Hi Jenna, Today at Dreamforce (the Salesforce conference) we're presenting this PredictionIO Heroku buildpack in a developer session called "Exploring Machine Learning on Heroku":
https://github.com/heroku/predictionio-buildpack <https://github.com/heroku/predictionio-buildpack> The README is a tailored guide to getting an attribute-based classifier running. To use the buildpack for engines of your own choosing, follow the more generalized (and more complex) CUSTOM docs: https://github.com/heroku/predictionio-buildpack/blob/master/CUSTOM.md <https://github.com/heroku/predictionio-buildpack/blob/master/CUSTOM.md> If you decide to try it out, please post Github issues with questions, problems, or feedback! *Mars Hall Customer Facing Architect Salesforce App Cloud / Heroku San Francisco, California On Tue, Oct 4, 2016 at 05:34 Sunny <[email protected] <mailto:[email protected]>> wrote: Hello Jenna, Deployment in local is fine if you are running lightweight jobs and using it just for hands-on and learning purpose, no need to bear extra cost of the additional computing power of cloud services. In case you are into heavy weight research work or running a production system and wants it to be accessible from around the globe, private or hybrid or using available cloud services like AWS is must. -- Tapo On Tue, 4 Oct 2016 at 06:23 Jenna Kwon <[email protected] <mailto:[email protected]>> wrote: Dear Mr. Szeto, Thank you so much for your reply. I saw some posts demonstrating deployment of event server & engine via Heroku. I also saw that there used to be deployment through AWS. In what case would I want to do that instead of keeping them local? Best Regards, Jenna Kwon On Mon, Oct 3, 2016 at 5:45 PM, Donald Szeto <[email protected] <mailto:[email protected]>> wrote: Hi Jenna, You probably want to have a reverse proxy in front of your app (localhost:3000) so that it is exposed to the Internet via standard ports (80 for HTTP or 443 for HTTPS). Your app can communicate to the event server and engine over localhost. They don't need to be exposed to the Internet. Your app should be using one of PredictionIO SDKs to interact with the event server and engine. Regards, Donald On Sun, Oct 2, 2016 at 3:07 PM, Jenna Kwon <[email protected] <mailto:[email protected]>> wrote: Hello! I am a beginner so please excuse me if my question is rudimentary. I've followed a demo for Tapster Comics Recommendation (http://predictionio.incubator.apache.org/demo/tapster/ <http://predictionio.incubator.apache.org/demo/tapster/>) and have a good understanding of deploying the engine, app and event server on localhost. My app ran on localhost:3000, engine ran on localhost:8000, and eventserver ran on localhost:7000. I would like to now deploy these on a web server. The "app" would be a specific website. How would I hook up and deploy eventserver and predictionIO engine to gather information from that specific website? Would it just be a matter of changing environmental variables in pio-env.sh (in predictionIO installation directory) as well as those in app's directory? For example, would I substitute "localhost" with a web server? Thank you! Best Regards, Jenna Kwon -- Jenna Kwon B.S. Computer Science '17| Georgia Institute of Technology Denning Technology and Management Scholar GT Tennis Club | GT Trailblazers www.jennakwon.com <http://www.jennakwon.com/> (541)908-2963 <tel:%28541%29908-2963> -- Jenna Kwon B.S. Computer Science '17| Georgia Institute of Technology Denning Technology and Management Scholar GT Tennis Club | GT Trailblazers www.jennakwon.com <http://www.jennakwon.com/> (541)908-2963
