multi-cloud-architecture

Decision framework and service comparison patterns for architecting across AWS, Azure, GCP, and OCI. Decision framework and patterns for architecting applications across AWS, Azure, GCP, and OCI. Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers. Reference: See references/service-comparison.md for complete comparison Reference: See references/multi-cloud-patterns.md - Includes detailed service mapping tables across compute, storage, and database categories to identify equivalent offerings and best-of-breed selections - Four core multi-cloud patterns: single provider with disaster recovery, best-of-breed service selection, geographic distribution, and cloud-agnostic abstraction layers - Cloud-agnostic alternatives using Kubernetes, PostgreSQL, Apache Kafka, Redis, and open source tools to reduce vendor lock-in - Cost comparison and optimization strategies covering reserved capacity, spot instances, right-sizing, and lifecycle policies across all four providers - Phased migration strategy from assessment through optimization with best practices for infrastructure as code, monitoring, and disaster recovery testing - Design multi-cloud strategies - Migrate between cloud providers - Select cloud services for specific workloads - Implement cloud-agnostic architectures - Optimize costs across providers - Primary workload in...