Argo Workflows

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 as a Directed Acyclic Graph (DAG) to capture task dependencies. This tool is ideal for developers, data scientists, and MLOps engineers who need to run compute-intensive jobs, such as machine learning training or data processing, efficiently on Kubernetes. It also allows for the native execution of CI/CD pipelines directly on Kubernetes, eliminating the need for complex external software development products. By leveraging containers and Kubernetes, it provides a cloud-agnostic solution that can run on any Kubernetes cluster, offering scalability and parallel processing capabilities.