Deploying Python Applications on Google Cloud Platform
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GCP offers multiple deployment options for Python applications. You can select the one that best suits your project’s requirements:
- Virtual Machines: Deploying Python applications on virtual machines allows you to have full control over the environment. Use Compute Engine to create and manage VM instances.
- Containers: Containers provide a lightweight and consistent environment for your applications. Use Kubernetes Engine to manage containerized Python apps.
- Serverless: Serverless computing allows you to run code without managing servers. Use Cloud Functions for serverless Python deployments.
Deploying Python App on Virtual Machines
- Create a new VM instance using the GCP Console or the
gcloud
command-line tool. - Choose the appropriate machine type, OS image, and other configurations.
- SSH into the VM and install Python and any required dependencies.
- Upload your Python application code to the VM.
- Run the application and test its accessibility.