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+---
+name: multi-cloud-architecture
+description: Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
+---
+
+# Multi-Cloud Architecture
+
+Decision framework and patterns for architecting applications across AWS, Azure, and GCP.
+
+## 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
+
+| AWS | Azure | GCP | Use Case |
+|-----|-------|-----|----------|
+| EC2 | Virtual Machines | Compute Engine | IaaS VMs |
+| ECS | Container Instances | Cloud Run | Containers |
+| EKS | AKS | GKE | Kubernetes |
+| Lambda | