KodeCloud CKAD Namespaces

Links: 111 KodeCloud Index

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Namespaces

• We have been deploying resources in the default namespace.
  • The default namespace is created by k8s.
• k8s also creates different pods for its internal use.
  • To isolate this from the user, k8s creates them at kube-system namespace to prevent any kind of accidental deletion.
• k8s also creates a space called kube-public where resources that should be available to all the users are created.
  • 
• Each of the namespaces can have its own set of policies to define who can do what.
• We can also assign a quota of resources to these namespaces.

The resources within the same namespace can refer to each other by just simple names.

If we want to connect to services in other namespace then we have to provide the full address.
We can do this because when a service is created a DNS entry is added to it automatically in the above format.

• Understanding DNS service name:

  • 

• k get <resources-type> -n <namespace>

• We can have the namespace option under the metadata section in the definition file of any resource to make sure that resource gets created in that namespace.

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• We can create a namespace using the namespace definition file and then applying it.

  apiVersion: v1
  kind: Namespace
  metadata:
      name: dev
  

• Get all the namespaces of the system:

  • k get ns
• We can also create a namespace using the command line
  • k create namespace dev
• Changing the current namespace:
  • k config set-context $(kubectl config current-context) --namespace=dev
  • Since we can have different contexts (if we are managing different clusters) we first find our context (with the command in the middle) and then set its namespace to dev.
• View a resource in all namespaces
  • k get <resource-type> --all-namespaces
• To limit resources in a namespace we create a ResourceQuota.
• Sample definition file for a resource quota

  apiVersion: v1
  kind: ResourceQuota
  metadata:
      name: compute-quota
      namespace: dev
  spec:
      hard:
          pods: "10"
          requests.cpu: "4"
          requests.memory: 5Gi
          limits.cpu: "10"
          limits.memory: 10Gi
  

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Last updated: 2023-05-03