Deploy your app without becoming its infrastructure team
Connect GitHub and push. We build your app, start it in an isolated microVM on bare metal, check that it is healthy, and then send it traffic. No Kubernetes cluster to run.
Dokedu
A smaller cloud, on purpose.
Big clouds offer hundreds of services and leave you to connect them. We are taking the opposite approach: fewer primitives, strong defaults, and one platform responsible for the seams.
From Git push to healthy deployment.
No Kubernetes manifests. No deployment pipeline to assemble. No server to provision.
DokeduEventually, the glue becomes the job.
A host, a database vendor, object storage, a queue, and an observability tool can look flexible at first. Then your team owns the IAM rules, secrets, deploy hooks, network configuration, and five separate bills.
Hyperscalers answer with more services and more configuration. We chose fewer services, stronger defaults, and a platform that owns the connections between them.
The reasonable objections.
You should be skeptical of another cloud platform. Here are the trade-offs, not the slogans.
“I can wire this together myself.”
You can. The question is whether maintaining the connections is useful work for your team. IAM rules, secrets, deploy hooks, and network configuration all need an owner long after the first setup is done.
If infrastructure is your product, Atlasflow may be the wrong abstraction. If your product runs on infrastructure, we think the platform should own more of it.
“Opinionated means lock-in.”
Sometimes it does. Today your application runs as a standard container. The data services we are building use Postgres and the S3 interface rather than proprietary application APIs.
We make deployment decisions for you because that is the point of the platform. We do not need to invent a new application model to do it.
“Will it scale, or am I migrating again?”
We scale workloads horizontally by placing more isolated microVMs across available servers. Each instance has its own kernel, and the control plane replaces instances that stop matching the declared state.
We will not promise infinite scale. Every platform has limits. The useful question is whether those limits are clear before they become your incident.
“Another Heroku that gets expensive.”
Our rates are public. CPU and memory are billed by the second, storage is billed by capacity over time, and traffic has no per-request surcharge. You can use the calculator before you deploy.
We run on rented bare metal instead of reselling hyperscaler virtual machines with another margin on top. Efficient use of the hardware is our problem, not a line item on your bill.
We do not route traffic because a build finished.
A deployment receives traffic only after its health check passes. Until then, the last successful version stays live. If an instance fails or drifts from its declared state, our control loop replaces it.
This does not make failures impossible. It makes detection and recovery a platform responsibility instead of another runbook for your team.
Deploy near users when latency warrants it.
Choose from 25 locations across five continents. Deploy close to your users, and use multi-region when latency or resilience justifies the added complexity.
Frequently askedQuestions
Try it with a real application.
Connect a repository and push. Watch the build, inspect the deployment, and decide whether the platform fits how your team works.