# How-To Implement CPU and Memory System Reservation for Kubernetes Nodes

## Problem

You are observing CPU or memory constraints on your Kubernetes nodes and would like to implement *systemReserved* parameter to reserve some resources for the system processes.

## Environment

* Platform9 Managed Kubernetes - All Versions
* *Kubelet*

## Procedure

1. Identify the *worker kubelet* configuration within the cluster.

{% tabs %}
{% tab title="Javascript" %}

```javascript
# kubectl get cm -n kube-system
NAME                                 DATA   AGE
calico-config                        4      11d
coredns                              1      11d
dns-autoscaler                       1      11d
extension-apiserver-authentication   6      11d
kube-root-ca.crt                     1      11d
master-default-kubelet-config        1      11d
metrics-server-config                1      11d
worker-default-kubelet-config        1      11d
```

{% endtab %}
{% endtabs %}

2. Backup the original *kubelet* configuration *configmap*.

{% tabs %}
{% tab title="Javascript" %}

```javascript
# kubectl get cm worker-default-kubelet-config -n kube-system -o yaml > <path_to_backup>
```

{% endtab %}
{% endtabs %}

3. Modify the *default\_\_kubelet configmap* and add the *systemReserved* parameter.

{% tabs %}
{% tab title="Javascript" %}

```javascript
# kubectl edit cm worker-default-kubelet-config -n kube-system
.........
    authorization:
      mode: AlwaysAllow
    systemReserved:
      memory: "1Gi"
      cpu: "1"
    clusterDNS:
    - "10.21.0.10"
........
```

{% endtab %}
{% endtabs %}

## Additional Information

* As soon as the file is saved, the changes are automatically applied to all the existing worker nodes.
* As a part of this change, the *kubelet* service on the *worker* node gets restarted.


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