Configure Artifact Repository

Configure Artifact Repository

Argo uses an artifact repository to pass data between jobs in a workflow, known as artifacts. Amazon S3 can be used as an artifact repository.

Let’s create a S3 bucket using the AWS CLI.

This S3 bucket has been created for you.
You can proceed with the next step.

aws s3 mb s3://batch-artifact-repository-${ACCOUNT_ID}/

Next, edit the workflow-controller ConfigMap to use the S3 bucket.

kubectl edit -n argo configmap/workflow-controller-configmap

Add the following lines to the end of the ConfigMap, substituting your Account ID for {{ACCOUNT_ID}}:

  config: |
        bucket: batch-artifact-repository-{{ACCOUNT_ID}}

Create an IAM Policy

In order for Argo to read from/write to the S3 bucket, we need to configure an inline policy and add it to the EC2 instance profile of the worker nodes.

First, we will need to ensure the Role Name our workers use is set in our environment:

test -n "$ROLE_NAME" && echo ROLE_NAME is "$ROLE_NAME" || echo ROLE_NAME is not set

If you receive an error or empty response, expand the steps below to export.

Expand here if you need to export the Role Name
# Example Output
ROLE_NAME is eks-workshop-nodegroup

Create and policy and attach to the worker node role.

This IAM policy has been created for you and has been attached to the correct role.
You can proceed with the next step.

mkdir ~/environment/batch_policy
cat <<EoF > ~/environment/batch_policy/k8s-s3-policy.json
  "Version": "2012-10-17",
  "Statement": [
      "Effect": "Allow",
      "Action": [
      "Resource": [
aws iam put-role-policy --role-name $ROLE_NAME --policy-name S3-Policy-For-Worker --policy-document file://~/environment/batch_policy/k8s-s3-policy.json

Validate that the policy is attached to the role

aws iam get-role-policy --role-name $ROLE_NAME --policy-name S3-Policy-For-Worker