Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows 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 directed acyclic 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.


Machine Learning.
Time- and event-based workflow execution policies.
Organizing and executing widespread deployments of complex, multifaceted applications.
CI/CD pipelines.
ETL, Data Analytics & Data Science.
Data processing pipelines.

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