Python Hosting in the Cloud
Django, Flask, FastAPI and Celery Workers as managed processes. Highly available, scalable at any time, hosted in Germany. Deployed in minutes.
Python Hosting for Django, Flask and FastAPI – managed cloud from Germany
Python Hosting on LAY7 cloud means your Django app, your Flask service or your FastAPI application runs as a persistent container on managed Kubernetes infrastructure. Gunicorn, Uvicorn or Daphne as a long-running WSGI/ASGI process – no Function-as-a-Service, no cold starts, no platform lock-in.
Celery Workers and Celery Beat run as standalone containers alongside your web application. Each process is isolated, automatically restarted on crashes and has its own performance level. For Django projects with background processing, scheduled tasks or asynchronous workloads, this is the production-ready solution without Supervisor configuration.
You bring your Docker image, LAY7 cloud runs the infrastructure. SSL certificates, automatic backups, logs and the entire Kubernetes platform are managed for you. Server location Germany, GDPR compliant, billed by the minute with no base fee.
Django, Flask & FastAPI
Any Python framework. Standard Docker, no proprietary buildpacks.
Celery Worker Support
Workers and Beat as standalone containers, each with its own performance level.
Server Location Germany
GDPR compliant. Your data stays in German data centers.
Billed by the Minute
No base fee, no minimum term. You only pay for what you use.
How to deploy your Python app
From zero to production in minutes – pip, Poetry or uv, your workflow stays the same.
Create a Dockerfile
Define your Python environment in a Dockerfile. Python version, pip install, Poetry, Pipenv or uv – install dependencies the way you do locally. Standard Docker, no proprietary buildpack.
Push image & configure
Push your Docker image to any registry of your choice – Docker Hub, GitHub Container Registry or your own private registry. In the dashboard, configure web containers with Gunicorn or Uvicorn, Celery Workers and Celery Beat as separate processes with dedicated resources.
Deploy & scale
One click starts the deployment. Your Python app runs as a persistent container on Kubernetes infrastructure. As traffic grows, scale CPU and RAM with a single click – effective immediately, without downtime, without migration.
Everything your Python app needs in production
Django, Flask, FastAPI, Starlette – persistent processes instead of serverless functions, with full control over your runtime.
Celery Workers & Background Processing
Celery Workers and Celery Beat as standalone runtime containers on LAY7 cloud. Each worker runs in isolation, automatically restarts on crashes and has its own performance level. For Django projects with email delivery, image processing, PDF generation or other asynchronous tasks, this is the production-ready solution without Supervisor.
- Automatic restart on crashes
- Dedicated performance level per worker
- No Supervisor needed
- Celery Beat for scheduled tasks
WSGI & ASGI – Gunicorn, Uvicorn, Daphne
Your Python web server runs as a long-running process on LAY7 cloud. Gunicorn for Django and Flask, Uvicorn for FastAPI and Starlette, Daphne for Django Channels – you choose the right server for your use case. No cold starts, no request limits, no short timeouts like on serverless platforms.
- Gunicorn for Django & Flask
- Uvicorn for FastAPI & Starlette
- Daphne for Django Channels
- No 30-second timeout
Managed Database & Persistent Volumes
MariaDB as a managed service right next to your Python containers in the same network. SQLAlchemy, Django ORM or Peewee connect directly. Persistent volumes store media files that survive container restarts and deployments. Automatic backups with one-click restoration.
- MariaDB in the same network
- Persistent volumes for media
- Automatic backups
- One-click restoration
Any Python framework, any use case
Django, Flask, FastAPI, Starlette – if it's written in Python, it runs on LAY7 cloud. Celery Workers and Celery Beat as separate containers, each with dedicated resources. Web app, API, background processing – all in one deployment, each process isolated.
Uptime on Kubernetes infrastructure. Automatic restarts on crashes, isolation between applications. Your app keeps running, even when individual nodes fail.
Celery & Background Workers
Celery Workers and Celery Beat as permanently running runtime containers. Automatic restart within seconds on crashes – no Supervisor, no cron job workarounds. Each worker with its own performance level.
pip, Poetry & requirements.txt
Install your dependencies the way you're used to. pip install, Poetry, Pipenv – all defined in your Dockerfile. No proprietary buildpacks, no package restrictions.
Persistent Processes
Gunicorn, Uvicorn, Daphne – your WSGI or ASGI server runs as a permanent process. No Function-as-a-Service, no cold starts. Your Python app is instantly ready when requests arrive.
- Standard Docker images
- No vendor lock-in
- GDPR compliant (DE)
- Billed by the minute
- Proprietary buildpacks
- Platform dependency
- US hosting (EU more expensive)
- Rigid monthly pricing
GDPR compliant. Your data and your users' data stays in German data centers. No US Cloud Act, no data transfers to third parties.
Scale anytime
More resources with one click in the dashboard, without server migration. Fewer resources when traffic drops – you only pay for what you use.
Managed MariaDB right next to your containers
Databases as a dedicated managed service – in the same network as your containers. Automatic backups with configurable intervals and one-click restoration. SSL certificates via Let's Encrypt for all domains, automatically issued and renewed.
Transparent Pricing
Usage-based and billed by the minute. No monthly base fee, no minimum contract.
API Service
Flask or FastAPI
Django Setup
Django with Celery Worker
All prices excl. VAT per month with continuous usage. Full price list
Frequently Asked Questions
Which Python versions are supported?
Can I run Django with Celery?
How do I install Python packages?
How are static files served?
How fast can I scale?
Ready for Python in the Cloud?
Get started now. No contract commitment, no minimum term.