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Argo Workflows

Container-native workflow engine for orchestrating parallel jobs on Kubernetes.

LicenseApache-2.0
GitHub stars15.5k
Last commit1 weeks ago
Tags6 topics
Argo ProjectKubernetes WorkflowsDag OrchestrationDevopsBatch ProcessingGolang
Overview

Why consider Argo Workflows?

Argo Workflows is an open-source container-native workflow engine and DAG orchestrator for Kubernetes written in Go. It runs compute-intensive batch jobs, machine learning pipelines, and CI/CD automation directly as Kubernetes pods with step-level artifact passing.

Guided learning

Learn Argo Workflows by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Argo Workflows

Argo Workflows models complex parallel pipelines where each DAG task executes inside an isolated container.

Quickstart

bash
1# Submit a workflow manifest
2argo submit -n argo --watch https://raw.githubusercontent.com/argoproj/argo-workflows/main/examples/hello-world.yaml

Argo Workflows is licensed under the Apache License Version 2.0.

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Argo Workflows FAQs

Argo Workflows is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Argo Workflows is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Argo Workflows is listed as an alternative to Airflow. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.