Install ArgoCD from Helm chart

Install Argo helm repo

helm repo add argo https://argoproj.github.io/argo-helm

Apply ArgoCD Helm charts

helm install argocd argo/argo-cd --namespace argocd --create-namespace --version 5.13.5

Enter UI locally:

1. Port-forward argocd-server

kubectl -n argocd port-forward svc/argocd-server 8080:443

2. Navigate to https://localhost:8080

3. Admin credentials: Username: Admin Password: kubectl -n argocd get secret argocd-initial-admin-secret -o jsonpath="{.data.password}" | base64 -d

4. Change admin password:

5. You should delete the initial secret afterwards as suggested by the Getting Started Guide: https://argo-cd.readthedocs.io/en/stable/getting_started/#4-login-using-the-cli

kubectl -n argo delete secret argocd-initial-admin-secret

Install Argo workflow

If it's not installed already, Install Argo helm repo

helm repo add argo https://argoproj.github.io/argo-helm

Apply Argo Workflow Helm charts

helm install argowf -f helm/argo-wf/values.yaml argo/argo-workflows --namespace argo --create-namespace --version 0.20.6

Enter UI locally:

1. Port-forward argo-workflows-server

kubectl -n argo port-forward deployment/argowf-argo-workflows-server 2746:2746

2. Navigate to https://localhost:2746

Install Argo CLI to interact with Workflows

https://github.com/argoproj/argo-workflows/releases/tag/v3.4.3

For Linux:

# Download the binary
curl -sLO https://github.com/argoproj/argo-workflows/releases/download/v3.4.3/argo-linux-amd64.gz

# Unzip
gunzip argo-linux-amd64.gz

# Make binary executable
chmod +x argo-linux-amd64

# Move binary to path
mv ./argo-linux-amd64 /usr/local/bin/argo

# Test installation
argo version

Service Account used by Argo Workflows

This is shipped from helm chart

• SA: argo-workflow
• Role: argowf-argo-workflows-workflow
• RoleBinding: argowf-argo-workflows-workflow

Create AWS S3 secrets

This is used by the requested workflow and the Artifact Repository below:

1. Export AWS secrets as env vars

export AWS_ACCESS_KEY_ID="replace-with-access-key"
export AWS_SECRET_ACCESS_KEY="replace-with-secret-key"
export AWS_DEFAULT_REGION="replace-with-default-region"

2. Create secret in argo namespace

kubectl -n argo create secret generic aws-s3-creds \
    --from-literal=accessKey=$AWS_ACCESS_KEY_ID \
    --from-literal=secretKey=$AWS_SECRET_ACCESS_KEY \
    --from-literal=region=$AWS_DEFAULT_REGION

Create volume

This is to be passed around containers as workspace.

kubectl create -f wf/local-volume.yaml

Run Argo Workflow

Workflow details

For this case:

• Local volume to pass around containers
• S3 input bucket: s3://inputzzz
• S3 output bucket: s3://outputzzz

argo -n argo submit wf/requested-workflow.yaml --serviceaccount argo-workflow --watch

Argo Workflow Useful commands

# List workflows
argo -n argo list

# See logs
argo -nargo logs process-bak-files6hsm7
argo -nargo logs @latest

# Delete workflow
argo -n argo delete process-bak-files6hsm7
argo -n argo delete @latest