Skip to content

Example of a Streaming ML deployment using Google Cloud Platform

Notifications You must be signed in to change notification settings

Qfl3x/gcp-flask-streaming

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Aug 4, 2022
cbf49e0 · Aug 4, 2022

History

64 Commits
Aug 4, 2022
Aug 3, 2022
Jul 31, 2022
Jul 31, 2022
Jul 31, 2022
Aug 3, 2022
Jul 31, 2022
Aug 3, 2022
Aug 3, 2022
Aug 2, 2022
Aug 2, 2022
Aug 2, 2022
Jul 31, 2022
Aug 3, 2022

Repository files navigation

Example of a Backend Flask server calling a Google Cloud Function through a Google PubSub Stream

web-service: contains the web-service that will call the GC function

function: contains the function itself

function/infrastructure: Terraform infrastructure for initiating everything

Note: To run Pytest, make sure that the test bucket (taxi-streaming-model in this case) is up and contains the necessary files. Also make sure that the env variable MODEL_BUCKET corresponds to said bucket..

About

Example of a Streaming ML deployment using Google Cloud Platform

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published