multi-cloud-architecture

Use a structured decision framework to evaluate and integrate compute, storage, and database services across AWS, Azure, and GCP. This approach ensures your multi-cloud architecture avoids vendor lock-in while leveraging best-of-breed services for your specific requirements.

Common multi-cloud architecture patterns for avoiding vendor lock-in include disaster recovery, best-of-breed service integration, and geographic distribution. These strategies enable resilient cloud-agnostic designs by distributing workloads across AWS, Azure, and GCP.

Use a cloud-agnostic design when you need to leverage best-of-breed services from different providers, such as AI/ML from GCP and enterprise integrations from Azure. It is ideal for optimizing performance and cost across providers while mitigating vendor lock-in risks.

Compare compute, storage, and database offerings across AWS, Azure, and GCP using the Skill's detailed service comparison framework. This mapping informs your architectural decisions by evaluating equivalent cloud services against your specific application requirements.

Yes, the multi-cloud architecture framework supports cost optimization across providers. It guides service selection across AWS, Azure, and GCP to satisfy cloud-agnostic design requirements while balancing performance needs against provider pricing.