashboards. Users can easily see key alerts and events on the alarm browser and can take action to fix them, improving mean time to repair (MTTR). Event correlation offers built-in rules to correlate data and generate aggregated alerts.

You can embed the correlation intelligence in the form of rules using pure SQL without the need to write any Java or C++ code.

Cisco Prime Collaboration Assurance offers three kinds of correlation rules - time-based correlation, threshold-based correlation, and root-cause correlation.

The following use cases describe how to implement the custom correlation rules using the correlation engine.

Use Case 1: Repeated Occurrence

Assume there are call failures in your collaboration network. Whenever a call routing through a particular route list (RL) fails due to resource exhaustion, a RouteListExhausted alarm is raised. If you do not wish to be notified on every failure, you can use the correlation engine to create a simple rule that raises an alarm when a definitive failure event occurs. For example, you can create a rule to raise an alarm when 10 failures occur in a span of five minutes.

You can create a rule using the correlation engine as follows:

1.     Log in as globaladmin to the Cisco Prime Collaboration Assurance application, and navigate to Administration > Alarm & Event Setup > Event Customization.

2.     Click Add in the Correlations Rules tab. In the popup window, specify:

a.     Rule name; for example, Repeated RL Failure Rule.

b.     Correlation alarm name that must be raised when the rule condition is satisfied; for example, Repeated RL Failure.

c.     Description for the alarm; for example, “This alarm would be raised when multiple RL failures happen within a short span of time”.

d.     Severity for the correlated alarm; for example, Critical.

e.     The rule:

select deviceid, source as componentname, array_accum(id) as ids from cpcm_schema.allfaultevent_stream < VISIBLE '5 minutes' ADVANCE '1 minute' > where name='RouteListExhausted' group by deviceid, source having count(*) >= 10;

3.             Click Save.

How the Rule Is Applied: Example

Consider that there are four RouteListExhausted failures that occurred on a particular route list configured on Cisco Unified Communications Manager, at 10:00 a.m. No alarms are generated.

At 10:02 a.m., three more RouteListExhausted failures occur on the same route list. No alarms are generated.

Now, at 10:03 a.m., when there are three or more RouteListExhausted failures detected on the same route list, the correlation condition is met and thus an alarm named Repeated RL Failure (as specified while creating the rule) is generated in the system. This correlation alarm has 10 RouteListExhausted events (which occurred from 10:00 a.m. to 10:03 a.m.) tagged to it.

As a result, the rule reduces noise, raising just one significant alarm instead of raising multiple individual raw alarms.

Interpreting the Query

select

   deviceid,

   source as componentname,

   array_accum(id) as ids

 

from cpcm_schema.allfaultevent_stream

   <VISIBLE '5 minutes' ADVANCE '1 minute'>

 

where     name='RouteListExhausted'

 

group by deviceid, source

 

having count(*) >= 10;

●   The select clause provides reference to the allfaultevent_stream, which is the fault stream. For details on the fault stream, see Appendix A.

◦    The variables, deviceid, source, and id, refer to the attributes in the fault stream.

◦    The variables componentname and ids are internally used and must not be renamed.

●   The from clause provides reference to the fault stream and sliding window interval. You can change the fault stream window to the desired value.

●   The where clause provides reference to the event name that matches the specified condition. The attribute name refers to the name of the event in the fault stream. For details, see Appendix A.

●   The group by clause specifies an additional condition wherein the grouping occurs at device and component levels. The deviceid and source attributes refer to the device and the component on which the event was raised, respectively. You can group by any attribute available in the fault stream.

●   The having clause specifies the frequency of occurrence. You can modify the value as desired.

You now can use this rule for any kind of repeated event matching - and customize it to suit your needs.

Use Case 2: Logical Implication (A à B)

Logical Implication is used for modeling correlation scenarios where one condition follows one or more other conditions. The truth table helps you determine whether or not a scenario belongs to this category. For simplicity, consider a logical implication involving two conditions - A and B.

Logical Implication is mathematically represented by A à B (read as A implies B).

