Argo Workflows

Argo Workflows is an open-source, Kubernetes-native workflow engine for orchestrating containerized jobs, CI/CD pipelines, data processing, machine learning workloads, batch processing, and automated infrastructure workflows. It provides a declarative platform for defining, executing, monitoring, and managing complex multi-step workflows directly within Kubernetes environments.

• Run and manage containerized workflows natively on Kubernetes.
• Define complex workflows using declarative YAML-based workflow specifications.
• Support step-based and DAG-based workflows with sequential and parallel task execution.
• Manage workflow templates, reusable workflows, parameters, conditions, retries, and timeouts.
• Support CronWorkflows for scheduling recurring and automated workflows.
• Provide a web-based user interface and command-line interface for workflow management and monitoring.
• Support CI/CD pipelines, data processing, machine learning, batch jobs, and cloud-native automation.

Argo Workflows Usage:

$ sudo su
$ kubectl get nodes

# Check Argo Workflows components:
$ kubectl get pods -n argo

# Check Argo Workflows service:
$ kubectl get svc -n argo

# Check Argo Workflows version:
$ argo version

# Get login token:
$ kubectl create token argo-server -n argo

# Access Argo Workflows UI:
$ kubectl -n argo port-forward svc/argo-server 2746:2746 --address=0.0.0.0

$ Test the application in your browser: https://server-ip:2746