From a fresh django-admin startproject to production-ready in minutes. Gunicorn + uvloop workers, Celery task queues, Flower dashboard, Git-based deploys, zero-downtime rollbacks — all managed by Python specialists who actually read PEPs.
Generic shared hosting treats Python like any CGI script — slow boots, no async, no Celery, manual deploys. Our managed platform is built around the language: every layer tuned for Gunicorn, SQLAlchemy, Celery workers and ASGI event loops.
Heroku / Render / raw droplet
You babysit nginx, Gunicorn, Redis, supervisor, Celery, SSL renewals, backups. One bad apt upgrade and your workers stop.
Built for the language
Pre-tuned Gunicorn, Redis, PostgreSQL 16, supervisor & Celery. Git push to deploy. Rollback in one click. Python-aware support that reads your stack trace.
Cheapest tier hosting
mod_wsgi pools sized for static sites. No persistent workers, no Redis, no SSH, no Celery. Cron-only "task runners" that drop jobs.
Traditional mod_wsgi boots the entire app on every request. Gunicorn keeps workers warm in memory — same code, dramatically more throughput. Here's what we measured on a Business plan with a typical blog + API workload.
Benchmark: wrk -t4 -c100 -d30s against a typical blog + JSON API endpoint, Business plan, 3 Gunicorn workers. Your mileage will vary — but the order of magnitude holds.
Every plan includes Gunicorn, Redis, Celery, Git deploy, free SSL, daily backups & 24/7 Python support. Upgrade anytime — no downtime.
Each layer is pre-tuned for the language — from edge cache to Gunicorn workers to NVMe-backed PostgreSQL. No "shared pool" bottlenecks.
HTTP/3, 18+ POPs, static assets cached at edge
SSL termination, HTTP/2 push, gzip + brotli
uvicorn + uvloop — app boots once, stays in memory
Cache, Celery broker, session — sub-ms latency
NVMe-backed, PgBouncer pooling, read replicas
Gen-4 NVMe, 3x mirrored, 7× faster IOPS
git push to production in 60 secondsNo FTP. No "upload the zip". Push to main and our build runner handles the rest — pip install, migrations, Gunicorn reload, atomic symlink swap. Zero downtime, zero babysitting.
Connect a GitHub / GitLab / Bitbucket repo. Every push to main spins up an isolated build container.
pip install -r requirements.txt, npm ci && npm run build, Django collectstatic — all in an ephemeral env.
python manage.py migrate runs in a transaction-safe way, then Gunicorn workers hot-reload with zero dropped requests.
New release goes live via symlink swap. One click — or one rollback — reverts instantly.
SSH in. Run pip, manage.py, shell, npm. Wire webhooks. Tweak Gunicorn. Everything you'd do on your own VPS — without the VPS babysitting.
Key-based auth, optional 2FA. Full shell on every plan.
ssh sylhet@app.sylhethost.com
Isolated venv per app. Install / update packages.
pip install -r requirements.txt
All commands: migrate, shell, collectstatic, test.
python manage.py shell
Interactive shell for ORM & Django app code.
User.objects.filter(active=True)
Connect GitHub / GitLab / Bitbucket. Auto-deploy on push.
git push sylhet main
Build Django/Flask frontend assets with Vite or Tailwind.
npm ci && npm run build
Run custom scripts pre/post deploy. Slack / Discord notify.
after: python manage.py rebuild_index
Every build kept 30 days. Revert to any release instantly.
sylhet rollback --to=127
Celery beat wired automatically. Just define tasks.
celery -A app beat -l info
Live Celery monitoring at /flower, IP-allowlisted.
https://app.sylhethost.com/flower
Debug helper on a subdomain. Password-protected, dev-only.
https://debug.app.sylhethost.com
Run one-off scripts via manage.py shell -c or Jupyter.
python manage.py shell -c "..."
PostgreSQL 16 with PgBouncer pooling, Redis 7 for cache/Celery/session, MongoDB for NoSQL workloads, SQS-compatible queues for cross-region. All pre-wired — just set the .env connection string.
PgBouncer connection pooling keeps query latency sub-ms. Read replicas available on Pro+. Slow query log auto-captured to Sentry.
Single Redis instance per app for cache, session, Celery broker & Flower. Persistence-on-write so a reboot never nukes your queue.
Document database for NoSQL workloads. Drop-in for Mongo Atlas — same driver, no per-query cost. mongoengine / pymongo pre-installed.
Security built for the language — from .env protection to WAF rules tuned for Django/Flask routing. We patch, you ship.
.envPre-configured, pre-tuned, pre-wired. Just pip install and go — the infrastructure side is already done.
Full-stack framework with ORM, admin & auth. Tuned for speed.
Microframework. Flexible, lightweight, perfect for APIs & SPAs.
Async, type-hinted, OpenAPI auto-docs. Pydantic-native.
Small-core, flexible. URL dispatch + traversal. Auth policies wired.
Async networking framework. Long-polling & WebSocket ready.
Flask-like API, async by default. Built for speed.