A classic example from the unified communications world is the CodeRed scenario. When CodeRed conditions occur on the Cisco Unified Communications Manager, the Unified Communications Manager service is automatically restarted. Two alarms are generated on Cisco Prime Collaboration Assurance at different instances in a short interval - CodeRed and Service Down.

Using the truth table, first determine whether this scenario really falls under logical implication:

This truth table matches with the A à B Truth Table, and therefore this scenario actually belongs to the logical implication category.

From a correlation perspective, for this scenario, a single alarm must be raised instead of two. In order to achieve this, you can use the correlation framework:

1.     Log in as globaladmin to the Cisco Prime Collaboration Assurance application and navigate to Administration > Alarm & Event Setup > Event Customization.

2.     Click Add in the Correlations Rules tab. In the popup window, specify:

a.     Rule name; for example, CodeRed Rule.

b.     Correlation alarm name that must be raised when the rule condition is satisfied; for example,
CodeRed Detected.

c.     Description for the alarm; for example, “This rule correlates root cause and symptom alarms”.

d.     Severity for the correlated alarm; for example, Critical.

e.     The rule:

select array_accum(fault_event.id) as ids, array_accum(fault_event.name)as names,fault_event.deviceid as deviceid,cq_close(*)from cpcm.allfaultevent_stream as fault_event <VISIBLE '5 minutes' ADVANCE '1 minute'> where fault_event.name ='CodeRed' or (fault_event.name ='ServiceDown' and fault_event.source=”Cisco Call Manager”)group by deviceid having ( sum (CASE WHEN name='CodeRed' then 1 ELSE 0 END)=1 );

3.     Click Save.

How the Rule Is Applied: Example

Consider that a CodeRed event is generated on Cisco Unified Communications Management and an alarm is generated at 10:00 a.m.

At 10:01 a.m., the Unified Communication Manager service is restarted, and at 10:02 a.m. a ServiceDown event is generated.

The system will now apply the correlation rule to associate the ServiceDown event with the CodeRed alarm, instead of raising ServiceDown as a separate alarm.

Therefore, the rule reduces the noise, raising just one alarm (for the root cause) instead of raising alarms for all of the symptoms.

Interpreting the Query

select

array_accum(fault_event.id) as ids,

array_accum(fault_event.name) as names,

fault_event.deviceid as deviceid

 

from cpcm.allfaultevent_stream as fault_event

<VISIBLE '5 minutes' ADVANCE '1 minute'>

 

where   fault_event.name ='CodeRed'

or (fault_event.name ='ServiceDown'

             and

    fault_event.source=”Cisco Call Manager”)

 

group by deviceid

 

having (sum(CASE WHEN name='CodeRed' THEN 1 ELSE 0 

END)=1);

●   The select clause provides reference to the allfaultevent_stream, which is the fault stream. For details on the fault stream, see Appendix A.

◦    The variables, deviceid, name, and id, refer to the attributes in the fault stream.

◦    The variables names and ids are internally used and must not be renamed.

●   The from clause provides reference to the fault stream and sliding window interval. You can change the fault stream window to the desired value.

●   The where clause provides reference to the event name that matches the specified condition. The attribute name refers to the name of the event in the fault stream, and the source attribute refers to the component name. For details, see Appendix A.

●   The group by clause specifies an additional condition wherein the grouping occurs at device and component levels. The deviceid attribute refers to the device on which the event was raised. You can group by any attribute available in the fault stream.

●   The having clause specifies an additional condition specific to the logical implication. This condition is met whenever there is exactly one CodeRed event over a given window and for a particular device.

You can create correlation rules for different conditions such as logical conjunction, logical disjunction, and so on in a similar way.

Use Case 3: Correlation Across Multiple Streams

Generally the events in the fault stream do not contain all of the details required for correlation. Hence, it is often necessary to refer to an external data source such as inventory, or equivalent, in order to perform the correlation. The Cisco Prime Collaboration correlation engine simplifies this task.

Using the correlation engine, you can create a view (see Appendix C) and use the view in your SQL query. In addition, Cisco Prime Collaboration Assurance contains a built-in set of views (see Appendix B), which can be readily used. These views currently are focused on Cisco Unified Contact Center deployment but can be easily extended to Cisco Unified Communications Manager, Cisco Unity^® Connection, or any deployment.

