The savings are possible thanks to consolidating workloads into a single, right-sized Kubernetes cluster, which removes duplicated overhead and improves utilization. This enabled savings of roughly $1 million for a recent client, just by simplifying operations.

The process is accelerated by an AI agent. AI handles the repetitive analysis, minimizing cost and duration, and drafts a migration plan. Importantly, every recommendation is still reviewed by an architect or security engineer before it reaches you.

The engine delivers a fully orchestrated Kubernetes cluster in weeks. The stack is productized, making delivery fast. Since it’s configuration-driven, it’s adjusted to your security, compliance and architecture requirements

The platform deploys anywhere, from local and regional cloud providers to on-premises and global hyperscalers. That lets you place each workload where price, performance and data residency need point, and move it later without replatforming.

With NoviArc, workloads move freely between clouds. Multi-cloud and cloud-to-cloud migrations stop being replatforming projects and become configuration changes. You are never tied to a single provider’s APIs.

Thanks to combining the mentioned benefits, a portable architecture, productized platform and AI assistance with human sign-off NoviArc reduces the total cost of migration by up to 80% (compared to a traditional, all-consulting approach).