Production Kubernetes for your applications - on your servers, in your cloud, or on ours - built, run and debugged by Segla. Connect a repository, ship, and when something breaks, Segla’s AI tells you why - from the request you clicked to the line that caused it. No YAML, no on-call for infrastructure, no DevOps hire.
Sign in with GitHub or GitLab, pick a repo. Segla detects how it builds and runs and turns it into an app - no Dockerfile archaeology, no manifests. Everything it generates lands in a platform repository in your own org, so you can read every change we make.
One command on any Linux machine - bare metal, a VPS, an instance in your cloud account - or connect a cloud account and Segla creates the nodes for you. It joins your cluster; Segla takes over from there.
Your release goes live on its own segla.io subdomain now and on your own domain in one click. Push to the branch again - it ships again.
You can do steps 1 and 3 before you own a single server. The release waits; the moment a node joins, it deploys.
Everything a platform team would build for you, already built - and the nights that come with it, already ours.
Apps built from your repos, grouped into projects that ship and are observed together. Releases with rollback; every deploy is a version you can return to. Environments per branch when you want them, none when you don’t.
Workloads move, you get a message saying which server to replace - or we order one when your provider has an API. In the morning there is a note that reads like a colleague wrote it: what failed, what Segla did, what to check. Kubernetes and OS upgrades roll node by node in your window; control plane and etcd are backed up and restored by us.
Several clusters, several regions, one project. Canary a release to one cluster first; if a region degrades, traffic falls back to another before anyone notices.
Open your app in Chrome, click the failing request in the Network tab, and see its trace through every service and the node it ran on. Segla’s AI already has what a human would spend an hour gathering - the code, the request, the trace, the cluster state, the last deploy - and tells you where it broke, what changed, and what to do. The code is one click away: open the exact file and line in a cloud workspace with the infra context beside it.
Domains handled: a subdomain per app, custom domains verified and wired automatically, certificates renewed by us. Private networking between your servers out of the box - WireGuard, no VPN appliance.
Nothing hidden: the whole platform - your apps, Prometheus, Grafana, ingress, certificates - lives in a git repository you own. Leave Segla tomorrow and it still deploys on any Kubernetes.
Segla’s AI troubleshoots your clusters and releases: it correlates what changed with what broke, explains failures in plain language, and suggests fixes before you dig through logs.
A deploy went out and a node went unhealthy - Segla AI connects the two before you open a dashboard.
Condition messages, events and logs summarized into one explanation of what actually happened.
Concrete next steps, from rollback to config change, grounded in your fleet’s actual state.
Real Kubernetes, Argo CD, Istio, Prometheus, Grafana, cert-manager - the stack a platform team would assemble, running on your nodes and described in your git repository. No proprietary layer between you and it.













Kubernetes

ArgoCD

Grafana

Prometheus

AWS

GCP

Azure

Istio

Cert Manager

External DNS

External Secrets

VPS
Yours: the code, the servers, the decisions.
Your first node is free forever. Push a repo, add a €4 VPS, and you have production with a domain, rollbacks and tracing - the same platform you will still be on at thirty engineers.
| Dimension | Doing it yourself | Segla |
|---|---|---|
| Time to first deploy on your own server | days of Terraform, Ansible and YAML | ten minutes |
| Who upgrades Kubernetes | you, on a weekend | Segla, in your window |
| Node dies at 3 a.m. | your phone | our platform; your message in the morning |
| Second region | a platform-team project | a fleet setting |
| Why did that request fail | grep, guess, ask in Slack | click it |
| Post-incident write-up | someone’s evening | written for you by the time you’re back |
| Monthly cost | a DevOps salary | a plan, not a salary |
No. You manage apps, projects and fleets. kubectl access to your cluster is there if you want it.
Anywhere with Linux and a network: Hetzner, OVH, your own rack, an AWS or GCP account. You can mix them in one cluster.
You own the data and any hardware you bring; Segla operates the cluster - upgrades, control plane, node lifecycle.
Connect an AWS or Hetzner account and Segla creates the nodes, or start on Segla-provided nodes and move later.
Workloads are rescheduled onto healthy nodes and you are told which server to replace. With a provider API connected, Segla replaces it.
From what Segla already runs for you: your code through the Git app, the request and its trace, the cluster state, the last deploys. Nothing to install, no logs to ship anywhere.
Your workloads and data run wherever your servers are. Segla’s control plane is hosted by us; EU residency is available for teams that need it.
Your first node is free forever. Paid plans unlock more nodes, clusters and features - see Pricing.
Yes, with everything. Every app and every platform component Segla runs is described in a git repository in your account, built from open-source tools. Deploy it on any Kubernetes and keep going without us.
Connect a repository. Add a server, or let us. That’s the whole platform team.