What is Kubernetes? Kubernetes — often shortened to K8s — is an open-source platform for deploying, scaling, and managing containerised applications across a cluster. In other words, it helps teams run containers reliably in production without hand-managing every server.
What is Kubernetes used for in real systems?
Kubernetes shines when you run multiple services, ship code frequently, and need consistency across environments. For example, it handles rolling updates so your users see no downtime. In addition, it scales your workloads automatically during traffic spikes and restarts failed containers without manual intervention.
Furthermore, Kubernetes uses a declarative model: you describe the state you want, and Kubernetes continuously works to keep the system in that state. As a result, your infrastructure becomes self-healing by design.
Core Kubernetes concepts you must know
Before running Kubernetes in production, you need to understand six building blocks. Therefore, take five minutes with these now — they come up in every upgrade, incident, and architecture discussion.
Cluster, control plane, and nodes
A Kubernetes cluster has two parts. The control plane makes scheduling decisions and manages cluster state. Worker nodes run your actual workloads. In practice, every kubectl command you run goes through the control plane.
Pods
A Pod is the smallest deployable unit in Kubernetes. Most of the time, a Pod runs one application container, sometimes with a supporting sidecar. Pods are ephemeral — they are replaced, not restarted — so design your applications accordingly.
Deployments
A Deployment manages a set of identical Pods. It handles rolling updates, rollbacks, and scaling. Therefore, when you need to ship a new version, you update the Deployment — not individual Pods.
Services
A Service provides a stable network address for a set of Pods. Because Pods are replaced frequently, Services ensure other parts of your system always know where to send traffic.
Ingress
An Ingress routes external HTTP and HTTPS traffic into Services. In other words, it is the front door of your cluster — the component that maps your domain names and paths to the right backend Service.
ConfigMaps and Secrets
ConfigMaps store non-sensitive configuration. Secrets store sensitive values like API keys. Separating configuration from container images is a Kubernetes best practice, because it makes images portable across environments.
To read the canonical definitions, see Kubernetes overview and cluster architecture
When Kubernetes is — and is not — the right choice
Kubernetes is a strong fit when multiple conditions are true at once. Consider it when you have more than two or three services to manage, when you ship frequently, when you need standardised CI/CD deployments, or when you require reliable rollouts with automatic rollback.
However, Kubernetes adds complexity. If you have a single small service with no scaling requirement and no plans to grow, a simpler approach is faster to operate. That said, many teams still want the Kubernetes workflow even at small scale — because it gives them a clear path to grow without re-architecting later.
Three operating paths — self-managed, managed, and dedicated
Once you decide Kubernetes is the right tool, the next question is: how do you run it? There are three main paths.
Path | What you own | Best for |
Self-managed (kubeadm, kubespray) | Everything: control plane, nodes, upgrades, networking, backups, monitoring | Teams with dedicated platform engineers who want maximum control |
Managed Kubernetes (EKS, GKE, AKS…) | Your applications, security config, ingress, Day-2 ops. Provider manages control plane | Teams that want cloud-native integrations and accept complex billing |
Dedicated Kubernetes instance (Hosterium) | Your application. Provider provisions and operates the platform layer on a dedicated VM | Small teams who want predictable monthly cost, full root access, and no multi-tenant sharing |
The dedicated path is particularly relevant if your team has limited DevOps bandwidth but still needs a real, upstream Kubernetes cluster. With a dedicated Kubernetes cluster, you receive kubeconfig in minutes and deploy with your existing Helm or CI/CD pipeline — with no cloud sprawl.
For a deeper comparison of managed vs dedicated, see our managed Kubernetes guide.
Day-2 operations: what happens after the cluster is running?
- Upgrades: Kubernetes releases every 4 months. Skipping versions creates risk. Plan a staged upgrade path with a staging cluster.
- Monitoring and alerting: At minimum, alert on node resource pressure, Pod crash loops, and persistent volume utilisation. For monitoring your cluster from day one, a managed observability stack removes this setup burden.
- Backups: etcd is your cluster's source of truth. Back it up before every upgrade. Persistent volume data needs its own backup strategy.
- Security: RBAC, network policies, and secret management are not optional in production. Build them in from the start, not as an afterthought.
Conclusion
Kubernetes is the standard platform for running containers reliably in production. However, the technology is only half the decision. The operating model — who provisions it, who maintains it, and who responds when something breaks — determines whether Kubernetes helps or slows you down.
For teams that want the benefits of Kubernetes without the complexity of managing a full cloud-native platform, a dedicated instance on a predictable monthly price is worth evaluating seriously.
Run Kubernetes without cloud overhead
Want a production-ready cluster you control? Hosterium Dedicated Kubernetes Instance gives you a dedicated cluster (one VM → one cluster), private network by default, one public ingress IP, fixed monthly pricing from €39, and full root access.
You receive kubeconfig in 5 minutes. Deploy with Helm, kubectl, or your existing CI/CD. Optional SRE Managed Service available if you want platform monitoring and upgrades handled for you.
Faq
No. Docker (or another container runtime) runs individual containers. Kubernetes orchestrates containers across a cluster — it handles scheduling, scaling, updates, and self-healing. In practice, Kubernetes uses Docker (or containerd) underneath, but it operates at a higher level.
Yes. Many teams start small with a dedicated Kubernetes instance and a minimal resource plan. As a result, they establish the right deployment workflow early and scale resources as their workload grows — without re-architecting.
You get a dedicated cluster (one VM → one cluster), kubeconfig access, a private /24 network, one public ingress IP, and the ability to deploy via Helm, kubectl, or CI/CD. You keep root control. Optional add-ons — backups, extra storage, extra IPs — are available and charged only when activated.