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1. Update mappings to support using message.keyword field. 
   To do so on the Elasticsearch (ES) node run the following curl command included in the attached file:
   jenkins_elasticsearch_mappings.txt

2. Add the following parameter to the elasticsearch.yml config file:

   script.painless.regex.enabled: true

3. Restart ES

4. In Kibana create the index patter "logstash-jenkins". Set the timestamp field to "@buildTimestamp"
5. For that index pattern navigate to the scripted fields tab. Create a scripted field named "healthcheck". Language is painless. Type is string. Script is as follows:
   

   def msg = doc['message.keyword'].value;
   if (doc['message.keyword'].value != null) {
   if (doc['message.keyword'].value =~ /Health Check/) {
    if (doc['message.keyword'].value =~ /PASS/) { 
    return "PASS";
    }
    else {
    return "FAIL";
    }
   }
   }

6. Create another scripted field named "component". Language is painless. Type is string. Script is as follows:
   

   if (doc['message.keyword'].value != null) {
   if (doc['message.keyword'].value =~ /Health Check/) {
    def m = /^(.+?)(API)?\sHealth Check.*$/.matcher(doc['message.keyword'].value);
    if ( m.matches() ) {
    return m.group(1)
    }
    else {
    return "unknown";
    }
   }
   }
   return null;

7. Import the following visualizations to Kibana:
   jenkins cd visualizations.json

Import the following dashboard to Kibana:
jenkins cd dashboard.json

Troubleshooting:

If you get the following error in Kibana:

"[script] Too many dynamic script compilations within one minute, max: [15/min]; please use on-disk, indexed, or scripts with parameters instead; this limit can be changed by the [script.max_compilations_per_minute] setting","bytes_wanted":0,"bytes_limit":0}}}}]},"status":400}

Execute the following request on the Elasticsearch VM:

ubuntu@ip-172-31-95-213:~$ curl -XPUT localhost:9200/_cluster/settings -d '

{

"transient" : {

"script.max_compilations_per_minute" : 50

}

}

'