multi-cloud-architecture

A multi-cloud architecture strategy avoids vendor lock-in by defining cloud-agnostic abstraction layers, enabling disaster recovery across providers, and integrating best-of-breed compute, storage, and database services to meet specific workload and compliance needs.

Compare AWS, Azure, and GCP services by evaluating their compute, storage, database, and networking capabilities against your workload demands, using a structured decision framework to select the optimal provider for each component.

Implement portable multi-cloud architectures using infrastructure-as-code tools like Terraform or OpenTofu, which provide governance guidance to provision and manage resources consistently across AWS, Azure, and GCP.

Plan a multi-cloud migration by mapping workloads to best-of-breed services across AWS, Azure, and GCP, establishing cloud-agnostic abstraction layers, and applying infrastructure-as-code governance to maintain portability and cost optimization.

Yes, you can build a cloud-agnostic multi-cloud architecture using Kubernetes for compute orchestration and PostgreSQL for databases, combined with object storage across AWS, Azure, and GCP to meet portability and compliance needs.

Limitations of a cloud-agnostic multi-cloud architecture include the complexity of managing disparate APIs, potential compromises on native features for portability, and the overhead of maintaining consistent security practices and cost optimization across AWS, Azure, and GCP.