Audience

Developers and enterprises in search of a solution to run workflows and manage clusters

About Argo

Open-source tools for Kubernetes to run workflows, manage clusters and do GitOps right. Kubernetes-native workflow engine supporting DAG and step-based workflows. Declarative continuous delivery with a fully-loaded UI. Advanced Kubernetes deployment strategies such as Canary and Blue-Green made easy. Argo Workflows is an open-source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a graph (DAG). Easily run compute-intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. Designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments.

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Integrations

API:
Yes, Argo offers API access
See Integrations

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

Argo
United States
argoproj.github.io

Videos and Screen Captures

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Product Details

Platforms Supported
Windows
Linux
Training
Documentation
Webinars
Videos
Support
Online

Argo Frequently Asked Questions

Q: What kinds of users and organization types does Argo work with?
Q: What languages does Argo support in their product?
Q: What kind of support options does Argo offer?
Q: What other applications or services does Argo integrate with?
Q: Does Argo have an API?
Q: What type of training does Argo provide?

Argo Product Features

Continuous Delivery

Build Log
Continuous Integration
Continuous Deployment
Change Management
Configuration Management
Testing Management
Quality Management
Application Release Automation
Build Automation
Application Lifecycle Management
Feature Toggles / Feature Flags

Argo Additional Categories