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Argo Workflows: Kubernetes原生的容器化工作流引擎
A powerful open-source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Easily define complex workflows as sequences of tasks.
Go
Added on 2025年5月11日15,620
Stars3,291
ForksGo
LanguageProject Introduction
Summary
Argo Workflows is an open-source workflow engine designed specifically for Kubernetes. It enables the orchestration of parallel jobs, such as CI/CD pipelines, data processing, or machine learning workflows, defining them declaratively using Kubernetes Custom Resources.
Problem Solved
Orchestrating multi-step, complex, and often parallelizable tasks across multiple containers or services within a Kubernetes environment is challenging. Argo Workflows provides a declarative way to manage these distributed jobs reliably.
Core Features
Container Native Workflows
Define workflows using YAML, natively integrated with Kubernetes resources like Pods, Services, and ConfigMaps.
Flexible Execution Patterns
Execute tasks as steps or complex Directed Acyclic Graphs (DAGs) with conditional logic, loops, and retries.
Tech Stack
Kubernetes
Go
Containerd/Docker
YAML/CRDs
使用场景
Argo Workflows is highly versatile and can be applied to a wide range of automation and orchestration tasks on Kubernetes, including:
CI/CD Pipelines
Details
Automating build, test, and deployment stages for applications running on Kubernetes, integrating with Git repositories and container registries.
User Value
Enables fully automated, reproducible, and scalable CI/CD workflows directly within the Kubernetes cluster.
Big Data Processing
Details
Processing large datasets through a series of containerized steps, such as data ingestion, cleaning, transformation, and analysis.
User Value
Provides a cloud-native, scalable platform for executing complex data processing graphs on Kubernetes.
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