Resources on Kubernetes and how modern cloud infrastructure works.
Kubernetes schedules containers across a group of machines and keeps them running in the state you declare.
A managed Kubernetes service runs the control plane, upgrades and node lifecycle, so your team operates applications instead of the cluster.
Distributions and platforms such as OpenShift, Rancher and k3s package Kubernetes with tooling for installation, upgrades and fleet management.
Hybrid and multi-cloud architectures spread workloads across providers and your own data centers to balance cost, resilience and compliance.
Running Kubernetes on bare metal, virtualization platforms and edge sites brings cloud-style operations to hardware you own.
Data sovereignty decides which jurisdiction controls your data. Residency, provider ownership and encryption keys all limit where workloads can run.
Hyperscalers, European clouds and bare-metal providers differ in price, regions, hardware and managed services.
Kubernetes spend grows with idle capacity, oversized requests and expensive instance choices. Rightsizing and autoscaling recover most of it.
GPUs power AI training and inference. The accelerator, the provider and the scheduling model decide both performance and cost.
Kubernetes security covers who can reach the API, what workloads may do, how secrets are stored and how tenants are isolated.
Kubernetes networking connects Pods, Services and the outside world through CNI plugins, load balancers, ingress and egress controls.
Platform engineering gives developers self-service infrastructure through GitOps, CI/CD pipelines and infrastructure as code.
Create a managed Kubernetes cluster in minutes. Every new account gets €200 in credit, so you can explore the full platform with no charge until it's used or expires.