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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:
   def msg = doc['message.keyword'].value;
   

   if

   (doc['message.keyword'].value

   !=

   null)

   {
   if

   (doc['message.keyword'].value

   =~

   /Health

   Check/)

   {
   if

   {
   def m = /^(.+?)(API)?\sHealth Check.*$/.matcher(doc['message.keyword'].value

   =~ /PASS/) {
   return "PASS";
   }
   else {
   return "FAIL";
   

   );
   if ( m.matches() ) {
   return m.group(1)
   }
   else {
   return "unknown";
   }
   }
   }
   return null;

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

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