This repo contains my daily activity of using google cloud platform.
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Credential
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- Readme (how to create service account and get credential json, how to execute credential json)
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Setup
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- Readme : How to setup gcloud in your local computer
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GKE
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- Readme (service account requirements, deployment instruction)
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- GKE example
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App-engine
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- Readme (service account requirements, deployment instruction)
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- Appengine pure python example
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- App engine with non python dependency pypi (opencv) example
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- App engine with docker example (ERROR)
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Auto-ML
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- How to request automl model via cloud-fuction
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Cloud-fucntion
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- How to request ML-engine via cloud-fucntion
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- Read .csv/.pkl from gcs
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Dataflow
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- Dataflow example : gcs -> pubsub -> dataflow -> gcs
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- README (dataflow description, how to deploy)
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ML-engine
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- Readme
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Pubsub
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- python publish message example
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- python subscribe (pull) message example
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Storage
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- Python create bucket
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- Python put local file in a bucket
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- Python save opencv image in gcs
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- Example project (pubsub_notif): Triggering pubsub when a file added in a bucket
No | Error | scope | Solution |
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1 | Internal error ecountered | request to ml engine from python, cloud function or app engine | Delete your model in ml engine, recreate it |