Compute
CPU and memory for the thing you are running, sized per workload rather than per node you have to keep alive.
Connect your repository and let Domineta handle the rest — build your container, deploy it, give it an HTTPS URL, and roll out every push to your branch.
Illustration of a deployment: a connected repository on its main branch, a proposal from Domineta AI to build and deploy it which a person confirms, an image built and tagged, a rollout of the application's web, API, PostgreSQL and volume components on the standard tier, and the result live over HTTPS at its own address with paths routed to the services behind it. Every later push to the branch repeats the build and the deploy on its own.
Everything an application needs between a commit and a URL, in one place and under one bill. Connect a repository once and every push after that deploys on its own.
CPU and memory for the thing you are running, sized per workload rather than per node you have to keep alive.
The image your CI already builds, unchanged. No rewrite into someone else's manifest format to get it running.
A real database as part of the application, not an external service you provision separately and wire in by hand.
Object storage for what the application writes and serves — uploads, artifacts, the files that outlive a single request.
Block storage attached to a workload, for the state that has to survive a restart and belongs next to the process using it.
Private networking between services, and an HTTPS URL on the public side minted on request rather than configured.
Connect a repository and a push becomes a deployment: built, rolled out and reachable without a pipeline to write first.
The whole set above, together, as one unit you can create per branch, per pull request or per customer.
Three ways into the same platform. Deploy, manage, troubleshoot and operate from whichever one you are already in.
Ask why a deploy failed or what a service is doing, and get the answer from the platform's own state. It can propose the fix and carry it out.
The same operations from a terminal or from CI, scriptable, for the work that belongs in a pipeline rather than in a browser tab.
Your own coding agent, connected to the platform directly — deploying and debugging against real infrastructure instead of guessing at it.
Every environment runs in a space of its own, with its own database and its own address. Nothing you run can reach another customer’s work, and nothing of theirs can reach yours. Put realistic data in a preview and send the link to a colleague without wondering who else is on the machine.
Separation is not something you configure and hope you got right. Every environment is created isolated, and there is no setting that makes it less so.
The database and the files belong to that one environment. They are not a shared service with your rows in someone else’s table.
When an environment expires, everything inside it goes with it. Nothing lingers on a disk somewhere waiting to be found later.
Reviewing us for your security team? Ask for the architecture detail and we will walk you through exactly how the separation works.
A frontend, an API and a real datastore, started together, addressed on one hostname and thrown away together. The Console is where they live.
| Environment | Tier | Status | TTL | URL |
|---|---|---|---|---|
| pr-482-acme | standard | Running | 08:00:00 | pr-482-acme-7f3a9c21.app.domineta.com |
| pr-479-acme | preemptible | Provisioning | — | pr-479-acme-c0d41e77.app.domineta.com |
| nightly-e2e | standard | Expiring | 00:10:02 | nightly-e2e-acme-2b41f8d0.app.domineta.com |
| agent-sandbox-3 | preemptible | Suspended | paused |
A provisioning environment already has its URL — the hostname is issued when you ask for the environment, not when it finishes starting. Until the first deploy succeeds it serves a holding page, which is exactly why it can go on the pull request straight away.
Your frontend, API and database share one address, so the frontend calls
/api directly. No CORS to configure, and the same build works in
every environment.
Run Postgres or Redis alongside your application. Databases stay private to the environment — we will not put one on the public internet even if you ask, because that is how test data ends up on the news.
Each service can reach the others by name, and the addresses arrive as environment variables. Nothing to wire up, and your own settings are never overwritten.
Connect a repository and turn on auto-deploy: a push to the branch you chose builds the image and rolls it into the environment, on the hostname that was already on the pull request. Off by default, and per environment.
Ask why a build failed or what an environment is doing, in the Console. It can propose the work too — create, build, deploy, fix, extend, suspend, resume or delete — and each proposal is a button you press, never something it does behind you.
Bring the image your CI already builds, or connect a repository and let Domineta build it. Either way the environment is described by one file, and the URL is minted before anything has booted.
What your app needs to run, and how long you want it for. One file, or a short form.
We find it a private space of its own and get it started. You do not size anything.
Everything comes up together and you get a secure link you can share straight away.
The TTL expires, you get a grace window, then the whole environment goes.
Give every PR its own complete environment, with a URL you can paste into the description before CI has finished.
Frontend, API and a real database together, seeded and torn down per run, instead of one shared staging everybody queues for.
Somewhere for a coding agent to actually run what it wrote. The boundary matters more when nobody read the code first.
A temporary environment for a spike or a demo that does not leave anything behind in shared infrastructure.
These are decisions, not gaps waiting to be filled. Better to know now than to find out at the wrong moment.
We would rather publish the right number once than publish one twice, so there is no rate card here yet. When there is, it will be because it was measured.
Build it.
Test it.
Throw it away.