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Explore different providers

This course is available for multiple cloud providers. Choose your preferred platform:

• Hello Google Cloud
• Hello Microsoft Azure
• Hello Amazon Web Services (⭐ Most popular)
• Hello Oracle Cloud (Coming Soon)

Note: Entries marked with "Coming Soon" are planned versions that are currently under development.

Instructions

Step 1. Fork (or make a copy of) this repository

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Step 2. Go to the Google Cloud Console and type "Cloud Run" in the search bar

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Step 3. Go to Deploy Container -> Service

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Step 4. Select "Continuously deploy from a repository (source or function)" then "Set up with Cloud Build"

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Step 5. Select the git repository

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Step 6. Select the "Google Cloud's buildpacks" option. Leave all the parameters empty: Cloud Run will figure out on its own that you are using Python.

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Step 7. Select the region (europe-west2 in this case), allow unauthenticated invocations, allow internet traffic, then press Create

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Voilà! Access the URL.

Going further

Modifying the code

You can commit some changes to your repository and watch how the service is updated automatically.

Cleaning up

Don't forget to delete the service when you are done.

Adding an API endpoint

Add the following code in app.py

@app.route("/hello_api")
def hello_api():
    return {
		"name": "Wrinkle Five Star",
		"species": "Duck",
		"breed": "American Pekin",
		"hatching_date": "2020-09-09",
		"sex": "Male"
    }

Then test your endpoint

User interface

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Database writing/reading

Go to the Google Cloud Console and type "SQL" in the search bar

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Storage bucket writing/reading

Go to the Google Cloud Console and type "buckets" in the search bar

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Local testing

After a while, it's not fun anymore to wait for deployment. You want to test your changes before.

Step 1. Install git and clone the repository on your local machine

	git clone {repository_link}

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Step 2. Install Python

https://www.python.org/downloads/

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Step 3. Install dependencies

	 py -m pip install flask

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Step 4. Run flask

	 py -m flask run

Open localhost:5000 in your browser.

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Running a job on a separate machine

This web server is not powerful enough to handle sophisticated tasks. What if GPUs are needed for a heavy workflow? Then you need the ability to create machines dynamically and control them remotely (Infrastructure as Code).

Install dependencies

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