Not every workload belongs in the public cloud. Regulation, latency, costs — there are plenty of reasons for on-premise. Hybrid cloud with Kubernetes gives us the flexibility to run workloads where they make sense.
Why Hybrid¶
- Regulation: sensitive data must remain in the local jurisdiction
- Latency: IoT edge processing needs low latency
- Costs: constant workloads are cheaper on-premise
- Legacy: some systems aren’t cloud-ready
Kubernetes as an Abstraction¶
Kubernetes runs the same on-premise and in the cloud. Deployment YAML is identical. The differences are in storage, networking, and IAM — we parameterize those in Helm values per environment.
Multi-Cluster Management¶
Rancher as a central management plane. One dashboard for the on-premise cluster in Prague and the GKE cluster in Frankfurt. Centralized RBAC, monitoring, logging.
Challenges¶
Networking: VPN/IPsec tunnel between on-premise and cloud. Latency of 10-20ms. Problematic for synchronous cross-cluster communication — design services so they don’t need cross-cluster sync calls.
Data synchronization: active-active databases across clusters is complex. We solve it with event-driven architecture — Kafka MirrorMaker for event replication.
Hybrid Is a Pragmatic Choice¶
All-in cloud isn’t always realistic. Hybrid cloud with Kubernetes provides flexibility — and the Kubernetes abstraction minimizes vendor lock-in.
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