Ownkube, Render, Railway and Heroku all rebuild and redeploy your app on every push to a GitHub branch with no pipeline to write. Fly.io gets you there through a GitHub Actions workflow you keep yourself.

What keeps maintenance low is everything around the push: whether a bad build stops itself, whether you hear about errors before users do, and whether the database backs itself up. We compare the five on those, then price a small backend (an API, a worker, an hourly job and Postgres) on three of them.

Our picks

If you want Pick
Push to deploy for the whole backend, with logs, metrics and alerts included and a prepaid bill Ownkube
Fixed instance prices and deploys that wait for CI to pass Render
The fastest setup and a preview environment for every pull request Railway
Review apps and the add-on marketplace Heroku
Apps close to users on several continents, and you don't mind owning a workflow file Fly.io

The five at a glance

Prices are approximate list prices from each provider's pricing page, as of November 2026.

Platform Deploys on push Waits for CI Per-PR previews Workers and cron Postgres from
Ownkube Yes, GitHub and GitLab No, deploy from a branch CI merges into No Yes, both built in $4 a month plus $0.25 per GB
Render Yes Yes Yes Yes, both built in $6 a month
Railway Yes Yes Yes Yes, cron per service Metered
Heroku Yes Yes Yes, review apps Worker dynos, Scheduler add-on $5 a month (1 GB)
Fly.io Through a GitHub Actions workflow Your workflow decides Through a GitHub Action Process groups, scheduled Machines About $38 a month managed

What low maintenance actually takes

Redeploying on push handles one chore. These are the others that come back every week if the platform skips them.

Builds without a Dockerfile

If every repo needs a hand-written Dockerfile, you maintain base images and build steps across all of them. Ownkube, Render, Railway and Heroku all build common Node, Python, Go and Ruby apps without one. On Ownkube that is the automatic build, and it switches to your Dockerfile when the repo has one.

Rollouts that stop a bad build

On Ownkube, health checks gate every rollout: new containers have to pass before the old ones stop, so a build that crashes on boot leaves the last good version serving. If a bad change does ship, rollback goes to any of the last 3 builds on Pay as you go and the last 10 on a plan.

Logs, metrics and alerts

Logs and CPU and memory charts come with every Ownkube app, and public web apps add request rates and p95 latency, all kept 7 days on Pay as you go, 30 on Personal and 90 on Team. Alert rules on CPU, memory or restarts email the organization owner when they fire and again when they clear. On Heroku the same visibility usually means one or two paid add-ons.

Database backups

A redeploy brings code back from Git, but not data. Managed Postgres on Ownkube takes 7-day backups with point-in-time restore on Personal and Team, turned on per database. Pay as you go databases have no backups, so that is the line to upgrade for before real users arrive.

The options, one by one

Ownkube

Ownkube is a cloud for personal software. You connect a GitHub or GitLab repo, pick a branch, and every push builds and deploys to an *.ownkube.app hostname with TLS.

Web apps, workers, scheduled jobs, Postgres and a Valkey cache sit side by side in one environment, and they reach each other by private name. Billing is a prepaid wallet: apps meter CPU and memory per minute (about $18 per vCPU and $4.50 per GiB a month), or sit on a flat Spark box from $5.

Ownkube doesn't wait for CI checks, has no per-PR previews, and runs in two regions, Mumbai and Germany. The preview environments guide covers what a per-branch setup looks like today.

Render

Render's auto-deploy can run on every commit or only after CI checks pass, which is the cleanest CI gate of the five. Instances are flat-priced from $7 a month, so the bill is predictable and an idle service costs the same as a busy one. See Render alternatives.

Railway

Railway has the fastest first deploy, can wait for GitHub checks, and spins up an environment per pull request. It meters usage per second, which suits many small services. See Railway pricing explained.

Heroku

Heroku's GitHub integration deploys on push, can wait for CI, and builds review apps for pull requests. Workers are dynos at the same price as web dynos, and cron runs through the Scheduler add-on. See Heroku alternatives for the dyno math.

Fly.io

Fly.io deploys with fly deploy. Deploy-on-push means a GitHub Actions workflow and an API token you manage, which gives you full control over the pipeline and one more file to maintain. It is the pick when apps need to run close to users on several continents. See Fly.io alternatives.

A small backend, priced

The stack is an API, a queue worker, a job that runs 5 minutes every hour, and a Postgres with about 5 GB of data. The Ownkube lines assume the API averages 0.1 vCPU and holds 512 MiB, the worker 0.1 vCPU and 256 MiB, since metered CPU follows actual use.

Line Ownkube Render Heroku
API Metered, about $4 Starter, $7 Basic dyno, $7
Worker Metered, about $3 Starter, $7 Basic dyno, $7
Hourly job Metered, under $1 Cron job, billed per run Scheduler, one-off dyno per run
Postgres DB 0.5 box $4 plus 5 GB, $5.25 256 MB plus 5 GB, $7.50 Essential-1 (10 GB), $9
Total about $13, plus bandwidth about $22, plus cron runs about $23, plus Scheduler runs

Render and Heroku figures are approximate, as of November 2026, on Render's Hobby workspace. The database sizes are not identical: Ownkube's DB 0.5 has 0.5 GiB of memory against Render's 256 MB. A busier API moves the Ownkube line up, and a Spark box fixes it at a flat price if you prefer. Try your own sizes on the cost calculator.

Setting it up on Ownkube

Create a web app from the dashboard, connect your GitHub or GitLab account when it asks, and pick the repository and branch. Set a root directory if the app lives in a monorepo folder such as apps/api.

Add a Postgres database in the same environment and link it to the app, which hands the app its connection string as a secret variable (okctl deploy link does the same from the terminal). Add a /health route so rollouts can tell when the app is ready.

From then on every push to the branch builds and deploys. To pause deploys during an incident, run okctl deploy auto-deploy <id> --enabled=false. To have CI gate deploys, point the deployment at a release branch that your CI merges into once tests pass.

When not to pick Ownkube

Pick Railway, Render or Heroku if every pull request needs its own live preview without setup. Pick Render if deploys must wait for GitHub checks natively. Pick Fly.io if your users are far from both Mumbai and Germany.

A quick checklist before you choose

  • Push a commit that crashes on boot and confirm the old version keeps serving.
  • Roll back once, on purpose, before you need to.
  • Find where logs and metrics live, and how long they are kept.
  • Turn on database backups and test a restore.
  • Price the worker and the cron job, not only the web app.

FAQ

Which hosting platforms redeploy automatically from GitHub?

Ownkube, Render, Railway, Heroku, DigitalOcean App Platform, Vercel and Netlify all redeploy on push from a connected GitHub repo. Fly.io does it through a GitHub Actions workflow. Ownkube also redeploys from GitLab.

Can I stop a push from deploying on Ownkube?

Yes. Turn auto-deploy off for the app with okctl deploy auto-deploy <id> --enabled=false, and turn it back on when you are ready. Pushes made while it is off don't deploy.

What is the cheapest way to host a backend with a worker and a small database?

On metered pricing, a mostly idle API and worker cost a few dollars each, so the database is usually the biggest line. In our example the whole backend comes to about $13 a month on Ownkube. See managed Postgres pricing for the database line across eight providers.

Where Ownkube fits

Ownkube suits a small team that wants builds, rollouts, rollbacks, logs, alerts and Postgres backups to come with the app, paid from a wallet where unused credit never expires. If an app later has to run in your own or a customer's AWS account, it moves there with no rewrite, and its logs and metrics come with it. Deploy my first app.