Hybrid and multi-cloud architectures spread workloads across providers and your own data centers to balance cost, resilience and compliance.
Hybrid cloud Kubernetes runs workloads on your own servers and in public clouds through one Kubernetes API. Learn three ways to build it and their trade-offs.
Yes, if the control plane stays in one low-latency location and only worker nodes spread across clouds. Learn the limits and when to use one cluster per cloud.
Put each workload where its compute, data and network are cheapest, keep owned hardware busy, and compare every environment with one cost model.
Vendor lock-in is when leaving a cloud provider costs too much. Reduce it with open interfaces, portable data, known egress costs and a tested exit plan.
A workload placement strategy decides which cloud, region or data center each app runs in, based on residency, latency, data gravity, cost and hardware.
Build availability in layers: a replicated control plane, nodes in several zones, resilient apps, a second cluster, traffic failover and replicated data.
Cloud repatriation moves workloads from public cloud back to infrastructure you control. It pays off for steady, data-heavy or GPU-heavy workloads.
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.