Workflow Designed for Developers
Forget complex FTP transfers, server configurations and database lockups. Push your code via git and go live in seconds.
Connect Your Repository
Define the Skyversal Git remote address in your existing Python project terminal. Takes just a few seconds.
Push with One Command
Prepare your code and push to Skyversal servers via git. Our pipeline system automatically starts the deploy process.
Automatic Pipeline & Live
Your Pip/Poetry packages are installed, static files are collected, migrations are run and your WSGI/ASGI server is brought up.
skyversal deployPython Container Plans
Fully isolated processor and memory resources for each project. Scale without surprise costs or CPU overages.
- ✓1 Containers (PaaS Quota)
- ✓0.50 vCPU / 1 GB RAM (PaaS Slice)
- ✓5 GB NVMe SSD
- ✓GitHub / Bitbucket / GitLab Auto Push
- ✓1 Free Subdomain
- ✓Community Support
- ✓1 Containers (PaaS Quota)
- ✓1 vCPU / 1 GB RAM (PaaS Slice)
- ✓5 GB NVMe SSD
- ✓GitHub / Bitbucket / GitLab Auto Push
- ✓1 Free Subdomain
- ✓Community Support
- ✓3 Containers (PaaS Quota)
- ✓2 vCPU / 3 GB RAM (PaaS Slice)
- ✓10 GB NVMe SSD
- ✓GitHub / Bitbucket / GitLab Auto Push
- ✓1 Free Subdomain
- ✓Email Support
- ✓10 Containers (PaaS Quota)
- ✓4 vCPU / 8 GB RAM (PaaS Slice)
- ✓15 GB NVMe SSD
- ✓GitHub / Bitbucket / GitLab Auto Push
- ✓1 Free Subdomain
- ✓Email Support
- ✓Priority Build
Custom For You
Contact us and let us build a custom cloud infrastructure tailored to your project needs.
- ✓Custom resource limits (CPU, RAM)
- ✓Priority support & SLA guarantee
- ✓Full configuration to your needs
Sleep well at night with Skyversal: Your project is never suspended on shared servers or shut down due to CPU overages. Our 24/7 expert team and Python/Django/SaaS-focused consulting keep your infrastructure fully secure.
Why Does Shared Hosting Limit Python?
Why choose container-based PaaS architecture over standard cPanel-based hosting services? Compare.
| Infrastructure Parameter | Classic Shared Hosting | Skyversal Python PaaS |
|---|---|---|
| Application Runtime | ||
| ASGI / WSGI Server (Uvicorn / Gunicorn) | Forbidden / Not supported (Background daemon processes are killed) | ✓ Built-in Support (Gunicorn and Uvicorn processes run 24/7) |
| Dependency & Package Management | Only global pip or cPanel Selector (Dependency conflicts are common) | ✓ Poetry & Pipenv (Isolated virtualenv builds dedicated to your project) |
| Queues & Background Jobs | ||
| Celery / Redis Background Workers | Not supported (Long-running async workers cannot be run) | ✓ Built-in Supervisor (Celery and Redis tasks managed automatically) |
| Redis Cache & Connection Pool | None or Paid (File cache is slow) | ✓ Free (Built-in Redis support on all plans) |
| Management & CI/CD Freedom | ||
| SSH Terminal & CLI Commands | Limited or Fully Forbidden (manage.py commands cannot be run) | ✓ Full Access (Run shell commands and migrations via SSH) |
| Git Integration & CI/CD | None (The hassle of uploading code via FTP) | ✓ Built-in Git Push (Automatic collectstatic and deploy with one command) |
| Security & Hardware | ||
| Noisy Neighbor (Performance Theft) | High Risk (Sites on the same server drain the CPU) | No Risk (Every Python project runs in its own isolated container) |
Built-in Redis and PostgreSQL
Python applications need Redis and PostgreSQL services for sessions, caching, database connection pooling and Celery message queues. They come built-in on Skyversal.
- Zero-latency Redis data caching and session management
- High I/O database performance with high-speed NVMe SSD disks
- Ready-to-use Redis integration as Celery broker and result backend
Automatic virtualenv and Poetry Pipeline
Focus only on your code. When you push via Git, our pipeline servers detect your Poetry or pipenv dependencies, set up the isolated virtual environment and compile static files.
- Poetry lock or requirements.txt dependencies installed automatically
- Django collectstatic and database migrations run on the server
- Zero-downtime deploy so your users never notice an interruption
Uvicorn & Gunicorn Process Management
Process managers that keep your Django WSGI or FastAPI ASGI servers running 24/7 and automatically adjust worker counts based on incoming load are preconfigured.
- Gunicorn / Uvicorn worker processes active 24/7 in the background
- Celery beat and periodic cron scheduler integration support
- Container-based isolated environment variable (.env) security
Python Hosting FAQ
Developer questions about WSGI/ASGI servers, dependency management, Django collectstatic, Celery workers and Python versions.
Python Hosting is a dedicated PaaS service that provides WSGI/ASGI application servers such as Gunicorn or Uvicorn, pip/Poetry dependency management and background task managers like Celery that web frameworks such as Django, FastAPI and Flask require, all within an isolated container architecture.
Unlike classic shared hosting, python daemon processes cannot be run there and restrictive PHP limits do not apply here.
After a git push, our platform installs your dependencies. For Django projects, python manage.py collectstatic --noinput and python manage.py migrate are run automatically. Then Gunicorn or Uvicorn processes are restarted with zero downtime.
The Skyversal build pipeline system automatically detects the poetry.lock, Pipfile.lock or requirements.txt file in the root of your project. It installs your dependencies into an isolated virtual environment (virtualenv) dedicated to your project, preventing conflicts with system libraries.
Skyversal inspects the files in your project and automatically detects Django (WSGI) or FastAPI (ASGI) entrypoints. To maximize concurrency performance, you can fine-tune worker and thread counts via skyversal.json or a Gunicorn config file added to your project root, matching your container's CPU limits (usually Formula: 2 x CPU_Core + 1).
The number of database connections in Python applications is limited. When using Django's built-in DB connection pooling or SQLAlchemy/Tortoise-ORM with FastAPI, you can prevent connection lockups (too many connections) by setting the pool_size and max_overflow parameters according to Skyversal's isolated database limits.
You can define Celery worker daemons with a single click from the Skyversal panel or your configuration file. Thanks to our Supervisor process manager, these workers keep running 24/7 without interruption and are automatically brought up when the server restarts.
Yes. In Django projects, the python manage.py collectstatic --noinput command is run automatically in the build pipeline steps after git push, and the generated static assets are optimized and injected into our global edge CDN servers.
You should not add your .env file containing critical API keys to your git repository. Instead, you can add them as key-value pairs in the Environment Variables section of the Skyversal panel. These variables will be safely injected into your application at container runtime.
You can switch between Python 3.9, 3.10, 3.11 or 3.12 by changing a single line from your Skyversal panel or the configuration file (skyversal.json) in your project. The version switch happens instantly with zero downtime.
Move Your Python Project to the Cloud Today
Start deploying with advanced container architecture and git-push simplicity.
Questions? Write to us →