Distributed task queue. Redis broker pre-wired, Flower dashboard live.
The Python ORM. Pre-tuned connection pool, eager-load aware.
SQLAlchemy migration runner. Auto-generates upgrade scripts.
Run tests on every deploy. Coverage report at /coverage.
Lock-file-driven dependency management. Reproducible builds.
ASGI servers with uvloop + HTTP/2. Hot-reload on deploy.
WebSocket / async support for Django. Redis channel layer wired.
Django REST Framework. Browsable API at /api/.
Error tracking & performance. Pre-wired DSN, source maps uploaded.
Supervisor-managed scheduler. Auto-restart on deploy.
Per-site Python selector means legacy Django 3 apps on Python 3.10 coexist with brand-new Django 5 apps on Python 3.13. Switch in one click.
Our Python engineers handle the whole migration — repo, database, Redis, Celery, scheduled tasks, env vars. Zero downtime, zero data loss.
Securely hand over repo, DB & current server creds (or just a DB dump).
Provision matching plan, clone DB & Redis, run pip install, wire Celery + beat scheduler.
You get a *.sylhethost.app URL to verify before DNS switch.
We sync last-hour DB delta, flip DNS, monitor 404s/errors for 48h. Done.
From early-stage SaaS to high-traffic marketplaces — here's what teams ship on our managed Python platform.
"Migrated from a Heroku Standard-2X dyno. Gunicorn + uvloop gave us a 4x throughput bump on the same hardware, and Celery just works out of the box."
"We process 2M+ GPS events/day through Celery tasks. Flower + Redis on SylhetHost handles the spike without ever throttling. Rollback once saved us from a bad deploy."
"Our Django admin was sluggish on shared hosting. Moved to managed Python here — same code, 6x faster ORM queries thanks to PostgreSQL 16 + Redis cache."
Real answers from our support team — not marketing copy. Don't see your question? Hit the chat bubble, a Python dev will reply in <5 min.
Python 3.10, 3.11, 3.12 and 3.13 are fully supported. We keep all four selectable per site, so you can run legacy Django 3 apps on Python 3.10 alongside brand-new Django 5 apps on Python 3.13 on the same account.
When a new Python version drops, our build image is updated within 48 hours — usually same-day for LTS releases.
Yes — on Business and higher plans. We pre-install Gunicorn with uvloop + uvicorn worker class, wire up supervisor, and reload workers atomically on every deploy. You just set WORKER_CLASS=uvicorn.workers.UvicornWorker in gunicorn.conf.py and run gunicorn app:wsgi.
Starter plan uses traditional Gunicorn sync workers (still fast — Nginx + HTTP/2 + brotli) since async needs persistent workers.
Yes — full SSH (key-based auth only, 2FA optional) on every plan. You can run:
pip install / pip install -r requirements.txtpython manage.py migrate, shell, collectstatic, testnpm ci && npm run build (Node 20 pre-installed)celery -A app worker, celery -A app beatNo sudo (we run an isolated venv per site), but everything you'd actually need is allowed.
Connect GitHub / GitLab / Bitbucket in the panel. We add a deploy key to your repo. Every push to your configured branch (default main) triggers:
pip install -r requirements.txtnpm ci && npm run build (if package.json exists)python manage.py collectstatic --noinput (Django only)python manage.py migrate (skipped automatically on rollback)Each build is preserved for 30 days — one click (or sylhet rollback --to=N) reverts instantly.
Yes — Celery + Flower are pre-wired on Business and higher plans. Redis is already configured as the broker, supervisor is set up to keep celery -A app worker alive across reboots, and the Flower dashboard is auto-published at /flower with IP allowlist + basic auth.
Just pip install celery redis flower, add CELERY_BROKER_URL=redis://... to .env, restart workers — and you're done.
Yes — we wire up celery -A app beat via supervisor on every Python site automatically. Just define your scheduled tasks in celery_app.py (or settings.py for Django) using celery_app.conf.beat_schedule and they'll fire on schedule.
For long-running tasks (>5 min), use Celery workers instead of cron — we already wire Flower for you.
Yes to all three:
Other frameworks (Pyramid, Tornado, Sanic, Starlette, Bottle) also work — just specify the WSGI/ASGI entry point.
Open a ticket with "Migration" in the subject. A Python engineer will be assigned within 1 hour (during 9 AM–11 PM BST; overnight migrations scheduled for next morning).
Share repo access (deploy key) + DB dump (or read-only DB creds). We provision matching infra, clone DB + Redis, run pip install, wire Celery + beat scheduler, and give you a staging URL to verify before DNS cutover. Typical total time: 4–18 hours, depending on DB size.
Yes — 30-day, no-questions-asked money-back on every Python plan. If we mess up the migration or the platform doesn't perform as advertised, we'll refund 100% — including any migration fees. We've issued refunds to ~1.2% of customers in the last 12 months.
Get a managed platform that actually understands the language — Gunicorn, Celery, queues, Git deploys, rollbacks, all done. 30-day money-back. Free migration. 24/7 Python experts on chat.