https://github.com/fatchur/google-cloud-note

Some notes about google cloud products (ML-engine, app-engine, etc)
https://github.com/fatchur/google-cloud-note

Last synced: 10 months ago
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Some notes about google cloud products (ML-engine, app-engine, etc)

• Host: GitHub
• URL: https://github.com/fatchur/google-cloud-note
• Owner: fatchur
• Created: 2019-01-10T07:03:16.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-03-08T06:46:35.000Z (about 5 years ago)
• Last Synced: 2025-06-17T03:43:41.220Z (12 months ago)
• Language: CSS
• Homepage:
• Size: 2.06 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 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)

- 2. GKE example

- **App-engine**

- 1. Readme (service account requirements, deployment instruction)

- 2. Appengine pure python example

- 3. App engine with non python dependency pypi (opencv) example 

- 4. 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

- 2. Read .csv/.pkl from gcs

- **Dataflow**

- 1. Dataflow example : gcs -> pubsub -> dataflow -> gcs

- 2. README (dataflow description, how to deploy)

- **ML-engine**

- 1. Readme 

- **Pubsub**

- 1. python publish message example

- 2. python subscribe (pull) message example

- **Storage**

- 1. Python create bucket

- 2. Python put local file in a bucket

- 3. Python save opencv image in gcs

- 4. 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  |