kubeletConfig:
podsPerCore: 10
In OKD, you can configure the number of pods that can run on a node based on the number of processor cores on the node, a hard limit or both. If you use both options, the lower of the two limits the number of pods on a node.
When both options are in use, the lower of the two values limits the number of pods on a node. Exceeding these values can result in:
Increased CPU utilization.
Slow pod scheduling.
Potential out-of-memory scenarios, depending on the amount of memory in the node.
Exhausting the pool of IP addresses.
Resource overcommitting, leading to poor user application performance.
In Kubernetes, a pod that is holding a single container actually uses two containers. The second container is used to set up networking prior to the actual container starting. Therefore, a system running 10 pods will actually have 20 containers running. |
Disk IOPS throttling from the cloud provider might have an impact on CRI-O and kubelet. They might get overloaded when there are large number of I/O intensive pods running on the nodes. It is recommended that you monitor the disk I/O on the nodes and use volumes with sufficient throughput for the workload. |
The podsPerCore
parameter sets the number of pods the node can run based on the number of
processor cores on the node. For example, if podsPerCore
is set to 10
on a
node with 4 processor cores, the maximum number of pods allowed on the node will
be 40
.
kubeletConfig:
podsPerCore: 10
Setting podsPerCore
to 0
disables this limit. The default is 0
.
The value of the podsPerCore
parameter cannot exceed the value of the maxPods
parameter.
The maxPods
parameter sets the number of pods the node can run to a fixed value, regardless
of the properties of the node.
kubeletConfig:
maxPods: 250
Two parameters control the maximum number of pods that can be scheduled to a node: podsPerCore
and maxPods
. If you use both options, the lower of the two limits the number of pods on a node.
For example, if podsPerCore
is set to 10
on a node with 4 processor cores, the maximum number of pods allowed on the node will be 40.
Obtain the label associated with the static MachineConfigPool
CRD for the type of node you want to configure by entering the following command:
$ oc edit machineconfigpool <name>
For example:
$ oc edit machineconfigpool worker
apiVersion: machineconfiguration.openshift.io/v1
kind: MachineConfigPool
metadata:
creationTimestamp: "2022-11-16T15:34:25Z"
generation: 4
labels:
pools.operator.machineconfiguration.openshift.io/worker: "" (1)
name: worker
#...
1 | The label appears under Labels. |
If the label is not present, add a key/value pair such as: $ oc label machineconfigpool worker custom-kubelet=small-pods |
Create a custom resource (CR) for your configuration change.
max-pods
CRapiVersion: machineconfiguration.openshift.io/v1
kind: KubeletConfig
metadata:
name: set-max-pods (1)
spec:
machineConfigPoolSelector:
matchLabels:
pools.operator.machineconfiguration.openshift.io/worker: "" (2)
kubeletConfig:
podsPerCore: 10 (3)
maxPods: 250 (4)
#...
1 | Assign a name to CR. |
2 | Specify the label from the machine config pool. |
3 | Specify the number of pods the node can run based on the number of processor cores on the node. |
4 | Specify the number of pods the node can run to a fixed value, regardless of the properties of the node. |
Setting |
In the above example, the default value for podsPerCore
is 10
and the default value for maxPods
is 250
. This means that unless the node has 25 cores or more, by default, podsPerCore
will be the limiting factor.
Run the following command to create the CR:
$ oc create -f <file_name>.yaml
List the MachineConfigPool
CRDs to see if the change is applied. The UPDATING
column reports True
if the change is picked up by the Machine Config Controller:
$ oc get machineconfigpools
NAME CONFIG UPDATED UPDATING DEGRADED
master master-9cc2c72f205e103bb534 False False False
worker worker-8cecd1236b33ee3f8a5e False True False
Once the change is complete, the UPDATED
column reports True
.
$ oc get machineconfigpools
NAME CONFIG UPDATED UPDATING DEGRADED
master master-9cc2c72f205e103bb534 False True False
worker worker-8cecd1236b33ee3f8a5e True False False