There Doesn't Seem To Be A Way To Leverage Argo Workflows To Generate Argocd Applications

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Introduction

Argo Workflows and Argo CD are two powerful tools in the Kubernetes ecosystem, designed to simplify the process of deploying and managing applications. However, when trying to leverage Argo Workflows to generate Argo CD applications, users may encounter difficulties. In this article, we will explore the issue of generating Argo CD applications using Argo Workflows and discuss potential solutions.

Describe the bug

When attempting to use Argo Workflows to generate Argo CD applications, users may encounter issues with the Resource template type. Specifically, the SuccessCondition and FailureCondition fields may not behave as expected, leading to failed workflows. This is because the conditions do not account for the application's prior state, which can result in a failed workflow even if the application is now in a healthy state.

Example Code

Resource: &wfv1.ResourceTemplate{
    Action: "apply",
    Manifest:         argoCDAppStr,
    SuccessCondition: "status.sync.status == Synced,status.health.status == Healthy",
    FailureCondition: "status.health.status notin (Healthy,Progressing,)",
},

Version

The issue is observed with the following version of Argo CD:

argocd: v2.13.3+a25c8a0
  BuildDate: 2025-01-03T19:55:58Z
  GitCommit: a25c8a0eef7830be0c2c9074c92dbea8ff23a962
  GitTreeState: clean
  GoVersion: go1.23.4
  Compiler: gc
  Platform: darwin/arm64

Problem Analysis

The problem lies in the fact that the SuccessCondition and FailureCondition fields do not account for the application's prior state. This can result in a failed workflow even if the application is now in a healthy state. To address this issue, users may need to implement custom logic to check the application's health status.

Potential Solutions

1. Custom Container

One potential solution is to use a custom container to set up the application's health status. This can be achieved by creating a custom container that runs a script to check the application's health status and updates the workflow accordingly.

2. Argo CD API

Another potential solution is to use the Argo CD API to check the application's health status. This can be achieved by making an API call to the Argo CD server to retrieve the application's health status and update the workflow accordingly.

3. Workflow Retry

A third potential solution is to implement workflow retry logic. This can be achieved by adding a retry mechanism to the workflow that retries the application deployment if it fails.

Conclusion

In conclusion, generating Argo CD applications using Argo Workflows can be challenging due to the limitations of the Resource template type. However, by implementing custom logic or using the Argo CD API, users can overcome these limitations and successfully generate Argo CD applications using Argo Workflows.

Additional Information

Checklist

  • I've searched in the docs and FAQ for my answer: [x]
  • I've included steps to reproduce the bug: [x]
  • I've pasted the output of argocd version: [x]

Introduction

Argo Workflows and Argo CD are two powerful tools in the Kubernetes ecosystem, designed to simplify the process of deploying and managing applications. However, with the complexity of these tools comes a multitude of questions and concerns. In this article, we will address some of the most frequently asked questions about Argo Workflows and Argo CD.

Q&A

Q: What is Argo Workflows?

A: Argo Workflows is an open-source workflow engine that allows users to define and execute complex workflows on Kubernetes. It provides a simple and intuitive way to automate tasks and deploy applications.

Q: What is Argo CD?

A: Argo CD is an open-source continuous delivery tool that automates the deployment of applications to Kubernetes. It provides a simple and intuitive way to manage and deploy applications across multiple environments.

Q: How do I use Argo Workflows to generate Argo CD applications?

A: To use Argo Workflows to generate Argo CD applications, you can use the Resource template type and specify the Argo CD application manifest as the Manifest field. You can then use the SuccessCondition and FailureCondition fields to specify the conditions under which the workflow should succeed or fail.

Q: What are the limitations of the Resource template type?

A: The Resource template type has several limitations, including the fact that it does not account for the application's prior state. This can result in a failed workflow even if the application is now in a healthy state.

Q: How can I overcome the limitations of the Resource template type?

A: You can overcome the limitations of the Resource template type by implementing custom logic or using the Argo CD API to check the application's health status.

Q: What is the difference between Argo Workflows and Argo CD?

A: Argo Workflows is a workflow engine that allows users to define and execute complex workflows on Kubernetes, while Argo CD is a continuous delivery tool that automates the deployment of applications to Kubernetes.

Q: How do I troubleshoot issues with Argo Workflows and Argo CD?

A: To troubleshoot issues with Argo Workflows and Argo CD, you can use the following steps:

  1. Check the logs for errors and warnings.
  2. Verify that the workflow or application is properly configured.
  3. Use the Argo Workflows and Argo CD APIs to retrieve information about the workflow or application.
  4. Consult the documentation and community resources for help.

Q: What are some best practices for using Argo Workflows and Argo CD?

A: Some best practices for using Argo Workflows and Argo CD include:

  1. Use the Resource template type to generate Argo CD applications.
  2. Implement custom logic to check the application's health status.
  3. Use the Argo CD API to retrieve information about the application.
  4. Verify that the workflow or application is properly configured.
  5. Use the logs and APIs to troubleshoot issues.

Conclusion

In conclusion, Argo Workflows and Argo CD are powerful tools that can simplify the process of deploying and managing applications on Kubernetes. However, with the complexity of these tools comes a multitude of questions and concerns. By the answers to these frequently asked questions, users can better utilize these tools and overcome common challenges.

Additional Information