![]() ![]() For example, the COMBINEDAPACHELOG grok filter in Logstash can be used to parse an access log entry into structured JSON data. This is particularly useful for HTTP access logs, which use a predictable logging format. I would recommend shipping the logs to Logstash so that the appropriate Logstash filters can be applied to parse the lines into JSON fields. Filebeat can be configured to consume any number of logs and ship them to Elasticsearch, Logstash, or several other output channels. ![]() The easiest way to ship the contents of the application logs to Elasticsearch is to use Filebeat, a log shipper provided by Elastic. Each line of the log becomes an JSON record in Elasticsearch. By sending these logs to Elasticsearch, the information can be indexed and searched for patterns using the Kibana web interface. These logs contain information about the Jenkins process and can be useful to identify problems that may not be easily identified through the user interface. The Jenkins master and slave processes generate application logs on the filesystem. Kibana Search = type: build AND jobName: rest_open AND result: SUCCESS Jenkins Application Logs To avoid this, use a Logstash filter to strip out any unwanted fields:įilter /jenkins-scm/") tQueueInfo(Boolean.TRUE) tBuildInfo(Boolean.TRUE) tProjectInfo(Boolean.TRUE) tBuildStepInfo(Boolean.TRUE) tScmCheckoutInfo(Boolean.TRUE) tShouldSendApiHttpRequests(Boolean.TRUE) Īt the end of the process, what you should have is a collection of Jenkins event messages in Elasticsearch that can then be used in Kibana visualizations and dashboards to make informed decisions about build performance, failure rates, or a variety of other questions.
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