Deploy Your Flask App on Kuberns in One Click

Run Flask web apps and APIs in production without setting up Gunicorn workers, Nginx, Dockerfiles, or cloud infrastructure. Kuberns deploys and manages your Flask app as a long-running service, handling scaling, monitoring, and security automatically.

Zero-Configuration Flask Deployment

Push your Flask repository, and Kuberns automatically configures the WSGI server, process model, and runtime needed for production Flask apps.

Auto Scaling & Monitoring

Built-in logs and metrics help you understand request load, memory usage, and application behavior without external monitoring tools.

Secure AWS Infrastructure

Every Flask deployment runs on optimised AWS infrastructure with isolated environments and lower compute costs compared to standard cloud pricing.

Get Started with Kuberns in 3 Simple Steps

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Deploy Flask apps with Kuberns AI

1. Connect Your GitHub

Kuberns automatically detects your Flask project structure, Python runtime, and dependencies once you connect your GitHub account and select the repository.

2. Configure Environment

Add environment variables such as database credentials, API keys, or secrets. Kuberns securely injects them into your Flask runtime without hardcoding values.

3. Click Deploy and Go Live

Kuberns builds your container, configures the WSGI server, and deploys your Flask app on global AWS infrastructure. Your app goes live in minutes.

Here’s How Our Pricing Works

Kuberns gives you production-grade AWS infrastructure with a 40% compute discount and no hidden fees. Deploy First, And Pay Later

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It's a classic platform, but outdated for today’s backend deployment needs.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 Flask backend applications with persistent processes, background workers, and long-running requests.
No serverless cold starts or function timeouts
Persistent servers, workers, cron jobs supported

Deploy Your Flask App in One Click with AI Now

FAQs to Help You Deploy Flask on Kuberns

How do I deploy a Flask app on Kuberns?

Do I need a Dockerfile to deploy Flask?

Does Kuberns support Flask built-in servers?

How should I manage environment variables?

Can I deploy Flask with Postgres on Kuberns?

Does Kuberns support background jobs for Flask?

How does scaling work on Kuberns?

How much does it cost to deploy a Flask project on Kuberns?

Do Flask apps sleep or pause on Kuberns?

Can I deploy private repositories?

Does Kuberns include CI/CD?

Is Kuberns suitable for production-ready Flask apps?

Simplify, Automate, and Scale Your Cloud Deployments in minutes!

Why Choose Kuberns for Your Cloud Deployment?

Boundless Features Built to Save You Time & Money

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