multi-cloud-architecture

To design multi-cloud architecture, use a structured decision framework to compare and integrate compute, storage, and database services across AWS, Azure, and GCP. This approach prevents vendor lock-in while leveraging best-of-breed cloud services.

Common multi-cloud architectural patterns include the Best-of-Breed pattern for leveraging top-tier services from different providers and Geographic Distribution for deploying resources across regional clouds to enhance resilience and reduce latency.

Compare compute, storage, and database services across AWS, Azure, and GCP by evaluating them against specific workload requirements. Use a decision framework to match application needs with the most effective cloud provider services.

Use a multi-cloud strategy when you need to avoid vendor lock-in, require best-of-breed services like advanced AI/ML on GCP combined with cost-effective compute on AWS, or must integrate with existing enterprise systems on Azure.

The best way to avoid vendor lock-in is implementing a multi-cloud architecture using established patterns. This involves selecting best-of-breed services across AWS, Azure, and GCP based on a structured decision framework rather than relying on a single provider.