Argo Workflows DAG Optimizer

Analyzes Argo Workflows DAG templates to identify parallelization opportunities. Uses the Argo Server API to fetch workflow execution history and critical path analysis.

Installation

Requirements and caveats from upstream:

• Including for Python users through the Hera Python SDK for Argo Workflows.
• Check out our Java, Golang, Python (Hera), and Typescript (Juno) clients.
• Scheduling (affinity/tolerations/node selectors)

Basic usage or getting-started notes:

• Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes.

• Cloud agnostic and can run on any Kubernetes cluster.

• Get started here

• Source: https://github.com/argoproj/argo-workflows

• Extracted from upstream docs: https://raw.githubusercontent.com/argoproj/argo-workflows/HEAD/README.md

Source

• Agent Skill Exchange