multi-cloud-architecture
Decision framework and service comparison patterns for architecting across AWS, Azure, GCP, and OCI.
- 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
Multi-Cloud Architecture
Decision framework and patterns for architecting applications across AWS, Azure, GCP, and OCI.
Purpose
Design cloud-agnostic architectures and make informed decisions about service selection across cloud providers.
When to Use
- Design multi-cloud strategies
- Migrate between cloud providers
- Select cloud services for specific workloads
- Implement cloud-agnostic architectures
- Optimize costs across providers
Cloud Service Comparison
Compute Services
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