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deploy python applications google cloud run with docker

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deploying python applications to google cloud run using docker is a straightforward process. in this tutorial, i will guide you through the steps needed to containerize a simple python application, create a docker image, and deploy it to google cloud run.
prerequisites
1. **google cloud account**: you need a google cloud account. if you don't have one, you can sign up for a free tier.
step 1: create a simple python application
let's create a simple python web application using flask. here’s the structure of our application:
```
my-python-app/
│
```
```python
from flask import flask
app = flask(__name__)
def hello():
return "hello, world!"
if __name__ == '__main__':
```
```
flask==2.0.2
```
step 2: create a dockerfile
next, create a dockerfile to containerize the application. the dockerfile will specify the base image and the commands to run the application.
**dockerfile**:
```dockerfile
use the official python image from the docker hub
from python:3.9-slim
set the working directory in the container
workdir /app
copy the requirements file and install the dependencies
copy the application code into the container
expose the port the app runs on
expose 8080
command to run the application
```
step 3: build the docker image
now that we have our dockerfile, we can build the docker image.
navigate to the directory of your application and run the following command to build the docker image:
```bash
docker build -t my-python-app .
```
step 4: test the docker ...
#Python #GoogleCloudRun #windows
Deploy Python applications
Google Cloud Run
Docker
containerization
serverless architecture
cloud deployment
microservices
scalable applications
CI/CD
GCP
application management
Docker images
API deployment
cloud-native applications
automated scaling
prerequisites
1. **google cloud account**: you need a google cloud account. if you don't have one, you can sign up for a free tier.
step 1: create a simple python application
let's create a simple python web application using flask. here’s the structure of our application:
```
my-python-app/
│
```
```python
from flask import flask
app = flask(__name__)
def hello():
return "hello, world!"
if __name__ == '__main__':
```
```
flask==2.0.2
```
step 2: create a dockerfile
next, create a dockerfile to containerize the application. the dockerfile will specify the base image and the commands to run the application.
**dockerfile**:
```dockerfile
use the official python image from the docker hub
from python:3.9-slim
set the working directory in the container
workdir /app
copy the requirements file and install the dependencies
copy the application code into the container
expose the port the app runs on
expose 8080
command to run the application
```
step 3: build the docker image
now that we have our dockerfile, we can build the docker image.
navigate to the directory of your application and run the following command to build the docker image:
```bash
docker build -t my-python-app .
```
step 4: test the docker ...
#Python #GoogleCloudRun #windows
Deploy Python applications
Google Cloud Run
Docker
containerization
serverless architecture
cloud deployment
microservices
scalable applications
CI/CD
GCP
application management
Docker images
API deployment
cloud-native applications
automated scaling