kdmp-config ConfigMap parameters
This reference guide provides a list of all parameters available in the kdmp-config ConfigMap. These parameters are used to configure KDMP (Kubernetes Data Management Platform) backup and restore operations, including resource limits, job controls, file exclusions, and platform-specific settings. The kdmp-config ConfigMap resides in the kube-system namespace on application clusters and controls backup and restore behavior for Kubernetes workloads.
For instructions on how to update the kdmp-config ConfigMap and common configuration use cases, see Configure kdmp-config ConfigMap.
Kopia Executor
| Key/Parameter | Default Value | Description |
|---|---|---|
KDMP_KOPIAEXECUTOR_REQUEST_CPU | 0.1 | Sets the minimum CPU resources requested by each backup and restore pod that is used in backup and restore of volumes with cross cloud enabled or when using the CSI with offload mechanism. Adjust this value based on the size of the data on the PVC being backed up or restored. Set a higher value if you are backing up or restoring larger data sets to ensure stable performance for each pod. |
KDMP_KOPIAEXECUTOR_LIMIT_CPU | 0.2 | Sets the maximum CPU resources allowed for each backup and restore pod that is used in backup and restore of volumes with cross cloud enabled or when using the CSI with offload mechanism. Increase this value if you are backing up or restoring large amounts of data on a PVC or if you observe CPU throttling during operations. |
KDMP_KOPIAEXECUTOR_REQUEST_MEMORY | 700Mi | Sets the minimum memory requested by each backup and restore pod that is used in backup and restore of volumes with cross clouds enabled or when using the CSI with offload mechanism. Increase this value if the size of the data on the PVC is large to prevent OOM (Out Of Memory) kills and ensure each pod can process large data volumes. |
KDMP_KOPIAEXECUTOR_LIMIT_MEMORY | 1Gi | Sets the maximum memory allowed for each backup and restore pod that is used in backup and restore of volumes with cross cloud enabled or when using the CSI with offload mechanism. If you see OOM (Out Of Memory) errors or are working with large PVC data sets, increase this value to allow each pod to handle the workload without failing. |