Learn ARGO-WORKFLOWS with Real Code Examples

Install Argo Workflows via Helm chart or kubectl manifests

Create namespace and RBAC permissions in Kubernetes

Install optional Argo CLI for workflow submission

Configure artifact repository (S3, GCS, MinIO, etc.)

Verify installation with example workflows

Install Argo Workflows on Kubernetes cluster

Set up RBAC and namespaces

Configure artifact repository

Install Argo CLI for management

Test installation with example workflow

workflow.yaml - main workflow definition

templates/ - reusable step templates

scripts/ - scripts executed in containers

artifacts/ - input/output data

env/ - optional environment variables or secrets

argo submit workflow.yaml - submit workflow

argo list - list workflows

argo get <workflow> - view workflow details

argo logs <workflow> - view step logs

argo delete <workflow> - delete workflow

UTF-8 supported in YAML and logs

UI primarily in English

CLI supports Unicode output

Artifacts can contain multi-language data

Community documentation available in multiple languages

Accessible via CLI, UI, and API

Supports Kubernetes RBAC for user access

Multi-namespace deployment supported

Logs and artifacts accessible per workflow

Versioned YAML manifests for reproducibility

Argo UI for workflow visualization

Step DAGs displayed graphically

Logs available in UI per step

Real-time status monitoring

Visualize cron and event-triggered workflows

Workflow CRD stores desired state

Controller ensures pods execute as specified

Step results recorded and artifacts managed

Retries and failure handling enforced by controller

Workflow status reflects current execution state

Artifacts stored in object storage

Environment variables passed to steps

Secrets managed via Kubernetes Secrets

Workflow metadata stored in CRD

Logs available via CLI, UI, or central logging