multi-cloud-architecture

To design a multi-cloud architecture, use a structured decision framework to select and integrate services across AWS, Azure, and GCP, leveraging best-of-breed services while avoiding vendor lock-in. It compares compute, storage, and databases to optimize performance and cost.

Common multi-cloud patterns for avoiding vendor lock-in include single provider with disaster recovery, best-of-breed service selection, and geographic distribution. These patterns help integrate services across AWS, Azure, and GCP to ensure system resilience.

Use a multi-cloud architecture when you need to leverage best-of-breed services from different providers, such as hosting AI/ML components on GCP and enterprise applications on Azure. It addresses challenges in building resilient systems and avoiding vendor lock-in.

Compare cloud services across providers by evaluating compute, storage, and database offerings from AWS, Azure, and GCP. The architecture decision framework provides detailed service comparisons to guide your selection for optimal performance and cost.

Yes, you can use multi-cloud architecture for geographic distribution and disaster recovery. It supports patterns like single provider with DR, ensuring system resilience by distributing workloads across AWS, Azure, and GCP.

To implement multi-cloud migration strategies, you need an understanding of cloud service comparisons, multi-cloud patterns, and the decision framework for selecting and integrating services across AWS, Azure, and GCP to avoid vendor lock-in.