Deploy Your Django App on Kuberns in One Click
Ship your Django application without touching servers, configurations, or DevOps steps. Kuberns builds, deploys, and scales your app automatically so you can focus on coding.
Zero-Configuration Deployment
Push your Django project and let Kuberns handle the build, logs, and scaling.
Auto Scaling & Monitoring
Your app scales based on real traffic with built-in logs, metrics, and alerts.
Secure AWS Infrastructure
Every deployment runs on optimised AWS infrastructure with 40% cost savings.
Get Started with Kuberns in 3 Simple Steps
Deploy Django apps with Kuberns AI
1. Connect Your GitHub
Kuberns automatically detects your Django project, runtime, and dependencies, once you connect your github account and select the repo needed.
2. Configure Environment
Add environment variables, and Kuberns sets up everything for you.
3. Click Deploy and Go Live
Kuberns builds your Docker image, creates your cluster, and deploys your app on global AWS infrastructure in minutes.
Here’s How Our Pricing Works
| Instance | Memory | Vcpu | Compute Cost | subtotal |
|---|---|---|---|---|
| t4g.nano | 512 MB | 2 | $1.20 | $7.09 |
| t4g.micro | 1 GB | 2 | $2.41 | $8.30 |
| t4g.small | 2 GB | 2 | $4.83 | $10.72 |
| t4g.medium | 4 GB | 2 | $9.67 | $15.56 |
| t4g.large | 8 GB | 2 | $19.35 | $25.24 |
Why Kuberns is better than other platforms
Heroku
It's a classic platform, but outdated for today’s backend deployment needs.
- Kuberns is always cheaper than Heroku for the same CPU and RAM
- No 30-second request timeouts, no forced app sleeping, no dyno restrictions
- Autoscaling, logs, and monitoring included (no paid add-ons)
Render
Render is simple to start, but limited when apps grow or teams scale.
- 85/month on Render vs 15.56 on Kuberns for similar compute
- No slow build queues or complex service wiring
- No hidden fees for autoscaling or background workers
Railway
Railway is great for prototypes, but less stable for real production workloads.
- Railway costs ~80/month for what Kuberns delivers for 15.56
- No usage caps, build limits, or credit confusion
- Comprehensive dashboards showing query patterns and background job status included
Vercel
Powerful platform, but not suitable for complex backend deployments.
- Kuberns runs full backend Node.js APIs with persistent processes
- No serverless cold starts or function timeouts
- Persistent servers, workers, cron jobs supported
FAQs to help you deploy Django on Kuberns
How do I deploy a Django project on Kuberns?
Do I need a Dockerfile to deploy Django?
Does Kuberns support Django migrations?
How should I manage environment variables for Django?
Can I deploy Django with Postgres on Kuberns?
Does Kuberns support Django Celery workers or background tasks?
What version of Python and Django does Kuberns support?
How does scaling work for Django apps on Kuberns?
How much does it cost to deploy a Django project on Kuberns?
Do Django apps sleep or pause on Kuberns?
Can I deploy private Django repositories?
Does Kuberns include CI/CD for Django?
Is Kuberns suitable for production-ready Django apps?
