Aug 2017
Apache-2.0 License
Github open issues
Github stars
27 Oct
Github last commit
Stackoverflow questions

What is Argo?

Argo Workflows is an open-source and container-native workflow engine that helps orchestrate parallel jobs on Kubernetes. It is implemented as a Customer Resource Definition of Kubernetes. 

Argo enables defining workflows with every step in the pipeline as a container. It allows creating multi-step workflows with a sequence of tasks and mapping the dependencies using DAGs.

Argo supports building portable and version-controlled pipelines for compute-intensive data science jobs. It contributes to the Kubernetes ecosystem with better accessibility, CI/CD support, and advanced Kubernetes deployment strategies.

How Does Argo Help?

Argo workflows provide a mechanism for feeding and tending a Kubernetes cluster. It helps specify, schedule and coordinate the execution of intricate task pipelines and applications on Kubernetes. Argo provides the following benefits.

  • It is specially designed for containers eliminating the limitations of server-based environments and legacy virtual machines
  • Supports orchestration of complex parallel jobs on Kubernetes with adequate dependency tracking
  • Helps orchestrate complex, distributed applications
  • Facilitates time and event-based execution of workflows
  • Go modules support

Key Features of Argo

Cloud agnostic

Argo is a lightweight, cloud-agnostic workflow engine that works with any Kubernetes cluster. It is designed to be configurable and operates across environments.

Fully featured UI

Argo offers a fully-featured, robust, and reliable UI to support Argo Events, DAGs, workflow log viewer, embeddable widgets, configurable “Get Help” button, and configurable link buttons. 

Controller-High availability 

Argo v3.0 brings a hot-standby workflow controller feature for quick recovery and high availability. It leverages the Kubernetes leader election feature for faster crash recovery.

Key-Only artifacts

Argo provides a default artifact repository and key-only artifacts that work together. Default artifact repository is configured for user namespace, avoiding explicit repository definition for each workflow. Argo workflow specification requires “key-only” fields, and non-key fields are inherited.

New API endpoints

Argo Workflows 3.0 brings brand-new API endpoints for Argo events. The event-flow page helps understand how event sources and sensors are linked, as well as trigger-based linking in workflows. 

New repository location 

Argo workflow repository is renamed as argo-workflows. The new name indicates that it is the repo for Argo Workflows and not the entire Argo Project. 

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