Argo: Difficulty finding documentation about policies

Created on 16 Feb 2018  路  4Comments  路  Source: argoproj/argo

Is this a BUG REPORT or FEATURE REQUEST?: BUG

What happened:

It seems that Argo supports policies to automate when a workflow get triggered. But I am having trouble finding the documentation. I found this page: https://applatix.com/open-source/argo/docs/yaml/ex_create_policy_4_workflow.html, but the links are broken.

Clicking "Viewing, Enabling and Disabling Policies" leads back to the main page of the website.

Clicking "Using Policies to Trigger a Notification Message" leads to a 404.

Apologies if this is not the right forum for issues related to the Argo website.

Thanks!

Most helpful comment

Hi Alexender,

There would be two use cases:

  • A user would like to run an ML pipeline on a schedule (say once per hour).
  • A user would like to run an ML pipeline every time a Publish/Subscribe event was sent to a Webhook server).

Thanks!

All 4 comments

Policies are supported by Argo V1.x . Argo V2.x is only workflow engine and does not have policies. Documentation had been updated, but looks like you are seeing cached version. We have bug open to solve caching issue: https://github.com/argoproj/argo/issues/713

Hi Alexander,

Do you have a recommendation about what are the best tools to use to achieve the same functionality as policies in Argo V2.X?

Thanks!

Hello @vicaire ,

The closest tool we have is https://github.com/argoproj/argo-ci . Argo CI provides integration with Github and allows to trigger workflow on every push/PR . Right now Argo CI implements bare minimum which allows us to run Argo tests. We are definitely planning to keep developing Argo CI, but don't have the exact timeline yet.

Can you please describe your use case? Is it CI/CD or something else?

Thanks,
Alex

Hi Alexender,

There would be two use cases:

  • A user would like to run an ML pipeline on a schedule (say once per hour).
  • A user would like to run an ML pipeline every time a Publish/Subscribe event was sent to a Webhook server).

Thanks!

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