You didn't become an engineer to maintain glue code.
The opinionated cloud that runs
your whole product.
Everything your product runs on, from the frontend to the database, storage, and queues, set up and connected for you. The wiring and running is the part we take.
Dokedu
The boring, proven stack. Nothing proprietary to get trapped by.
- OCI containers
- PostgreSQL
- S3-compatible storage
- Durable queues
- OpenTelemetry
- Cloud Hypervisor microVMs
Your whole stack, on one platform.
One platform, one bill, one mental model. We run a handful of primitives and keep them wired together, so you never assemble them yourself, instead of handing you a thousand services and a second job.
How it works
Three steps. No Kubernetes, no YAML sprawl, no servers to provision.
DokeduFor the team that already shipped.
You launched fast on a beginner host plus a pile of single-purpose vendors, or you went deep on a hyperscaler and now pay the complexity tax. Either way the same thing happened: a growing share of your engineering hours goes to keeping the seams between services alive, not to the product only your team can build.
Atlasflow is one foundation for the whole product: the one you'd have picked at the start if it had existed, and the one you don't have to leave as you grow. Starting right and scaling stop being two different decisions.
The objections you'd raise are the right ones.
You've shipped long enough to be skeptical. So here's the mechanism behind each answer, not a slogan. Then go deploy something and check.
“I can wire this together myself.”
Of course you can. You've done it a dozen times: the IAM policy, the connection pooler, the secrets rotation, the dead-letter queue. None of it ships product, and none of it stays done. It breaks on the next dependency bump and gets relearned by the next hire.
We connect the standard primitives once and keep them connected. Your database is reachable the moment it exists; a queue is one line away; nothing in between is yours to babysit. The skill was never the question. The recurrence was the cost.
“Opinionated means lock-in.”
Then look at what you'd unwind to leave. Nothing in your code imports Atlasflow: it's a container, a Postgres connection string, an S3 client. The way out is a docker pull, a pg_dump, and a bucket copy, to us or to anyone else.
The opinion is only which defaults you stop relitigating every project: Postgres, not the database of the month. The picks are the industry's, not ours. Lock-in needs something proprietary to lock you to, and there isn't one.
“Will it scale, or am I migrating again?”
Migrations happen when you hit the ceiling of an abstraction: the host that was fine at ten requests a second and a wall at ten thousand. There's no ceiling here to hit. Your app already runs on the bare metal you'd otherwise migrate to.
Scaling is horizontal and boring: one instance or a hundred, the control plane places them across servers, and across regions, onto whatever capacity is free, and replaces any that stops passing its health checks. Each instance is its own microVM with its own kernel, so packing more onto a machine never means sharing one with a neighbor that can steal your CPU.
You grow by getting more of what you already run, not by porting to a new runtime. Same architecture at one instance and at a hundred, in one region or several. There is no version of this where you re-platform.
“Another Heroku that gets expensive.”
Heroku got expensive because it was a markup on AWS: you paid Amazon, then paid Heroku for having paid Amazon. We run on bare metal we operate directly, not rented hyperscaler instances, so there's no cloud underneath taking the first cut and no margin stacked on a margin.
You're billed by the second for the CPU, memory, storage, and traffic you actually used, and the number on the pricing page is the number, no per-request surcharge and no rounded-up hour. We make money when the metal runs efficiently, which is exactly what you want it doing.
Reliability is the product, not a feature of it.
You tell Atlasflow the state you want; it keeps your app there. Every deploy is zero-downtime: the old version keeps serving until the new one is healthy, so a broken release never reaches a user, and a bad one rolls back on its own. An instance that goes sick is replaced before anyone notices.
What you're really buying is silence: the 2am page that never fires, the uptime you stop checking, the ops department you never have to become.
Frequently askedQuestions
Judge us by a deploy, not by this page.
Connect a repo, ship one thing, and you'll know in ten minutes whether it fits how you work. No page can tell you that.