Deploying python flask app on google compute engine

deploying a python flask application on google compute engine (gce) involves several steps, including setting up a gce instance, configuring the environment, and deploying your application. below is an informative tutorial that will guide you through the process step-by-step.

### step 1: set up google cloud platform

2. **create a new project**: once logged in, create a new project in the google cloud console.
3. **enable billing**: ensure billing is enabled for your project.

### step 2: create a google compute engine instance

1. **navigate to compute engine**: in the google cloud console, go to the "compute engine" section.
2. **create a new instance**:
- click on "create instance".
- choose a machine type (e.g., `e2-micro` for free tier eligible).
- select a region and zone.
- choose an operating system (e.g., ubuntu).
- make sure to allow http and https traffic in the "firewall" section.
- click on "create".

### step 3: connect to your instance

1. **ssh into your instance**: use the ssh button in the console to connect to your instance.
2. **update the package list**:


### step 4: install required software

1. **install python and pip**:


2. **install flask**:


### step 5: prepare your flask application

1. **create a directory for your app**:


2. **create a virtual environment**:


3. **create a simple flask app**:


4. **install flask in the virtual environment**:


### step 6: run your flask application

1. **run the flask app**:


2. **access your application**:

### step 7: making your flask app production-ready

1. **install gunicorn**:
for production, you should use a wsgi server like gunicorn.


2. **run the app with gunicorn**:


### step ...

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