Multi-Cloud Strategy: When It Makes Sense and When It Does Not

Every major cloud vendor advocates multi-cloud. Most of them are selling you their managed services while hoping you will stay within their ecosystem. Here is a more honest take.

When multi-cloud genuinely helps Regulatory requirements in some industries mandate data residency across multiple providers. If a specific provider has a unique capability — AWS Bedrock for AI or Google BigQuery for analytics — using both can be justified.

The real costs Egress fees, tooling duplication, and skills fragmentation are significant. Your team now needs expertise across two or three clouds, which is expensive to hire and retain.

A pragmatic path Start with cloud-agnostic abstractions at the infrastructure layer: Terraform for provisioning, Kubernetes for compute, and object storage APIs that work on any provider. This does not give you zero-cost portability, but it reduces the migration surface area.

When to stay single-cloud If you are pre-Series B and not yet at significant scale, a single cloud provider with multi-region redundancy meets most availability requirements at a fraction of the operational complexity.