Open Source Workflow Engine for Kubernetes

Argo Workflows is an open source container-native workflow engine designed for orchestrating parallel jobs on Kubernetes. It is implemented as a Kubernetes Custom Resource Definition (CRD), allowing users to define workflows where each step is a container. This enables the modeling of multi-step workflows as a sequence of tasks or capturing dependencies between tasks using a directed acyclic graph (DAG).

Key features:

• Light-weight and scalable - optimized for container environments.
• Artifact support - integrates with various storage solutions like S3 and Azure Blob Storage.
• Workflow templating - allows storage of commonly used workflows.
• Scheduled workflows - enables cron-based scheduling.
• REST API - provides a server interface for workflow management.
• Step-level input & outputs - manage artifacts and parameters effectively.
• Retry and resubmit capabilities - enhances workflow reliability.
• Community support - monthly meetings and extensive documentation.

Argo Workflows is widely used for various applications including machine learning pipelines, data processing, and CI/CD automation, making it a versatile tool for organizations leveraging Kubernetes.