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Quick Definition
Multi-cloud is the use of more than one cloud provider, often to avoid vendor lock-in, meet regulatory needs, or use best-of-breed services. It improves resilience and flexibility but complicates cost visibility, governance, and skills, requiring unified FinOps across providers.
Multi-cloud means using more than one public cloud provider, AWS plus GCP, or any other combination. Some companies arrive deliberately, picking each provider's strengths or satisfying regulators; many arrive by accident through acquisitions and team preferences.
The costs are real and mostly operational. Each provider has its own services, billing format, discount mechanics, and required expertise, so everything from security to cost allocation must be done multiple ways or normalized into one. Moving data between clouds incurs egress charges, and commitment discounts fragment when spend splits across providers.
Example. A company runs products on AWS and analytics on GCP after an acquisition. Finance cannot answer what a product costs until it adopts tooling that normalizes both bills into one allocated view, a problem the Disprz case study shows being automated across clouds.
If you choose multi-cloud, choose it per workload with the operational bill priced in. The top multi-cloud FinOps challenges and multi-cloud system design strategies cover the practice.
It is a trade: leverage and fit versus duplicated expertise and tooling. Deliberate, workload-by-workload multi-cloud works; reflexive multi-cloud mostly adds cost.
Partially. It keeps negotiating leverage but doubles the platforms to master, and data gravity still binds each workload to its home.
Normalize billing data into one model, ideally the FOCUS standard, allocate consistently, and track each provider's commitments separately.