This is a cache of https://docs.openshift.com/container-platform/4.9/serverless/functions/serverless-functions-annotations.html. It is a snapshot of the page at 2024-11-27T19:53:07.555+0000.
Adding annotations to functions - Functions | Serverless | OpenShift Container Platform 4.9
×

You can add Kubernetes annotations to a deployed Serverless function. Annotations enable you to attach arbitrary metadata to a function, for example, a note about the function’s purpose. Annotations are added to the annotations section of the func.yaml configuration file.

There are two limitations of the function annotation feature:

  • After a function annotation propagates to the corresponding Knative service on the cluster, it cannot be removed from the service by deleting it from the func.yaml file. You must remove the annotation from the Knative service by modifying the YAML file of the service directly, or by using the OpenShift Container Platform web console.

  • You cannot set annotations that are set by Knative, for example, the autoscaling annotations.

Adding annotations to a function

You can add annotations to a function. Similar to a label, an annotation is defined as a key-value map. Annotations are useful, for example, for providing metadata about a function, such as the function’s author.

Prerequisites
  • The OpenShift Serverless Operator and Knative Serving are installed on the cluster.

  • You have installed the Knative (kn) CLI.

  • You have created a function.

Procedure
  1. Open the func.yaml file for your function.

  2. For every annotation that you want to add, add the following YAML to the annotations section:

    name: test
    namespace: ""
    runtime: go
    ...
    annotations:
      <annotation_name>: "<annotation_value>" (1)
    1 Substitute <annotation_name>: "<annotation_value>" with your annotation.

    For example, to indicate that a function was authored by Alice, you might include the following annotation:

    name: test
    namespace: ""
    runtime: go
    ...
    annotations:
      author: "alice@example.com"
  3. Save the configuration.

The next time you deploy your function to the cluster, the annotations are added to the corresponding Knative service.