Right, normally people start with simple script, then add more stuff, like
permission and more components. After some time, people want to run the
script consistently in different environments. Things will become complex.

That is why we want to see whether people have interest for such a "one
click" tool to make things easy.


On Tue, Feb 22, 2022 at 11:31 PM Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:

> Hi,
>
> There are two distinct actions here; namely Deploy and Run.
>
> Deployment can be done by command line script with autoscaling. In the
> newer versions of Kubernnetes you don't even need to specify the node
> types, you can leave it to the Kubernetes cluster  to scale up and down and
> decide on node type.
>
> The second point is the running spark that you will need to submit.
> However, that depends on setting up access permission, use of service
> accounts, pulling the correct dockerfiles for the driver and the executors.
> Those details add to the complexity.
>
> Thanks
>
>
>
>    view my Linkedin profile
> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>
>
>  https://en.everybodywiki.com/Mich_Talebzadeh
>
>
>
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>
> On Wed, 23 Feb 2022 at 04:06, bo yang <bobyan...@gmail.com> wrote:
>
>> Hi Spark Community,
>>
>> We built an open source tool to deploy and run Spark on Kubernetes with a
>> one click command. For example, on AWS, it could automatically create an
>> EKS cluster, node group, NGINX ingress, and Spark Operator. Then you will
>> be able to use curl or a CLI tool to submit Spark application. After the
>> deployment, you could also install Uber Remote Shuffle Service to enable
>> Dynamic Allocation on Kuberentes.
>>
>> Anyone interested in using or working together on such a tool?
>>
>> Thanks,
>> Bo
>>
>>

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