+1 (non-binding)

This is something really great to have. More schedulers and runtime
environments are a HUGE win for the Spark ecosystem.
Amazing work, Big kudos for the guys who created and continue working on this.

On Wed, Aug 16, 2017 at 2:07 AM, lucas.g...@gmail.com
<lucas.g...@gmail.com> wrote:
> From our perspective, we have invested heavily in Kubernetes as our cluster
> manager of choice.
>
> We also make quite heavy use of spark.  We've been experimenting with using
> these builds (2.1 with pyspark enabled) quite heavily.  Given that we've
> already 'paid the price' to operate Kubernetes in AWS it seems rational to
> move our jobs over to spark on k8s.  Having this project merged into the
> master will significantly ease keeping our Data Munging toolchain primarily
> on Spark.
>
>
> Gary Lucas
> Data Ops Team Lead
> Unbounce
>
> On 15 August 2017 at 15:52, Andrew Ash <and...@andrewash.com> wrote:
>>
>> +1 (non-binding)
>>
>> We're moving large amounts of infrastructure from a combination of open
>> source and homegrown cluster management systems to unify on Kubernetes and
>> want to bring Spark workloads along with us.
>>
>> On Tue, Aug 15, 2017 at 2:29 PM, liyinan926 <liyinan...@gmail.com> wrote:
>>>
>>> +1 (non-binding)
>>>
>>>
>>>
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>>
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