Python applications.
Simple deployments on your VM.
Package, deploy, and scale Python scripts, flask APIs, and background processes. Automated pip caching, Let's Encrypt SSL, and multi-cloud DB links.
Production-grade Python infrastructure
Run APIs, web scrapers, data scripts, or ML backend workers on your own dedicated compute. Flat-rate virtual machines eliminate serverless execution timeouts.
Dockerized Python Runtimes
Multi-stage Docker builds utilizing official python-slim distributions. Custom Python versions can be easily targeted.
Let's Encrypt SSL
Automatic SSL certificate configuration and renewals. Secure your endpoints instantly.
Postgres & MySQL connections
Link managed database instances. Connection parameters flow straight into python environment variables.
Background Process Support
Host background script loops, consumers, or automation tasks continuously on cheap virtual machines.
Unified CI/CD Pipelines
Deploy from GitHub Actions or GitLab CI. Automated rollback capabilities ensure high service availability.
Dedicated Cloud VMs
Deploy to AWS, GCP, Azure, Linode, or Alibaba. You only pay standard flat VPS provider rates without transaction markups.
Quickstart — Python Flask App live with HTTPS
vxcli vm create \
--name python-vm --cloud aws --region us-east-1 \
--instance-type t3.micro --key-pair-name AWSPRODKEY2
# Save the public IP address
export VM_IP=<public-ip-from-output>vxcli deploy python \
--source-dir ./ \
--app-name flask-app \
--http-port 80 \
--app-port 5000 \
--start "gunicorn -b 0.0.0.0:5000 app:app" \
--env FLASK_ENV=production \
--env DATABASE_URL=postgres://... \
--enable-ssl \
--domain app.example.com \
--ssl-email [email protected] \
--host $VM_IP --ssh-user ubuntu --key-pair-name AWSPRODKEY2
# app.example.com is now live with automated Let's Encrypt SSL.Python production checklist
- Pin package dependencies inside `requirements.txt` to avoid unexpected library updates during rebuilds.
- Use gunicorn or uvicorn web servers in production instead of Flask's built-in development server.
- Configure structured logging to output as JSON to standard output, enabling aggregate metrics parsing.
- Configure health paths to return simple 200 responses quickly, without blocking on slow database lookups.
- Enable persistent database connection pooling in your python models to limit server connection exhaustion.
Python hosting FAQ
Host your Python applications today
Sane container configurations, database connections, and Let's Encrypt SSL setups with a single developer command.