Deploy and scale Python applications on your own cloud with Convox
Streamlined Deployment Workflows
Ship Flask, Django, or FastAPI apps with a short convox.yml instead of hand-built servers, and Convox builds and runs each process in your own AWS, GCP, or Azure account.
Git-Driven Release Automation
Connect a repo and every push builds and deploys your Python services automatically, so migrations and Celery workers roll out the same way each time.
On-Demand Scaling for Python Services
Replicas scale up and down to match load, whether you are absorbing FastAPI request spikes or draining a backlog of background tasks, without manual capacity planning.
Per-Service Configuration Control
Manage environment variables like DJANGO_SETTINGS_MODULE and set CPU and memory per process through the CLI and Console, keeping secrets and settings out of your code.
Consistent Dev-to-Prod Environments
Run identical builds across development, staging, and production, and Convox installs the same packages from requirements.txt or poetry.lock so behavior stays predictable everywhere.
Built-In Performance Observability
Track CPU, memory, and request metrics out of the box to catch leaks in data-heavy jobs or watch API response times without wiring up a separate monitoring stack.
Don't just take our word for it.
“Convox made it possible for us to distribute dev-ops responsibilities from one individual to the entire team. Their platform makes it super simple for our developers to fully manage their applications in production without the operational overhead of managing Kubernetes.”
Jim Myers — Flipside Crypto
“The Convox advantage is that operations work is reduced to an absolute minimum. We used to have an extra consultant just to keep our servers safe, taking care of updates, logs and backups, whereas now our developers manage the entire infrastructure by themselves.”
Cesare Navarotto — Monrif
“Convox helped us migrate everything to AWS quicker than I ever thought was possible. Unlocking all the advantages of the cloud through Convox is easily one of the best decisions we made.”
Ryan Jackson — Paid Labs
