Argo

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

• Define workflows where each step in the workflow is a container.
• 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.

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.

Features

• DAG or Steps based declaration of workflows
• Artifact support (S3, Artifactory, HTTP, Git, raw)
• Step level input & outputs (artifacts/parameters)
• Loops
• Parameterization
• Conditionals
• Timeouts (step & workflow level)
• Retry (step & workflow level)
• Resubmit (memoized)
• Suspend & Resume
• Cancellation
• K8s resource orchestration
• Exit Hooks (notifications, cleanup)
• Garbage collection of completed workflow
• Scheduling (affinity/tolerations/node selectors)
• Volumes (ephemeral/existing)
• Parallelism limits
• Daemoned steps
• DinD (docker-in-docker)
• Script steps