Expose Pod Information to Containers Through Files

You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds:

• Play with Kubernetes

To check the version, enter .

The Downward API

There are two ways to expose Pod and Container fields to a running Container:

• Environment variables
• Volume Files

Together, these two ways of exposing Pod and Container fields are called the Downward API.

In this exercise, you create a Pod that has one Container. Here is the configuration file for the Pod:

In the configuration file, you can see that the Pod has a downwardAPI Volume, and the Container mounts the Volume at /etc/podinfo.

Look at the items array under downwardAPI. Each element of the array is a DownwardAPIVolumeFile. The first element specifies that the value of the Pod’s metadata.labels field should be stored in a file named labels. The second element specifies that the value of the Pod’s annotations field should be stored in a file named annotations.

Note: The fields in this example are Pod fields. They are not fields of the Container in the Pod.

Create the Pod:

kubectl apply -f https://k8s.io/examples/pods/inject/dapi-volume.yaml

Verify that the Container in the Pod is running:

kubectl get pods

View the Container’s logs:

kubectl logs kubernetes-downwardapi-volume-example

cluster="test-cluster1"
rack="rack-22"
zone="us-est-coast"
build="two"
builder="john-doe"

Get a shell into the Container that is running in your Pod:

In your shell, view the labels file:

/# cat /etc/podinfo/labels

The output shows that all of the Pod’s labels have been written to the labels file:

cluster="test-cluster1"
rack="rack-22"
zone="us-est-coast"

Similarly, view the annotations file:

/# cat /etc/podinfo/annotations

View the files in the /etc/podinfo directory:

/# ls -laR /etc/podinfo

In the output, you can see that the labels and annotations files are in a temporary subdirectory: in this example, ..2982_06_02_21_47_53.299460680. In the /etc/podinfo directory, ..data is a symbolic link to the temporary subdirectory. Also in the /etc/podinfo directory, labels and annotations are symbolic links.

Using symbolic links enables dynamic atomic refresh of the metadata; updates are written to a new temporary directory, and the ..data symlink is updated atomically using .

Note: A container using Downward API as a subPath volume mount will not receive Downward API updates.

Exit the shell:

/# exit

Store Container fields

The preceding exercise, you stored Pod fields in a DownwardAPIVolumeFile. In this next exercise, you store Container fields. Here is the configuration file for a Pod that has one Container:

pods/inject/dapi-volume-resources.yaml

apiVersion: v1
kind: Pod
metadata:
  name: kubernetes-downwardapi-volume-example-2
spec:
    - name: client-container
      image: k8s.gcr.io/busybox:1.24
      args:
      - while true; do
          echo -en '\n';
          if [[ -e /etc/podinfo/cpu_limit ]]; then
            echo -en '\n'; cat /etc/podinfo/cpu_limit; fi;
          if [[ -e /etc/podinfo/cpu_request ]]; then
            echo -en '\n'; cat /etc/podinfo/cpu_request; fi;
          if [[ -e /etc/podinfo/mem_limit ]]; then
            echo -en '\n'; cat /etc/podinfo/mem_limit; fi;
          if [[ -e /etc/podinfo/mem_request ]]; then
            echo -en '\n'; cat /etc/podinfo/mem_request; fi;
          sleep 5;
        done;
      resources:
        requests:
          memory: "32Mi"
          cpu: "125m"
        limits:
          memory: "64Mi"
          cpu: "250m"
      volumeMounts:
        - name: podinfo
          mountPath: /etc/podinfo
  volumes:
    - name: podinfo
      downwardAPI:
        items:
          - path: "cpu_limit"
            resourceFieldRef:
              containerName: client-container
              resource: limits.cpu
              divisor: 1m
          - path: "cpu_request"
            resourceFieldRef:
              containerName: client-container
              resource: requests.cpu
          - path: "mem_limit"
            resourceFieldRef:
              containerName: client-container
              resource: limits.memory
          - path: "mem_request"
            resourceFieldRef:
              containerName: client-container
              resource: requests.memory
              divisor: 1Mi

In the configuration file, you can see that the Pod has a downwardAPI Volume, and the Container mounts the Volume at /etc/podinfo.

The first element specifies that in the Container named client-container, the value of the limits.cpu field in the format specified by 1m should be stored in a file named cpu_limit. The divisor field is optional and has the default value of 1 which means cores for cpu and bytes for memory.

Create the Pod:

kubectl apply -f https://k8s.io/examples/pods/inject/dapi-volume-resources.yaml

Get a shell into the Container that is running in your Pod:

kubectl exec -it kubernetes-downwardapi-volume-example-2 -- sh

In your shell, view the cpu_limit file:

You can use similar commands to view the cpu_request, mem_limit and mem_request files.

The following information is available to containers through environment variables and downwardAPI volumes:

• Information available via fieldRef:
  • metadata.name - the pod’s name
  • metadata.namespace - the pod’s namespace
  • metadata.uid - the pod’s UID
  • metadata.labels['<KEY>'] - the value of the pod’s label <KEY> (for example, metadata.labels['mylabel'])
  • metadata.annotations['<KEY>'] - the value of the pod’s annotation <KEY> (for example, metadata.annotations['myannotation'])
• Information available via resourceFieldRef:
  • A Container’s CPU limit
  • A Container’s CPU request
  • A Container’s memory limit
  • A Container’s memory request
  • A Container’s hugepages limit (providing that the DownwardAPIHugePages is enabled)
  • A Container’s hugepages request (providing that the DownwardAPIHugePages feature gate is enabled)
  • A Container’s ephemeral-storage limit
  • A Container’s ephemeral-storage request

In addition, the following information is available through downwardAPI volume fieldRef:

• metadata.labels - all of the pod’s labels, formatted as label-key="escaped-label-value" with one label per line
• metadata.annotations - all of the pod’s annotations, formatted as annotation-key="escaped-annotation-value" with one annotation per line

The following information is available through environment variables:

• status.podIP - the pod’s IP address
• spec.serviceAccountName - the pod’s service account name, available since v1.4.0-alpha.3
• spec.nodeName - the node’s name, available since v1.4.0-alpha.3
• - the node’s IP, available since v1.7.0-alpha.1

Note: If CPU and memory limits are not specified for a Container, the Downward API defaults to the node allocatable value for CPU and memory.

Project keys to specific paths and file permissions

You can project keys to specific paths and specific permissions on a per-file basis. For more information, see Secrets.

It is sometimes useful for a Container to have information about itself, without being overly coupled to Kubernetes. The Downward API allows containers to consume information about themselves or the cluster without using the Kubernetes client or API server.

An example is an existing application that assumes a particular well-known environment variable holds a unique identifier. One possibility is to wrap the application, but that is tedious and error prone, and it violates the goal of low coupling. A better option would be to use the Pod’s name as an identifier, and inject the Pod’s name into the well-known environment variable.

What’s next

• PodSpec
• DownwardAPIVolumeSource