Applications

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.

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my-django-app Container Deployment

Running

Web Server

gunicorn

Celery Worker

celery worker

Celery Beat

celery beat

MariaDB

SSL active

app.example.com Level 4 · 512 MB

Django, Flask, FastAPI Any Python framework

Any Version

Via Docker Image

99.9%

Uptime

Germany

Server Location

NVMe

SSD Storage

Managed Python Hosting

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 container deployments 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 hour.

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.

Hourly billing

Full cost control, scalable anytime. A performance level costs €1.30/month.

Live in 3 steps

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.

FROM python:3.12 → pip install -r requirements.txt → gunicorn app:app

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.

Optimized for Python

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.

99.9%

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.

LAY7 cloud

Standard Docker images
No vendor lock-in
GDPR compliant (DE)
Billed by the hour

PaaS Providers

Proprietary buildpacks
Platform dependency
US hosting (EU more expensive)
Rigid monthly pricing

Server Location

Germany

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 – and you stay in full control of your costs.

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

Billed by the hour, full cost control. Scale performance levels up and down anytime.

API Service

Flask or FastAPI

Web Container (Level 4) 5.20 €
Volume (5 GB) 1.65 €

Django Setup

Django with Celery Worker

Web Container (Level 4) 5.20 €
Celery Worker (Level 2) 2.60 €
MariaDB (Level 2, 1 GB) 2.93 €
Volume (10 GB) 3.30 €

All prices incl. VAT per month with continuous usage. Full price list

Frequently Asked Questions

Any. You control the Python version via your Docker image. Python 3.9, 3.10, 3.11, 3.12, 3.13 – you choose the right base image and have full control over your runtime.
Yes. Django as a web container with Gunicorn, Celery Worker and Celery Beat as separate runtime containers. Each process runs in isolation, automatically restarts on crashes and has its own performance level.
Via your Dockerfile – just like you do locally. pip install -r requirements.txt, Poetry, Pipenv or uv. No package restrictions, no proprietary buildpacks.
Via WhiteNoise in your Django app or a separate Nginx container in the same deployment. Persistent volumes store media files that survive container restarts.
Anytime. You choose the right level for your containers and databases in LAY7 cloud. As your application grows, adjust CPU, RAM and storage with a few clicks – no migration, no new server.