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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 AWS Console and type "app runner" in the search bar

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Step 3. Create a new service

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Step 4. Select source code repository and link your repository

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Step 5. Set deployment to automatic

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Step 6. Select "Use a configuration file" (apprunner.yaml is already in the repository)

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Step 7. Choose a name for your service and deploy it. Default settings like 1 CPU and 2 GB RAM are enough.

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Voilà! Access the URL.

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Going further

Modifying the code

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

Using a custom domain

Step 1. If you want to use a custom domain (like hello.com), just click "Link domain".

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Step 2. If you are using Route 53, then AWS should create the record for you. You don't need to do this step but you might need to delete the records manually when you remove the service.

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Voilà!

Cleaning up

Don't forget to delete your service when you are no longer using it. You can always redeploy later.

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 AWS Console and type "RDS" in the search bar

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Storage bucket writing/reading

Go to the AWS Console and type "S3" 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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