-
Notifications
You must be signed in to change notification settings - Fork 146
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
docs: provide instructions on how to pre-load tf providers in a custom runn… #1490
base: main
Are you sure you want to change the base?
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thank you for sharing this with the community @thejosephstevens !
Only updated the tags with the latest release tag.
runner: | ||
image: | ||
repository: ghcr.io/my-org/custom-runnner | ||
tag: v0.16.0-rc.3 |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
tag: v0.16.0-rc.3 | |
tag: v0.16.0-rc.5 |
kubectl get deployments.apps -n flux-system tf-controller -o jsonpath='{.spec.template.spec.containers[*]}' | jq '.env[] | select(.name == "RUNNER_POD_IMAGE")' | ||
{ | ||
"name": "RUNNER_POD_IMAGE", | ||
"value": "ghcr.io/my-org/custom-runner:v0.16.0-rc3" |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
"value": "ghcr.io/my-org/custom-runner:v0.16.0-rc3" | |
"value": "ghcr.io/my-org/custom-runner:v0.16.0-rc5" |
|
||
```bash | ||
export BASE_IMAGE=ghcr.io/flux-iac/tf-runner | ||
export BASE_TAG=v0.16.0-rc.4 |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
export BASE_TAG=v0.16.0-rc.4 | |
export BASE_TAG=v0.16.0-rc.5 |
…er image
Following up on my comments here, this PR provides documentation on how to cache TF providers in a custom tf-runner image.