Guided, hints are free
Tutorials
A step-by-step path, with notes and the editor open beside the terminal. To learn something new without getting stuck.
- Progress is saved
- Hints cost nothing
Klastro starts an isolated Kubernetes cluster in seconds. You do the work inside it, and your result is graded automatically.
The technologies you actually operate during a session
Why Klastro
An engineer picking up Kubernetes has two unsatisfying options. Quiz platforms confirm they memorised the syntax of a manifest, never that they can bring a cluster back up. Demo labs lend them a terminal for twenty minutes and grade nothing: they leave without knowing whether they got it right.
The same gap exists in hiring. A technical interview ends on an impression, or on an algorithm exercise that says nothing about diagnosing a pod that refuses to start. Teams hiring cloud-native engineers know this, and work around it with homegrown tests that are slow to write and impossible to compare between candidates.
Those are two symptoms of one hole: there is no real, disposable infrastructure that a machine can grade. Klastro is that engine. It brings up a dedicated cluster in seconds, lets someone work in it without a safety net, then reads the cluster’s actual state to establish what is done and what is not.
A disposable cluster, graded on its real state. Learning and assessing are then just two ways of looking at the same session.
The category
Klastro sits at the intersection of the two: real isolated infrastructure, work that is graded automatically, and a single engine that serves both training and hiring.
| Real, isolated infrastructure | Quiz platforms | Demo labs | Klastro |
|---|---|---|---|
| Real, isolated infrastructure | – | ||
| Automatic, reproducible grading | – | ||
| Live supervision | – | – | |
| Per-session network isolation | – | ||
| One engine for training and hiring | – | – |
Klastro handles the infrastructure. What is left is the work itself.
A catalogue of cloud-native scenarios, or your own. Each one defines its environment type, the tasks to complete, and the validation rules that grade them.
A dedicated cluster starts in seconds. Terminal, editor and notes open in the browser. Nothing to install locally.
Validation rules run against the real cluster state. Learners see their progress, hiring teams get a score they can defend.
Four formats, one engine
The same real infrastructure, framed around what you are trying to do.
Guided, hints are free
A step-by-step path, with notes and the editor open beside the terminal. To learn something new without getting stuck.
Graded automatically
A failure to fix, an objective to reach. Validation rules read the real cluster state and the score lands immediately.
Open, no objective
An empty cluster, yours. To test a change, reproduce an incident or prep a demo, without building a local environment.
For hiring teams
Ordered scenarios under a global timer, live supervision, a score hidden from the candidate, and an exportable report.
The scenario picks the machine it needs. You configure nothing.
Scroll sideways
Pricing
Lab time is always metered or capped. No surprises on the invoice.
Enough to touch real infrastructure and find out whether the format suits you.
Full access to the catalogue, with credits included every month.
A contract product, enabled per organization and set up with our team. Proctoring, SSO, private scenarios, data hosted in the EU.
Indicative pricing, confirmed when the service opens.
Product status
Klastro is not a waiting page: the engine exists and starts clusters today. Here is where we are, unrounded.
In place
3Four environment types started on demand, isolated per session, destroyed at the end. This is the hard part, and it works.
Validation rules run against real cluster state and produce a reproducible score, task by task.
Terminal, instructions and editor in a single tab, with nothing installed on the machine.
In progress
3The first cloud-native scenarios: guided tutorials, graded challenges and open playgrounds, reviewed one by one before opening.
Sign-up, credit balance and the Pro subscription. This is what stands between the engine and a public opening.
Supervised sessions, private scenarios and an exportable report. The product runs; we are setting it up with the first pilot teams.
Next
1An editor for writing your own scenarios and their validation rules without touching YAML. Not started yet.
What people ask us before we open.
Early access
We are opening in waves, starting with the people who tell us what they want to do in there. Tell us in one line which side you are on.
or write to us directly at [email protected]
An email that lands in a real inbox. We answer every one.