VxCloud
Python Hosting

Deploy Python App
to Google Cloud Platform (GCP) VMs.

Zero serverless limitations. Standardize your deployments across Google Cloud Platform (GCP) virtual environments with direct root control, automated let's encrypt certificates, and managed DB options.

Deploying Python App to Google Cloud Platform (GCP) Infrastructure

vxcloud simplifies container hosting on your own cloud. Rather than managing firewalls, web server configurations, and TLS renewal cron scripts, our deployment runner structures the underlying processes automatically.

Containerized Delivery

vxcloud compiles a production-grade Docker container for your Python App application using minimal alpine images.

Automated HTTPS routing

Automatic certificate registration and auto-renewals securely bind client connections on port 443.

Link cloud DB nodes

Link database components directly inside Google Cloud Platform (GCP). Connection configs flow straight into env structures.

Dynamic health probing

Redirect user requests only after container processes return a successful 200 state on target health paths.

Zero downtime updates

Rolling updates swap container nodes seamlessly, preventing service interruption during code changes.

Dedicated VPS compute

No request constraints or cold start delays. You retain 100% access to all CPU and memory resources.

Step-by-Step Deployment Commands

Follow these three commands to provision virtual server hardware and trigger a secure, containerized deployment.

1) Provision virtual machine on Google Cloud Platform (GCP)bash
# Create the virtual server using the CLI
vxcli vm create \
  --name web-instance \
  --cloud gcp --region us-central1 --instance-type e2-medium \
  --key-pair-name PRODKEY1

# Save public IP address for deployment
export HOST_IP=<public-ip-from-output>
2) Build environment detailsbash
# Ensure you have a valid requirements.txt in your root directory.
# Below is the typical Dockerfile compiled by our template runner:

FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 8080
CMD ["python", "main.py"]
3) Run deploy command with dynamic SSL configurationbash
# Trigger the container build and establish reverse proxy routes
vxcli deploy python \
  --source-dir ./ \
  --app-name web-app \
  --http-port 80 \
  --app-port 8080 \
  --env PORT=8080 \
  --env DATABASE_URL=postgres://... \
  --enable-ssl \
  --domain app.example.com \
  --ssl-email [email protected] \
  --host $HOST_IP --ssh-user ubuntu --key-pair-name PRODKEY1

# app.example.com is now live with automated Let's Encrypt SSL.

Production Best Practices Checklist

  • Sane Docker wrapper handles general scripts, bots, or task loops.
  • Support for background processes running continuously on cheap VMs.
  • Easily mount environment parameters and external volume drives.
  • Pre-pack required libraries and compiled system libraries.

Frequently Asked Questions

Deploy Python App to Google Cloud Platform (GCP) today

Experience smooth developer workflows directly on your own infrastructure. No lock-in, flat pricing.

Other deployment pathways