We are welcoming contributors, as announced in the Kubernetes WG Batch
https://docs.google.com/document/d/1XOeUN-K0aKmJJNq7H07r74n-mGgSFyiEDQ3ecwsGhec/edit#bookmark=id.gfgjt0nmbgjl
If you are interested, you can find us in slack.k8s.io #wg-batch or
ping @mwielgus on github/slack.
Thanks
On 2023/
I'm not running on GKE. I am wondering what's the long term strategy around
a Spark operator. Operators are the de-facto way to run complex
deployments. The Flink community now has an official community led
operator, and I was wondering if there are any similar plans for Spark.
On Fri, Apr 14, 202
Hi,
What exactly are you trying to achieve? Spark on GKE works fine and you can
run Datapoc now on GKE
https://www.linkedin.com/pulse/running-google-dataproc-kubernetes-engine-gke-spark-mich/?trackingId=lz12GC5dRFasLiaJm5qDSw%3D%3D
Unless I misunderstood your point.
HTH
Mich Talebzadeh,
Lead S
Hi,
ATM I see the most used option for a Spark operator is the one provided by
Google: https://github.com/GoogleCloudPlatform/spark-on-k8s-operator
Unfortunately, it doesn't seem actively maintained. Are there any plans to
support an official Apache Spark community driven operator?