As an example, let us consider a Cisco Unified Contact Center deployment, where an alarm must be raised only if both UCCE Router on side A and UCCE Router on side B are down.

You can use the correlation engine to create a rule accordingly:

1.     Log in as globaladmin to the Cisco Prime Collaboration Assurance application, and navigate to Administration > Alarm & Event Setup > Event Customization.

2.     Click Add in the Correlations Rules tab. In the popup window, specify:

a.     Rule name; for example, UCCE Router Down.

b.     Correlation alarm name that must be raised when the rule condition is satisfied; for example, UCCE Router Down.

c.     Description for the alarm; for example, “This alarm would be raised when router is down on both side A and side B”.

d.     Severity for the correlated alarm; for example, Critical.

e.     The rule:

select array_accum(deviceid) as deviceids, array_accum(source) as componentnames, array_accum(id) as ids from cpcm_schema.allfaultevent_stream as faultevent <VISIBLE '60 minutes' ADVANCE '1 minute'>, cpcm_ccroutersidesview as ccroutersides where faultevent.name='ComponentDown' and faultevent.source like '%Router%'

and ARRAY[faultevent.deviceid] <@ ccroutersides.idlist group by

array_to_string(ccroutersides.idlist, ',') having ((SUM(CASE WHEN name='ComponentDown'THEN 1 ELSE 0 END) == 2) );

3.     Click Save.

How the Rule Is Applied: Example

Consider that the Cisco Unified Contact Center Enterprise (UCCE) Router on side A goes down at 10:00 a.m., resulting in a ComponentDown event. An alarm is raised immediately as the side B router takes over.

At 10:30 a.m., if the UCCE Router on side B also goes down, resulting in another ComponentDown event, the correlation engine triggers a single alarm named UCCE Router Down and associates the two ComponentDown events to this alarm.

Therefore, the rule reduces noise by raising a single alarm for the service impact instead of raising several individual raw alarms.

Interpreting the Query

select array_accum(deviceid) as deviceids,

       array_accum(source) as componentnames,

       array_accum(id) as ids

      

from cpcm_schema.allfaultevent_stream as faultevent 

<VISIBLE '60 minutes' ADVANCE '10 minute'>,

     cpcm_ccroutersidesview as ccroutersides

 

where faultevent.name='ComponentDown' and        

faultevent.source like '%Router%' and

      ARRAY[faultevent.deviceid] <@

          ccroutersides.idlist

 

group by array_to_string(ccroutersides.idlist, ',')

 

having ((SUM(CASE WHEN name='ComponentDown' THEN 1

                         ELSE 0 END) == 2));

●   The select clause provides reference to the allfaultevent_stream, which is the fault stream. For details on the fault stream, see Appendix A.

◦    The variables, deviceid, source, and id, refer to the attributes in the fault stream.

◦    The variables componentnames and ids are internally used and must not be renamed.

●   The from clause provides reference to the fault stream and sliding window interval. You can change the fault stream window to the desired value. The from clause also specifies the inventory view cpcm_ccroutersidesview used in the query. For details on this inventory view, see Appendix B.

●   The where clause provides reference to the event name that matches the specified condition. The attribute name refers to the name of the event in the fault stream. For details, see Appendix A.

●   The group by clause specifies an additional condition wherein the grouping occurs at idlist and component levels. The idlist is a contact center inventory view attribute that contains an array of all router devices part of a UCCE duplex pair (combination of side A and side B).

●   The having clause specifies an additional condition that exactly two ComponentDown events must occur on the router component, as there are two sides in a Cisco Unified Contact Center duplex pair.

Appendix A - Fault Stream Schema

All of the relevant Cisco Prime Collaboration Assurance rules are executed on the fault stream. This stream contains events that pertain to various rules as a common stream is maintained for all events and rules.

