Argo - The Workflow Engine for Kubernetes

What is Argo?

Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo is implemented as a Kubernetes CRD (Customer Resource Definition).

• Define workflows where each step in the workflow is a container.
  • Soon, you will also be able to define workflows as a dependency graph (DAG).
• Easily leverage Kubernetes to run compute intensive jobs like data processing or machine learning jobs in a fraction of the time using Argo workflows.
• Run rich CI/CD pipelines using Docker-in-Docker, built-in artifact management, secret management and native access to other Kubernetes resources.

Why Argo?

• Argo is designed from the ground up for containers without the overhead and limitations of legacy VM and server-based environments.
• Argo is cloud agnostic and can run on any kubernetes cluster.
• Argo with Kubernetes puts a cloud-scale supercomputer at your fingertips.
• We want to make it as easy to run Argo workflows on Kubernetes as it is to run jobs on you laptop.

Argo 2.0 Alpha

Argo 2.0 is a Kubernetes Custom Resource Definition (CRD) which can run workflows using kubectl commands.

• Get started here
• How to write Argo workflow specs
• How to configure your artifact repository

Presentations

• TGI Kubernetes with Joe Beda: Argo workflow system

Resources

• Argo GitHub: https://github.com/argoproj
• Argo Slack: click here to join
• Argo website: https://argoproj.github.io/argo-site
• Argo forum: https://groups.google.com/forum/#!forum/argoproj