Hello,

The issue of connection configuration for individual providers has not
been standardized in any way by the Kubernetes community. I'm afraid
we won't create a new solution. Some groups are trying to create their
solution[1][2], but for now it is a mess.[3] Google employees use
gcloud to obtain cluster credentials.[2]

I am not sure if we want to create generic operators because they can
be very difficult to use in practice. The operator who will be
designed for a specific purpose will be easier to use and will work
better because we can improve it. Very generic solutions are very
difficult to improve and refactor.

Best regards,
Kamil

[1] 
https://github.com/kubernetes/community/blob/master/contributors/design-proposals/auth/kubectl-exec-plugins.md
[2] 
https://github.com/kubernetes-client/python-base/blob/a2d1024524de78b62e5f9aa72d34cb9ea9de2b97/config/exec_provider.py
[3] 
https://github.com/kubernetes-client/python-base/blob/a2d1024524de78b62e5f9aa72d34cb9ea9de2b97/config/kube_config.py#L219-L224
[4] 
https://github.com/apache/airflow/pull/3532/files#diff-3cfc2b387652665d77ae50581081560eR266-R270

On Sat, Jan 25, 2020 at 7:51 PM Roi Teveth <[email protected]> wrote:
>
> hi all,
> I'm working at my company on: spark on Kubernetes POC during the work I've
> built an operator for spark on Kubernetes and trying to contribute it to
> airflow(https://github.com/apache/airflow/pull/7163) in the process I
> started thinking about:
> 1. building hooks for managed Kubernetes engines on Amazon, GCP and
> others(EKS, GKE...) using their own connection, for example, using AWS
> connection to get kubeconfig then Kubernetes API client.
> 2. building more generalized Kubernetes operators: alongside
> sparkK8sOperator that send SparkApplication CRD to Kubernetes cluster, I
> can build kubernetesCrdOperator that will create any kind of CRD. and
> sensor that will be given which field in the CRD to check and the fail or
> success keywords. with the same principle, I can build
> kubernetesJobOperator that will create and sense Kubernetes Job(although
> it's very close to what Kubernetes Pod operator does)
>
> can you share your thoughts about it? and if it will be useful for Airflow
> Thank you
> Roi Teveth

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