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🔧 Argo Workflows

Argo Workflows

The workflow engine for Kubernetes.

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Overview

Argo Workflows is an open-source, container-native workflow engine for orchestrating parallel jobs on Kubernetes. It is implemented as a Kubernetes CRD (Custom Resource Definition) and allows you to define workflows where each step in the workflow is a container.

✨ Key Features

  • Define workflows as Directed Acyclic Graphs (DAGs) or step-based sequences
  • Artifact management (S3, Artifactory, GCS, etc.)
  • Workflow templating for reusability
  • Cron workflows for scheduling
  • Web UI for visualizing and managing workflows
  • Parameterization, conditionals, and loops
  • Retry logic and timeouts

🎯 Key Differentiators

  • Kubernetes-native architecture
  • Purely declarative workflows using YAML
  • High scalability for massively parallel jobs

Unique Value: Provides a powerful, scalable, and Kubernetes-native way to orchestrate complex, parallel workflows, from CI/CD to big data and machine learning.

🎯 Use Cases (5)

CI/CD pipelines Machine Learning pipelines (e.g., training models) Data processing and ETL jobs Infrastructure automation and orchestration Batch processing

✅ Best For

  • Complex CI/CD pipelines on Kubernetes
  • Large-scale parallel data processing
  • Orchestrating ML model training

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Simple, single-container jobs
  • Real-time, low-latency stream processing

🏆 Alternatives

Apache Airflow Tekton Jenkins GitHub Actions Kubeflow Pipelines

Unlike traditional workflow engines, Argo Workflows is built from the ground up for Kubernetes, making it more efficient and seamlessly integrated with the cloud-native ecosystem.

💻 Platforms

Web API CLI

🔌 Integrations

Kubernetes Argo Events Prometheus S3 GCS Artifactory Git

🔒 Compliance & Security

✓ SSO ✓ CNCF Graduated Project

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Fully-featured, open-source software.

Visit Argo Workflows Website →

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