Kubernetes Workflow Engine
16.6k 2026-04-13
argoproj/argo-workflows
A container-native workflow engine for orchestrating parallel jobs and multi-step tasks on Kubernetes.
Core Features
Define workflows where each step is a container.
Model multi-step workflows using Directed Acyclic Graphs (DAGs).
Efficiently run compute-intensive jobs for machine learning or data processing.
Provides a UI to visualize and manage Workflows.
Supports various artifact storage solutions (S3, Artifactory, Alibaba Cloud OSS, Azure Blob Storage, HTTP, Git, GCS).
Detailed Introduction
Argo Workflows is a CNCF graduated open-source, container-native workflow engine built for orchestrating parallel jobs on Kubernetes. Implemented as a Kubernetes Custom Resource Definition (CRD), it enables users to define complex multi-step workflows where each task runs as a container, leveraging DAGs for dependency management. This lightweight, scalable, and cloud-agnostic solution is ideal for machine learning pipelines, data processing, infrastructure automation, and CI/CD, offering a modern alternative to legacy VM-based environments.