Building a Multi-Cloud Control Plane with Kubernetes
At VIERCE, we manage infrastructure across three major cloud providers. Rather than treating each provider as a separate concern, we built a unified control plane that abstracts away the differences and presents a single API to our internal teams and customers.
The Problem with Multi-Cloud
Every cloud provider has its own API, its own networking model, and its own approach to IAM. Managing workloads across multiple clouds traditionally means duplicating configuration, maintaining separate deployment pipelines, and hiring specialists for each platform. This approach does not scale.
Architecture Overview
Our control plane is built on Kubernetes custom resource definitions (CRDs) and a set of controllers that translate abstract resource definitions into provider-specific infrastructure. The core is written in Go, with a gRPC-based API layer that handles authentication, rate limiting, and request routing.
Automatic Failover
One of the key features is automatic failover. Our health-checking controllers continuously monitor the state of workloads across all providers. When a region or provider experiences degradation, workloads are automatically migrated to healthy infrastructure with zero manual intervention.
Cost Optimization
The control plane continuously analyzes spot instance pricing, committed use discounts, and regional pricing differences across providers. Workloads are dynamically scheduled to the most cost-effective location while maintaining SLA requirements.