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Some notes about google cloud products (ML-engine, app-engine, etc)

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Google-Cloud-Note

This repo contains my daily activity of using google cloud platform.

Content List

  • Credential

    1. Readme (how to create service account and get credential json, how to execute credential json)
  • Setup

    1. Readme : How to setup gcloud in your local computer
  • GKE

    1. Readme (service account requirements, deployment instruction)
    1. GKE example
  • App-engine

    1. Readme (service account requirements, deployment instruction)
    1. Appengine pure python example
    1. App engine with non python dependency pypi (opencv) example
    1. App engine with docker example (ERROR)
  • Auto-ML

    1. How to request automl model via cloud-fuction
  • Cloud-fucntion

    1. How to request ML-engine via cloud-fucntion
    1. Read .csv/.pkl from gcs
  • Dataflow

    1. Dataflow example : gcs -> pubsub -> dataflow -> gcs
    1. README (dataflow description, how to deploy)
  • ML-engine

    1. Readme
  • Pubsub

    1. python publish message example
    1. python subscribe (pull) message example
  • Storage

    1. Python create bucket
    1. Python put local file in a bucket
    1. Python save opencv image in gcs
    1. Example project (pubsub_notif): Triggering pubsub when a file added in a bucket

Error Notes

No Error scope Solution
1 Internal error ecountered request to ml engine from python, cloud function or app engine Delete your model in ml engine, recreate it

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Some notes about google cloud products (ML-engine, app-engine, etc)

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