Accessing the Grok Debugger typically requires an Admin role within the Elastic Stack, as it utilizes Elasticsearch's simulate API and is integrated into Kibana's Developer Tools[3][4]. However, there are discussions about enhancing access control in Kibana, which might allow non-admin users to access tools like the Grok Debugger in the future[1].
Currently, if you want to use the Grok Debugger without an Admin role, you might consider using a standalone online tool for quick testing and pattern validation, which does not require specific roles or permissions beyond an internet connection[4][6]. For more granular access control within your organization, you could explore custom role configurations, but this would still need to align with the current capabilities of the Elastic Stack's security features[1].
In summary, while the Grok Debugger is primarily accessible through an Admin role, there are alternative methods and potential future developments that could expand access to other roles.
Citations:[1] https://discuss.elastic.co/t/role-to-use-grok-debugger-and-console-granular-access-control/109619
[2] https://datagrok.ai/help/develop/
[3] https://www.elastic.co/guide/en/serverless/current/devtools-debug-grok-expressions.html
[4] https://latenode.com/blog/a-complete-guide-to-using-the-grok-debugger
[5] https://last9.io/blog/grok-debugger/
[6] https://stackoverflow.com/questions/26679465/debugging-new-logstash-grok-filters-before-full-use
[7] https://opensearch.org/docs/latest/ingest-pipelines/processors/grok/
[8] https://www.elastic.co/guide/en/elasticsearch/reference/current/grok-processor.html
[9] https://graylog.org/post/getting-started-with-grok-patterns/
[10] https://docs.appdynamics.com/observability/cisco-cloud-observability/en/log-management/log-parsing/configure-pre-ingestion-parsing-of-logs-from-kubernetes/advanced-configuration-for-grok-logs