I written deployment file as follow, which is giving me error as unknown field "platform". Any idea on what to specify so that it deploy based on architecture?
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.7.9
ports:
- containerPort: 80
platform:
architecture: amd64
os: linux
- name: nginx
image: ppc64le/nginx:1.7.9
ports:
- containerPort: 80
platform:
architecture: ppc64le
os: linuxYou have to use nodeAffinity definitions on your deployment spec. Here's an example I use to pin tasks to amd64 or arm hosts:
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: beta.kubernetes.io/arch
operator: In
values:
- amd64
You can use arbitrary keys and values. Here's the documented example
If you look at the specification of a container - there is no field defined for platform - so your error is to do with a error in deployment YAML. You will have to remove following block from your YAML to make it work (Provided no other issues in manifest):
platform:
architecture: ppc64le
os: linuxSecondly AFAIK, what you are trying to do is not possible. There are two approaches which I can suggest as alternatives:
If you are using helm, you can parameterize the version of Nginx image and then dynamically pass it based on your knowledge of target OS architecture.
The second approach is to use taints and tolerations or node affinity to schedule pods on the node with the appropriate OS. This also means you will have to potentially do multiple deployments - one for each architecture.
Details of taints and tolerations documentation can be found here Details of node & pod affinity can be found here