Argo Workflows Has a Free API: Kubernetes-Native Workflow Engine for Data Pipelines

Argo Workflows is an open-source, container-native workflow engine for orchestrating parallel jobs on Kubernetes. It implements workflows as Kubernetes CRDs, making it ideal for ML pipelines, data processing, and CI/CD. What Is Argo Workflows? Argo Workflows is a CNCF graduated project that runs multi-step workflows where each step is a container. It supports DAG-based and step-based workflows with features like retries, timeouts, and conditional execution. Key Features: DAG and step-based workflows Artifact passing between steps Parameterized workflows (templates) Cron workflows Retry and timeout policies Web UI dashboard REST and gRPC API S3/GCS/MinIO artifact storage Installation kubectl create namespace argo kubectl apply -n argo -f https://github.com/argoproj/argo-workflows/releases/download/v3.6.0/install.yaml # Install CLI brew install argo # Port-forward UI kubectl -n argo port-forward svc/argo-server 2746:2746 Workflow Examples DAG Workflow apiVersion : argoproj.io/v1alpha1 ki