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Move managed cluster support (GKE) to general availability #1168

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salasberryfin opened this issue Mar 7, 2024 · 1 comment
Open

Move managed cluster support (GKE) to general availability #1168

salasberryfin opened this issue Mar 7, 2024 · 1 comment
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kind/feature Categorizes issue or PR as related to a new feature.

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@salasberryfin
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/kind feature

Describe the solution you'd like

As of today, support for provisioning GKE clusters is still an experimental feature and has been for a number of months.

In recent community meetings we discussed the viability of moving GKE support out of the experimental folder and into general availability. This would allow CAPG to follow other providers, such as CAPA and CAPZ which have full support for their corresponding managed clusters: CAPA, CAPZ.

The promotion of GKE to stable could be a major step towards a more feature rich and stable CAPG, and we could push to add support for existing GKE functionalities that are still not covered by the provider (there are a few related PRs).

Since this is an important change, we thought it would be great to create this issue where we can discuss pros/cons and plan what needs to be done if we decide to go ahead.

Initially, this seems to be a non-breaking change for the API, since it means adding types but not modifying existing ones, but it would be great to have feedback from those that are more knowledgeable of the codebase.

Anything else you would like to add:

As a follow up to this, ClusterClass support for managed clusters would be one of the relevant features we could be adding, as non-managed GCP clusters can already be provisioned from a class (refer to this) and this is expected to become a powerful/distinctive functionality of CAPI.

Please, feel free to share your thoughts on this.

I will be more than happy to take on/lead this if we decide to go ahead with the change.

@k8s-ci-robot k8s-ci-robot added the kind/feature Categorizes issue or PR as related to a new feature. label Mar 7, 2024
@damdo
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damdo commented Apr 4, 2024

@salasberryfin is looking for some feedback on this one from core maintainers
/assign @richardcase @cpanato

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