![]() 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. Builds which publish artifacts can produce unique JSON fields for each Artifact, which can exceed the number of fields allowed for an Elasticsearch index.The /jenkins-/ path at the end is optional, but can be useful to help provide some additional information about which Jenkins event type is being submitted by allowing Logstash filters to be defined on the request_path information.This option is only visible once the “ Advanced…” button is clicked in this configuration section. The “ Enable HTTP publishing?” option must be selected in order for the messages to be sent.The screenshot above shows how the Statistics Gatherer plugin can be configured to send HTTP messages to a Logstash HTTP input plugin listening at. Manage Jenkins -> Configure System -> Statistics Gatherer Once the Statistics Gatherer plugin is installed in Jenkins it can be configured to send messages through the Jenkins UI: Regardless of the solution you choose, the process will essentially be the same. Confluent REST Proxy -> Kafka -> Logstash Kafka input plugin -> Logstash Elasticsearch output pluginįor the sake of simplicity, this article will stick with Elasticsearch products and assume the use of Logstash as a means to ingest events into Elasticsearch. ![]()
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