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JFrog supports integration with Elasticsearch and Kibana for log analytics and real-time observability. With Elasticsearch and Kibana, you can now explore the log data, build visualizations and dashboards to gain valuable insights.

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Setting Up Fluentd for Elasticsearch

To set up Fluentd for Elasticsearch, perform the following steps:

  1. Install Fluentd logging agent on each JPD node for tailing the various JPD log files for new log lines to parse into fields
  2. Apply any corresponding record transformations and then send to the relevant output plugin for Fluentd.
  3. Install the Fluentd agent in each node as shown in the Fluentd installation guide.
  4. Configure the installed Fluentd agent as per the configuration, that matches the JFrog application running in the node, provided in JFrog log analytics Github repo.

Viewing JFrog Log Data in Elasticsearch with Kibana

The JFrog integration for Elasticsearch/Kibana provides an NDJSON file that defines index patterns and visualizations. This file can be imported through the Kibana Saved Objects page. 

View the Dashboard which now contains information displayed throughout our data widgets to give you real time observability into the JFrog Unified Platform. The JFrog Logs dashboard presents timeline and count data for key operating metrics:

  • Log volumes, which can be filtered by type
  • Service errors
  • HTTP response codes
  • Accessed image
  • Accessed repositories
  • Data transfers in GB for uploads/downloads
  • Top 10 IPs for upload/download
  • Audit actions by username
  • Denied actions and logins by IP and username
  • Accepted deploys by username

For more detailed instructions on the Elasticsearch/Kibana integration refer to the JFrog github project.

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