I am a newbie and I may ask a stupid question, but I could not find answers on Kind or on stackoverflow, so I dare asking:

• I run kind (Kubernestes-in-Docker) on a Ubuntu machine, with 32GB memory and 120 GB disk.
• I need to run a Cassandra cluster on this Kind cluster, and each node needs at least 0.5 CPU and 1GB memory.

When I look at the node, it gives this:

Capacity:
  cpu:                8
  ephemeral-storage:  114336932Ki
  hugepages-1Gi:      0
  hugepages-2Mi:      0
  memory:             32757588Ki
  pods:               110
Allocatable:
  cpu:                8
  ephemeral-storage:  114336932Ki
  hugepages-1Gi:      0
  hugepages-2Mi:      0
  memory:             32757588Ki
  pods:               110

so in theory, there is more than enough resources to go. However, when I try to deploy the cassandra deployment, the first Pod keeps in a status 'Pending' because of a lack of resources. And indeed, the Node resources look like this:

Allocated resources:
  (Total limits may be over 100 percent, i.e., overcommitted.)
  Resource           Requests   Limits
  --------           --------   ------
  cpu                100m (1%)  100m (1%)
  memory             50Mi (0%)  50Mi (0%)
  ephemeral-storage  0 (0%)     0 (0%)
  hugepages-1Gi      0 (0%)     0 (0%)
  hugepages-2Mi      0 (0%)     0 (0%)

The node does not get actually access to the available resources: it stays limited at 10% of a CPU and 50MB memory.

So, reading the exchange above and having read #887, I understand that I need to actually configure Docker on my host machine in order for Docker to allow the containers simulating the Kind nodes to grab more resources. But then... how can give such parameters to Kind so that they are taken into account when creating the cluster ?