How to Deploy Your First Application on Google Cloud Run

Are you ready to take your application to the next level? Do you want to deploy it on a platform that is fast, scalable, and easy to use? Look no further than Google Cloud Run!

Google Cloud Run is a fully managed serverless platform that allows you to deploy and run your applications in containers. With Cloud Run, you can focus on writing code and let Google take care of the rest. In this article, we will walk you through the steps to deploy your first application on Google Cloud Run.

Prerequisites

Before we get started, there are a few things you will need:

• A Google Cloud Platform account
• A project in the Google Cloud Console
• Docker installed on your local machine
• Basic knowledge of Docker and containerization

If you don't have a Google Cloud Platform account, you can sign up for a free trial here. Once you have created your account, you can create a new project in the Google Cloud Console.

Step 1: Write Your Application

The first step in deploying your application on Google Cloud Run is to write your application. For this tutorial, we will use a simple Python Flask application that returns "Hello, World!".

from flask import Flask

app = Flask(__name__)

@app.route('/')
def hello_world():
    return 'Hello, World!'

if __name__ == '__main__':
    app.run(debug=True, host='0.0.0.0', port=8080)

Save this code in a file named app.py.

Step 2: Containerize Your Application

The next step is to containerize your application using Docker. If you are not familiar with Docker, it is a platform that allows you to package your application and its dependencies into a container. This container can then be run on any machine that has Docker installed.

Create a new file named Dockerfile in the same directory as app.py with the following contents:

FROM python:3.8-slim-buster

WORKDIR /app

COPY requirements.txt .

RUN pip install --no-cache-dir -r requirements.txt

COPY . .

CMD ["python", "app.py"]

This Dockerfile starts with a base image of Python 3.8 and sets the working directory to /app. It then copies the requirements.txt file to the working directory and installs the dependencies using pip. Finally, it copies the rest of the files in the directory to the working directory and sets the command to run the app.py file.

Create a new file named requirements.txt in the same directory as app.py with the following contents:

Flask==1.1.2

This file lists the dependencies required by your application.

Build the Docker image by running the following command in the same directory as Dockerfile:

docker build -t my-first-cloud-run-app .

This command builds the Docker image and tags it with the name my-first-cloud-run-app.

Step 3: Upload Your Container to Google Container Registry

The next step is to upload your Docker image to Google Container Registry. Google Container Registry is a private Docker image storage service that allows you to store and manage your Docker images.

First, enable the Container Registry API by navigating to the Google Cloud Console and selecting your project. Then, click on the hamburger menu in the top-left corner and select "APIs & Services" > "Dashboard". Click on the "+ ENABLE APIS AND SERVICES" button and search for "Container Registry API". Click on the API and then click the "ENABLE" button.

Next, authenticate Docker to use your Google Cloud Platform account by running the following command:

gcloud auth configure-docker

This command configures Docker to use your Google Cloud Platform account for authentication.

Tag your Docker image with the Google Container Registry URL by running the following command:

docker tag my-first-cloud-run-app gcr.io/[PROJECT-ID]/my-first-cloud-run-app

Replace [PROJECT-ID] with your Google Cloud Platform project ID.

Push your Docker image to Google Container Registry by running the following command:

docker push gcr.io/[PROJECT-ID]/my-first-cloud-run-app

This command uploads your Docker image to Google Container Registry.

Step 4: Deploy Your Container to Google Cloud Run

The final step is to deploy your Docker container to Google Cloud Run. Google Cloud Run is a fully managed serverless platform that allows you to run your containers without worrying about infrastructure.

Navigate to the Google Cloud Console and select your project. Then, click on the hamburger menu in the top-left corner and select "Cloud Run" > "Create Service".

Fill in the following fields:

• Service name: my-first-cloud-run-service
• Region: us-central1
• Deployment platform: Cloud Run (fully managed)
• Container image: gcr.io/[PROJECT-ID]/my-first-cloud-run-app
• Port: 8080

Click on the "Create" button to deploy your container to Google Cloud Run.

Conclusion

Congratulations! You have successfully deployed your first application on Google Cloud Run. With Cloud Run, you can focus on writing code and let Google take care of the rest. We hope this tutorial has been helpful in getting you started with Google Cloud Run. Happy coding!

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