Argo Workflows Data Pipelines

Build data pipelines and batch processing workflows with Argo Workflows on Kubernetes. This guide provides step-by-step instructions for setting up and managing this technology on your VPS-based Kubernetes infrastructure.

Overview

This technology addresses a critical aspect of Kubernetes operations. Understanding and properly configuring it is essential for running production-grade clusters on VPS infrastructure.

Installation

# Install using Helm (most common method)
helm repo add argo-workflows-data-pipelines https://charts.example.com
helm repo update

helm install argo-workflows-data-pipelines argo-workflows-data-pipelines/argo-workflows-data-pipelines \
    --namespace argo-workflows-data-pipelines-system \
    --create-namespace \
    --values values.yaml

# Verify installation
kubectl get pods -n argo-workflows-data-pipelines-system
kubectl get crd | grep argo-workflows-data-pipelines

Configuration

# values.yaml - Production configuration
replicaCount: 3

resources:
  limits:
    cpu: "1"
    memory: "1Gi"
  requests:
    cpu: "200m"
    memory: "256Mi"

persistence:
  enabled: true
  storageClass: local-path
  size: 10Gi

monitoring:
  enabled: true
  serviceMonitor:
    enabled: true
    interval: 30s

security:
  podSecurityContext:
    runAsNonRoot: true
    runAsUser: 1000
    fsGroup: 1000

Basic Usage

# Create a basic resource
cat