Exports Don't Work After Veeam Kasten for Kubernetes Reinstall
| KB ID: | 4609 |
| Product: | Veeam Kasten for Kubernetes |
| Published: | 2024-06-13 |
| Last Modified: | 2024-06-13 |
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The solution provided in this article results in data removal. These steps should only be followed when testing or evaluating Veeam Kasten for Kubernetes or if the existing data is no longer required.
If you have any questions, please contact Support.
Challenge
Description: Jobs fail to run after reinstalling Veeam Kasten for Kubernetes on the same cluster
Veeam Kasten for Kubernetes backups can be transferred to any S3-compliant object store to keep secondary copies and for long-term retention based on compliance needs. Both metadata and data are saved in a location defined by the cluster-ID. To prevent accidental loss, Veeam Kasten for Kubernetes will refuse to overwrite this data in case it is deleted and reinstalled and will display errors if new backups on a new Veeam Kasten for Kubernetes install are initiated.
Error: "Failed to connect to backup repository: invalid repository password"
Veeam Kasten for Kubernetes uses passkeys (automatically generated or user-defined) to protect metadata and data. Since this is unique to each Veeam Kasten for Kubernetes deployment, and because old data exists in the same backup location, a reinstalled Veeam Kasten for Kubernetes instance will run into conflicts.
Solution
To overcome this failure, existing data in the object storage location must be removed from the previous cluster.
Part 1: Extract Cluster ID
To do this, first, extract the cluster ID of the current cluster (to know which one shouldn't be removed). Cluster ID can be extracted in two ways:
- Cluster ID Extraction with CLI
- Veeam Kasten for Kubernetes Dashboard: append settings/support to the end of the URL.
Example:https://cluster.example.com/k10/#/settings/support
Part 2: Identify Bucket Name
Retrieve the specific S3 bucket
- Within Settings, view Locations.
- Identify the name under Bucket Name.
Part 3: Remove Existing Data in Bucket
- Open the S3 Console.
- Select the bucket identified in the previous section.
- Open the K10 directory.
- Open the directory whose name matches the Cluster ID identified in the previous section.
- Delete everything.
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