In order to write the rule you must understand the fault stream completely:

create stream allfaultevent_stream(

id bigint, alarmCode bigint, category varchar(200),

code bigint, componentName varchar(200),

description varchar(1000), deviceId bigint,

deviceName varchar(200), entityId bigint,

name varchar(200), severity integer,

source varchar(200), subcategory varchar(200),

subid varchar(200), component varchar(200), qtime timestamp cqtime system);

The following table describes fields in the fault stream:

Appendix B - Unified Contact Center Deployment Views

The Cisco Unified Contact Center deployment inventory views available in Cisco Prime Collaboration Assurance are as follows. These views can be used based on the correlation use cases you have in your deployment. To create your own view, see Appendix C.

cpcm_cmdevview

View Definition

create or replace view cpcm_cmdevview as (select * from dblink('port=5433 dbname=cpcm user=cmuser password=cmuser', 'select id,devicetype from cmdevice')
as t(id bigint ,devicetype text));

Output

           id    |       devicetype

   --------+------------------------

   3819822 | ContactCenterEnterprise

   3819854 | ContactCenterEnterprise

   3819853 | ContactCenterEnterprise

   3819831 | CIM

   3819847 | Unknown

   3819851 | CustomerVoicePortal

   3819855 | CustomerVoicePortal

   3819821 | CUCM

   3819852 | CustomerVoicePortal

   3819819 | SOCIALMINER

   3819838 | FINESSE

   3819820 | Unknown

   3819828 | CUIC

   3819840 | CUCM

   3819834 | Unknown

   3819835 | MEDIASENSE

   3819829 | Unknown

   3819830 | CUIC

   3819836 | CUCM

   3819846 | CustomerVoicePortal

   3819823 | ContactCenterEnterprise

cpcm_ccvpview

View Definition

create or replace view cpcm_cccvpview as (select * from dblink('port=5433 dbname=cpcm user=cmuser password=cmuser', 'select ARRAY[ccpim.deviceid,cmdev1.id] from contactcenterpim as ccpim,cmdevice as cmdev1 where cmdev1.ipaddress=ccpim.cccapimperipheralhostname and ccpim.cccapimperipheraltype=''vru'';') as t(idlist bigint[]));

Output

 idlist

 -----------------

 {3819853,3819855}

 {3819822,3819855}

 {3819853,3819846}

 {3819822,3819846}

 {3819853,3819845}

 {3819822,3819845}

 {3819853,3819856}

 {3819822,3819856}

cpcm_ccmediaview

View Definition

create or replace view cpcm_ccmediaview as (select * from dblink('port=5433 dbname=cpcm user=cmuser password=cmuser', 'select ARRAY[ccpim.deviceid,cmdev1.id] from contactcenterpim as ccpim,cmdevice as cmdev1 where cmdev1.ipaddress=ccpim.cccapimperipheralhostname and ccpim.cccapimperipheraltype=''mediaRouting'';') as t(idlist bigint[]));

Output

idlist

-----------------

{3819822,3819822}

{3819822,3819853}

{3819822,3819819}

{3819822,3819834}

{3819822,3819848}

{3819822,3819850}

cpcm_ccrouterpgview

View Definition

create or replace view cpcm_ccrouterpgview as (select * from dblink('port=5433 dbname=cpcm user=cmuser password=cmuser', 'select ARRAY [ccrouter.deviceid,ccpg.deviceid] from contactcenterrouter as ccrouter,contactcenterpg as ccpg where (ccpg.cccapgroutersideaname IN (select  LOWER(cccarouterpublichighaddr) from contactcenterrouter)) or (ccpg.cccapgroutersidebname IN (select LOWER(cccarouterpublichighaddr) from  contactcenterrouter)) group by ccrouter.deviceid,ccpg.deviceid;') as t(idlist bigint[]));

Output

idlist

-----------------

{3819822,3819822}

{3819822,3819853}

{3819853,3819822}

{3819853,3819853}

cpcm_ccpgsidesview

View Definition

create or replace view cpcm_ccpgsidesview as (select * from dblink('port=5433 dbname=cpcm user=cmuser password=cmuser', 'select ARRAY[ccpg.deviceid,cc.deviceid] from contactcenterpg as ccpg,contactcenter as cc where ccpg.cccapgside=''sideA'' and upper(ccpg.cccapgduplexpairname)=upper(cc.cccaname) and (''sideB'' IN (select cccapgside from contactcenterpg where contactcenterpg.deviceid=cc.deviceid));') as t(idlist bigint[]));

