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.
- 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 is a Kubernetes Custom Resource Definition (CRD) which can run workflows using kubectl commands.
- Argo website: https://argoproj.github.io/argo-site
- Argo GitHub: https://github.com/argoproj
- Argo Slack: click here to join
- Argo forum: https://groups.google.com/forum/#!forum/argoproj