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Posted to user@predictionio.apache.org by Shane Johnson <sh...@liftiq.com> on 2018/12/01 01:03:55 UTC
Multiple Engines on same Server leveraging same EventStore?
Hi team. We are experimenting with using the same code base but querying
different events from the same event store. Has anyone trained and deployed
two different models leveraging the same event store and thus creating two
different endpoints for predictions on the same linux box.
Perhaps this is not aligned with the current architecture. What we are
trying to avoid is setting up a whole new set of infrastructure for a
different model that is using the same events.
Can someone remind me the purpose for setting up and defining different
Apps? Perhaps we can accomplish what we are trying to do with setting up
different apps.
Any ideas and experience are greatly appreciated.
*Shane Johnson | LIFT IQ*
*Founder | CEO*
*www.liftiq.com <http://www.liftiq.com/>* or *shane@liftiq.com
<sh...@liftiq.com>*
mobile: (801) 360-3350
LinkedIn <https://www.linkedin.com/in/shanewjohnson/> | Twitter
<https://twitter.com/SWaldenJ> | Facebook
<https://www.facebook.com/shane.johnson.71653>
Re: Multiple Engines on same Server leveraging same EventStore?
Posted by Shane Johnson <sh...@liftiq.com>.
Thanks Pat, this is very helpful. I am experimenting with this now. I am
using the LeadScoring template. I'll let you know if I get stuck on
anything as I am developing.
Best,
*Shane Johnson | LIFT IQ*
*Founder | CEO*
*www.liftiq.com <http://www.liftiq.com/>* or *shane@liftiq.com
<sh...@liftiq.com>*
mobile: (801) 360-3350
LinkedIn <https://www.linkedin.com/in/shanewjohnson/> | Twitter
<https://twitter.com/SWaldenJ> | Facebook
<https://www.facebook.com/shane.johnson.71653>
On Sat, Dec 1, 2018 at 10:56 AM Pat Ferrel <pa...@occamsmachete.com> wrote:
> IMO Multi-tenancy is a big missing feature in PIO. It is doable but
> clumsy. To share a dataset is easy by using the same “appname” in your
> template to draw data from. To create more than one PredictionServer is
> also possible as 2 or more servers on different ports—see the `pio deploy`
> command params for this. This will give you 3 servers, one for the
> EventsStore, which IS multi-tenant, and 2 for PredictionServers. There will
> be 3 endpoints on the same “machine”.
>
> “app”s are really datasets in PIO and the EventServer can host several
> IDed by the appname and key generated for access. It sounds like you want
> only one dataset. PredictionServers manage one model per server and so an
> not multi-tenant but you can have more than one.
>
> BTW what template Engine are you using?
>
>
> From: Shane Johnson <sh...@liftiq.com> <sh...@liftiq.com>
> Reply: user@predictionio.apache.org <us...@predictionio.apache.org>
> <us...@predictionio.apache.org>
> Date: November 30, 2018 at 5:03:55 PM
> To: user@predictionio.apache.org <us...@predictionio.apache.org>
> <us...@predictionio.apache.org>
> Subject: Multiple Engines on same Server leveraging same EventStore?
>
> Hi team. We are experimenting with using the same code base but querying
> different events from the same event store. Has anyone trained and deployed
> two different models leveraging the same event store and thus creating two
> different endpoints for predictions on the same linux box.
>
> Perhaps this is not aligned with the current architecture. What we are
> trying to avoid is setting up a whole new set of infrastructure for a
> different model that is using the same events.
>
> Can someone remind me the purpose for setting up and defining different
> Apps? Perhaps we can accomplish what we are trying to do with setting up
> different apps.
>
> Any ideas and experience are greatly appreciated.
>
> *Shane Johnson | LIFT IQ*
> *Founder | CEO*
>
> *www.liftiq.com <http://www.liftiq.com/>* or *shane@liftiq.com
> <sh...@liftiq.com>*
> mobile: (801) 360-3350
> LinkedIn <https://www.linkedin.com/in/shanewjohnson/> | Twitter
> <https://twitter.com/SWaldenJ> | Facebook
> <https://www.facebook.com/shane.johnson.71653>
>
>
>
Re: Multiple Engines on same Server leveraging same EventStore?
Posted by Pat Ferrel <pa...@occamsmachete.com>.
IMO Multi-tenancy is a big missing feature in PIO. It is doable but clumsy.
To share a dataset is easy by using the same “appname” in your template to
draw data from. To create more than one PredictionServer is also possible
as 2 or more servers on different ports—see the `pio deploy` command params
for this. This will give you 3 servers, one for the EventsStore, which IS
multi-tenant, and 2 for PredictionServers. There will be 3 endpoints on the
same “machine”.
“app”s are really datasets in PIO and the EventServer can host several IDed
by the appname and key generated for access. It sounds like you want only
one dataset. PredictionServers manage one model per server and so an not
multi-tenant but you can have more than one.
BTW what template Engine are you using?
From: Shane Johnson <sh...@liftiq.com> <sh...@liftiq.com>
Reply: user@predictionio.apache.org <us...@predictionio.apache.org>
<us...@predictionio.apache.org>
Date: November 30, 2018 at 5:03:55 PM
To: user@predictionio.apache.org <us...@predictionio.apache.org>
<us...@predictionio.apache.org>
Subject: Multiple Engines on same Server leveraging same EventStore?
Hi team. We are experimenting with using the same code base but querying
different events from the same event store. Has anyone trained and deployed
two different models leveraging the same event store and thus creating two
different endpoints for predictions on the same linux box.
Perhaps this is not aligned with the current architecture. What we are
trying to avoid is setting up a whole new set of infrastructure for a
different model that is using the same events.
Can someone remind me the purpose for setting up and defining different
Apps? Perhaps we can accomplish what we are trying to do with setting up
different apps.
Any ideas and experience are greatly appreciated.
*Shane Johnson | LIFT IQ*
*Founder | CEO*
*www.liftiq.com <http://www.liftiq.com/>* or *shane@liftiq.com
<sh...@liftiq.com>*
mobile: (801) 360-3350
LinkedIn <https://www.linkedin.com/in/shanewjohnson/> | Twitter
<https://twitter.com/SWaldenJ> | Facebook
<https://www.facebook.com/shane.johnson.71653>