Output

idlist

-----------------

{3819822,3819853}

cpcm_ccrouterssidesview

View Definition

create or replace view cpcm_ccroutersidesview as (select * from dblink('port=5433 dbname=cpcm user=cmuser password=cmuser', 'select ARRAY[ccrouter.deviceid,cc.deviceid] from contactcenterrouter as ccrouter,contactcenter as cc where ccrouter.cccarouterside=''sideA'' and upper(ccrouter.cccarouterduplexpairname)=upper(cc.cccaname) and (''sideB'' IN (select cccarouterside from contactcenterrouter where contactcenterrouter.deviceid=cc.deviceid));') as t(idlist bigint[]));

Output

idlist

-----------------

{3819822,3819853}

cpcm_ccrouterloggerview

View definition

create or replace view cpcm_ccrouterloggerview as (select * from dblink('port=5433 dbname=cpcm user=cmuser password=cmuser', 'select ARRAY [ccrouter.deviceid,cclogger.deviceid] from contactcenterrouter as ccrouter,contactcenterlogger as cclogger where (cclogger.cccaloggerroutersidebname IN (select cccarouterpublichighaddr from contactcenterrouter)) or (cclogger.cccaloggerroutersideaname IN (select cccarouterpublichighaddr from contactcenterrouter));') as t(idlist bigint[]));

Output

idlist

------------------

{3819853,3819854}

{3819822,3819854}

{3819853,3819823}

{3819822,3819823}

cpcm_ccloggersidesview

View definition

create or replace view cpcm_ccloggersidesview as (select * from dblink('port=5433 dbname=cpcm user=cmuser password=cmuser', 'select ARRAY[cclogger.deviceid,cccomponent.deviceid] from contactcenterlogger as cclogger, contactcentercomponent as cccomponent where cclogger.cccaloggerside=''sideA'' and cccomponent.cccacomponentname=''LoggerB'' and cclogger.cccaloggerroutersideaname=(select cccaloggerroutersideaname

Output

idlist

-----------------

{3819854,3819823}

cpcm_ccucmview

View definition

create or replace view cpcm_ccucmview as (select * from dblink('port=5433 dbname=cpcm user=cmuser password=cmuser', 'select ARRAY[ccpim.deviceid,cmdev1.id,ccpim1.deviceid] from contactcenterpim as ccpim,cmdevice as cmdev1,contactcenterpim as ccpim1 where cmdev1.ipaddress=ccpim.cccapimperipheralhostname and cmdev1.ipaddress=ccpim1.cccapimperipheralhostname and ccpim.cccapimperipheraltype=''callManager'';') as t(idlist bigint[]));

Output

idlist

--------------------------

{3819853,3819821,3819822}

{3819853,3819821,3819822}

{3819853,3819821,3819853}

{3819822,3819821,3819822}

{3819822,3819821,3819822}

{3819822,3819821,3819853}

Appendix C - Creating and Editing User-Defined Views

To create a view:

1.     Log in as root to the Cisco Prime Collaboration Assurance server.

2.     Connect to the Truviso database and create a view using the following commands:

#cd /opt/pa/TruCQ/bin

#./psql -p 5435 -d cqdb -U primea

#cqdb=# execute the create view statement here

#cqdb=# \q

To edit a view:

1.     Log in as root to the Cisco Prime Collaboration Assurance server.

2.     Enter #goemsam.

3.     Stop the Cisco Prime Collaboration Assurance services using the command:

#bin/cpcmcontrol.sh stop

4.     Edit the view using the following commands:

#bin/start_trucq.sh

#cd /opt/pa/TruCQ/bin

#./psql -p 5435 -d cqdb -U primea

#cqdb=# execute the update view statement here

#cqdb=# \q

#goemsam

#bin/shutdown_trucq.sh

5.     Start the Cisco Prime Collaboration Assurance services using the command:

# bin/cpcmcontrol.sh start