Batch Processing with Argo Workflow
This workshop has been deprecated and archived. The new Amazon EKS Workshop is now available at www.eksworkshop.com.
In this Chapter, we will deploy common batch processing scenarios using Kubernetes and Argo.
What is Argo?
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.
Argo is a Cloud Native Computing Foundation (CNCF) hosted project.