https://github.com/banshee86vr/ephemeral-test-environment

How to use vCluster, ArgoCD ApplicationSet and Pull request generator to manage short-live test ephemeral environments
https://github.com/banshee86vr/ephemeral-test-environment

argo argo-events argo-workflow ci-cd kubernetes security vcluster

Last synced: 6 months ago
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How to use vCluster, ArgoCD ApplicationSet and Pull request generator to manage short-live test ephemeral environments

• Host: GitHub
• URL: https://github.com/banshee86vr/ephemeral-test-environment
• Owner: banshee86vr
• Created: 2024-01-05T11:51:51.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-12-18T05:03:41.000Z (7 months ago)
• Last Synced: 2025-12-21T14:14:02.278Z (7 months ago)
• Topics: argo, argo-events, argo-workflow, ci-cd, kubernetes, security, vcluster
• Language: Smarty
• Homepage: https://lucabertelli.consulting/en/blog/vcluster
• Size: 448 KB
• Stars: 0
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
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# Ephemeral test environments for CI workflows

You can read the article at:

- My portfolio website: 

- On Medium: 

## How to use vCluster and Argo Workflow to manage ephemeral test environments

Project structure:

```text

.

├── argo-workflow

│   └── lang

└── hello-world-app

```

- `argo-workflow`: CI/CD pipeline templates

  - `lang`: ArgoWorkflow Templates for supported languages

- `hello-world-app` folder: Go Hello world application that prints a beautiful octopus 🐙 in ASCII code

Key highlights from the article include:

1. **vCluster Usage**: The article introduces vCluster as a pivotal tool for creating lightweight, ephemeral Kubernetes clusters. It's interesting how vCluster can be employed to instantiate and manage test environments on-demand, covering the scenarios where temporary clusters are essential for testing.

2. **Argo Workflow Implementation**: The article delves into the integration of Argo Workflow, a workflow engine for Kubernetes, providing a way to configure the orchestration of the deployment, testing, and teardown processes efficiently. The tool also enables the final user to define another kind of process drawing DAGs (). This feature supports complex scenarios where there is a requirement to maximize parallelism when running tasks.