Kubernetes clusters for distributed Argo workflows (workflow clusters) are deployed on top of a serverless architecture and runs Argo workflows on elastic container instances. By optimizing cluster parameters and using preemptible elastic container instances, workflow clusters can schedule large-scale workflows with efficiency, elasticity, and cost-effectiveness. This topic describes how to quickly get started with workflow clusters and the usage notes for references.
Getting started
Usage notes for references
Basic features
Feature | References |
Create a workflow cluster and obtain the kubeconfig file of the cluster | |
Create a workflow | |
Access the Argo Server console |
Advanced features
Feature | References |
Manage workflow clusters | |
Manage workflows | |
Eventing | |
Observability |
References
To learn the features, benefits, and network design of workflow clusters and how they work, refer to Overview of Kubernetes clusters for distributed Argo workflows.
No cluster management fee is charged for workflow clusters. If other Alibaba Cloud services are used when you use workflow clusters, you must pay for these services based on their billing rules. For more information about billing, see ACK One billing.