Grows with your launch – and shrinks when it's quiet.

Kubernetes for startups: when it pays off

Kubernetes for startups isn't a status symbol but a question of timing. Introduced too early, it eats time that belongs in the product. Introduced too late, you rebuild the platform under load – usually in the week the big customer signs. So we look at your situation first: how many services do you have, how differently do they scale, what availability do your customers expect, and is there a funding round with a technical review coming up?

If a single container service is enough, we say so. If Kubernetes fits, we build it as lean as possible: a managed cluster at a large provider, a few proven components and nothing you can't explain in one sentence.

Autoscaling without a surprise on the bill

Scaling in Kubernetes has two levels. The applications scale by the number of their instances: when load rises, the cluster starts more pods, and when it drops, it shuts them down again. Underneath, the servers scale: when there's no room left, nodes are added, and when they're not needed, they disappear. Together this means your launch doesn't fail for lack of capacity, and you don't pay for empty machines in quiet weeks.

So that this isn't flying blind, we set limits from the start. Every application gets sensible CPU and memory requests, staging and preview environments sleep outside working hours, and budgets and alerts are set up at the cloud provider. If costs run out of bounds, you know before the monthly bill arrives.

A typical setup

For most startups, a single managed cluster with two groups of nodes is enough at first: a small, fixed group for system components and a scaling group for your applications. In front sits an ingress controller that distributes traffic, and cert-manager fetches TLS certificates automatically. We separate staging and production at least by namespaces and access rights, and by separate clusters when requirements are higher.

We usually don't run databases inside the cluster but use the provider's managed service. That costs a little more, but it takes backups, failover and updates off your plate – exactly the work a young team has no time for. Everything together is described in Terraform, so a second environment takes only a few lines.

GitOps from day one

Everything that runs in the cluster is described in Git. A tool like Flux keeps comparing the cluster with the repository: whatever is merged gets rolled out, and whatever isn't in the repository doesn't exist. That sounds like bureaucracy, but it saves time exactly when things get tight: every change has a pull request, every rollback is a revert, and nobody has to remember who ran which command on which cluster when.

Security that survives a due diligence

By Series A or your first enterprise customer at the latest, the questionnaires arrive: who has access to production? How are secrets managed? Are there backups, and has a restore ever been tested? With clean infrastructure as code, least-privilege access, encrypted secrets and documented backups, you answer these questions with links instead of excuses. That doesn't replace a certification, but it's the foundation one builds on later.

From founding team to platform team

At some point you'll want to run the platform yourselves. So we build from the start for someone else to take over: the configuration lives in your repository, decisions are documented, and we onboard your first platform engineer. Until then we keep running the cluster, with monitoring, upgrades and a contact person who knows it.

How we build and secure clusters in general is explained on the Kubernetes consulting page. Whether Kubernetes fits you yet is best settled in a free first call.