Recommended master configurations
You can select master configuration when creating or updating your cluster. For stable operation, make sure the master configuration matches the workload of your cluster.
You can use this table to find the master configuration based on your specific cluster specifications. The values given in theis table are approximate: choose the row whose parameters are closest to your cluster.
The choice of master configuration is influenced by the load profile, resources used in the cluster, operator performance, and other factors. Depending on these parameters, a more powerful configuration may be required.
Tip
This table shows Standard master configurations with a 4:1 RAM to vCPU ratio. If this configuration is not suitable for your workload profile, select the closest CPU Optimized or Memory Optimized configuration from the list of available configurations.
The selected configuration allocates minimum resources to the master. As the load increases, the master's RAM and vCPU count can be automatically increased. If you enable master node auto-scaling in your cluster, your selected configuration will serve as the lower scaling limit.
Warning
Starting June 18, 2026, master node auto-scaling will be enabled on all clusters in the RAPID release channel where the master is deployed in a highly available configuration.
|
Cluster specifications |
Recommended master configuration |
||
|
Nodes |
Pods |
vCPU |
RAM |
|
< 128 |
< 8 192 |
2 vCPU |
8 GB |
|
128 |
8 192 |
4 vCPU |
16 GB |
|
128 |
14 080 |
8 vCPU |
32 GB |
|
256 |
16 384 |
8 vCPU |
32 GB |
|
256 |
28 160 |
16 vCPU |
64 GB |
|
512 |
32 768 |
16 vCPU |
64 GB |