Install Argo Workflows

Install Argo Workflows

Release v3.4.3 · argoproj/argo-workflows (github.com)

CLI

# 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

Controller and Server

kubectl create namespace argo
kubectl apply -n argo -f https://github.com/argoproj/argo-workflows/releases/download/v3.4.3/install.yaml

Patch argo-server authentication

kubectl patch deployment \
  argo-server \
  --namespace argo \
  --type='json' \
  -p='[{"op": "replace", "path": "/spec/template/spec/containers/0/args", "value": [
  "server",
  "--auth-mode=server"
]}]'

ingress for the UI

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: argo-ingress
  namespace: argo
  annotations:
    ingress.kubernetes.io/rewrite-target: /
    nginx.ingress.kubernetes.io/backend-protocol: https # ingress-nginx
spec:
  defaultBackend:
    service:
      name: argo-server
      port:
        number: 2746
  rules:
    - host: argo-workflow.sdaas.com
      http:
        paths:
          - backend:
              service:
                name: argo-server
                port:
                  number: 2746
            path: /
            pathType: Prefix

Port-forward the UI

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

This will serve the UI on https://localhost:2746. Due to the self-signed certificate, you will receive a TLS error which you will need to manually approve.

Submitting an example workflow

Submit an example workflow (CLI)

argo submit -n argo --watch https://raw.githubusercontent.com/argoproj/argo-workflows/master/examples/hello-world.yaml

apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  generateName: hello-world-
  labels:
    workflows.argoproj.io/archive-strategy: "false"
  annotations:
    workflows.argoproj.io/description: |
      This is a simple hello world example.
      You can also run it in Python: https://couler-proj.github.io/couler/examples/#hello-world
spec:
  entrypoint: whalesay
  templates:
  - name: whalesay
    container:
      image: docker/whalesay:latest
      command: [cowsay]
      args: ["hello world"]

You can list all the Workflows you have submitted by running the command below:

argo list -n argo
argo get -n argo @latest
argo logs -n argo @latest

Walk Through

Parameters

apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  generateName: hello-world-parameters-
spec:
  # invoke the whalesay template with
  # "hello world" as the argument
  # to the message parameter
  entrypoint: whalesay
  arguments:
    parameters:
    - name: message
      value: hello world

  templates:
  - name: whalesay
    inputs:
      parameters:
      - name: message       # parameter declaration
    container:
      # run cowsay with that message input parameter as args
      image: docker/whalesay
      command: [cowsay]
      args: ["{{inputs.parameters.message}}"]

argo submit -n argo --watch arguments-parameters.yaml -p message="goodbye world"

RBAC （需要调试）

---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: argo-workflow
rules:
# pod get/watch is used to identify the container IDs of the current pod
# pod patch is used to annotate the step's outputs back to controller (e.g. artifact location)
- apiGroups:
  - ""
  resources:
  - pods
  verbs:
  - get
  - watch
  - patch
  - list
  - create
# logs get/watch are used to get the pods logs for script outputs, and for log archival
- apiGroups:
  - ""
  resources:
  - pods/log
  verbs:
  - get
  - watch
  - list
  - create
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: argo-default-workflow
  namespace: argo
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: argo-workflow
subjects:
- kind: ServiceAccount
  name: argo
  namespace: default