multi-cloud-architecture

To design a cloud-agnostic architecture, use a decision framework to select and integrate services across AWS, Azure, and GCP. This framework defines architectural patterns for workload placement and service integration while avoiding vendor lock-in.

The best way to place workloads in a multi-cloud environment is applying a decision framework that aligns workloads with provider capabilities. This approach compares cloud services to leverage best-of-breed options across AWS, Azure, and GCP.

Multi-cloud disaster recovery planning works by applying architectural patterns for geographic distribution across AWS, Azure, and GCP. It defines strategies to ensure system resilience by distributing workloads and integrating services across multiple providers.

You need a multi-cloud architecture strategy when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers. It provides guidance for selecting services and defining integration patterns across clouds.

Yes, you can build a hybrid cloud application running workloads on AWS, Azure, and GCP with centralized security and cost governance. The architecture uses integration patterns to connect services across the different providers.

A limitation of cloud-agnostic multi-cloud architecture is the complexity of service integration across AWS, Azure, and GCP. Careful workload placement and provider capability alignment are required to avoid vendor lock-in and manage distributed costs effectively.