We use analytics and cookies to understand site traffic. Information about your use of our site is shared with Google for that purpose.You can read our privacy policies and terms of use etc by clicking here.
Argo
Batch jobs with argo
This page provides steps for installing argo.
Installation of Argo
We suggest to install argo in line with the argo instructions. At the time of writing these are:
kubectl create namespace argo
kubectl apply -n argo -f https://raw.githubusercontent.com/argoproj/argo/stable/manifests/install.yaml
Per Namespace Setup
If you intend to use Batch jobs on the namespace then you’ll need to create a service account for this:
kubectl apply -n ${namespace} -f - <<EOF
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: workflow
rules:
- apiGroups:
- ""
resources:
- pods
verbs:
- "*"
- apiGroups:
- "apps"
resources:
- deployments
verbs:
- "*"
- apiGroups:
- ""
resources:
- pods/log
verbs:
- "*"
- apiGroups:
- machinelearning.seldon.io
resources:
- "*"
verbs:
- "*"
EOF
kubectl create -n ${namespace} serviceaccount workflow
kubectl create rolebinding -n ${namespace} workflow --role=workflow --serviceaccount=${namespace}:workflow
And also configure a secret for batch jobs to communicate with S3 or minio (here assumed to be in minio-system namespace):
kubectl apply -n ${namespace} -f - <<EOF
apiVersion: v1
kind: Secret
metadata:
name: seldon-job-secret
type: Opaque
stringData:
AWS_ACCESS_KEY_ID: ${MINIOUSER}
AWS_SECRET_ACCESS_KEY: ${MINIOPASSWORD}
AWS_ENDPOINT_URL: http://minio.minio-system.svc.cluster.local:9000
USE_SSL: "false"
EOF
Last modified November 20, 2020: fix slip in rolebinding (7eff0c9)