Troubleshooting
This topic describes a recommended series of steps to help you start diagnosing issues with a Cloudera AI Workbench.
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Issues with Provisioning Cloudera AI Workbenches: If provisioning an Cloudera AI Workbench fails, first go to your cloud provider account and make sure that you have all the resources required to provision an Cloudera AI Workbench. If failures persist, start debugging by reviewing the error messages on the screen. Check the workbench logs to find where the problem originates from. For more details on the troubleshooting resources available to you, see Troubleshooting Cloudera AI Workbenches on AWS.
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Issues with Accessing Cloudera AI Workbenches: If your Cloudera AI Admin has already provisioned a workbench for you but attempting to access the workbench fails, confirm with your Cloudera AI Admin that they have completed all the steps required to grant you access.See: Configuring User Access to Cloudera AI
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Issues with Running Workloads: If you have access to a workbench but are having trouble running sessions/jobs/experiments, and so on, see if your error is already listed here: Troubleshooting issues with workloads .
Cloudera Support
If you need assistance, contact Cloudera Support. Cloudera customers can register for an account to create a support ticket at the support portal. For Cloudera Data Platform issues in particular, make sure you include the Request ID associated with your error message in the support case you create.