Container Service for Kubernetes:Argo Workflows

Introduction

Argo Workflows is developed based on the open-source Argo Workflows project with enhanced stability and performance. It allows you to deploy large-scale workflows within clusters.

Use cases

Argo Workflows is ideal for standard workflow scenarios, such as:

• Machine learning pipelines

• Autonomous driving simulations

• Gene sequencing tasks

• Batch data processing

• Continuous integration and continuous delivery (CI/CD)

• Infrastructure automation

Usage notes

• If you require O&M-free and high performance for large-scale workflow orchestration, we recommend that you use Serverless Argo Workflows. For more information, see Overview of Kubernetes clusters for distributed Argo workflows.

• To submit workflows, see Manage workflows. For best practices, see Best practices.

• If you have any questions or suggestions, join the DingTalk group 35688562 to discuss with the technical team.

Install Argo Workflows

Argo Workflows can be installed on the Add-ons page of the Container Service for Kubernetes (ACK) console.

1. Log on to the ACK console. In the left-side navigation pane, click Clusters.

2. On the Clusters page, find the cluster that you want to manage and click its name. In the left-side navigation pane, click Add-ons.

3. On the Add-ons page, search for Argo Workflows.

4. Find Argo Workflows and click Install on its card.

5. In the Install Argo Workflows pop-up, click OK.

Verify the deployment

1. On the Clusters page, find the cluster that you want to manage and click the name of the cluster or click Details in the Actions column.

2. In the left-side navigation pane, choose Applications > Helm.

3. On the Helm page, check the deployment status of Argo Workflows. If the Status column displays Deployed, Argo Workflows is successfully deployed.

Release notes