serverless-R-API-appengine | R API using Plumber onto App Engine and using Cloud | REST library
kandi X-RAY | serverless-R-API-appengine Summary
kandi X-RAY | serverless-R-API-appengine Summary
Creating a serverless R API on Google Cloud Platform.
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QUESTION
I want to server R model using App Engine. I am following this example R with app engine, but stuck. I tried several methods but still have issues. Any guidance on this issue?
Please refer to my code app.yaml
...ANSWER
Answered 2019-Sep-04 at 07:09Office network issue
In my case the real issue was, my office network blocked port 8080, so when I connected from home or in office over mobile hotspot, it worked.
In general follow below steps to resolve the issue.
1) search google 'my public IP address"
2) Add your IP in firewall rules will resolve the issue.
either use gcloud commands
https://cloud.google.com/sdk/gcloud/reference/app/firewall-rules/create or
using GCP UI ( you can use any priority number which has not been used already)
QUESTION
What am doing?
I am trying to deploy a R model on Google App Engine Flex with docker container. My final objective is to serve model as API. I am getting errors when deploying app using plumber and docker container.
R code with plumber runs fine on my local computer using RStudio. But now I am using AI platform jupyter notebooks with R. I tested the docker locally using Docker Run image-name command and I get below message once Docker run.
...ANSWER
Answered 2019-Aug-30 at 12:51From the Google Cloud Doku it seems like in order for your Apllication to pass it needs to return the http status code 200 (see https://cloud.google.com/appengine/docs/flexible/custom-runtimes/configuring-your-app-with-app-yaml#updated_health_checks).
But your Application returns the http status code 404 on the path you have defined for redincess check, since it doesn't exist.
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