Install Argo Workflows
2024-09-08 17:08:40
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
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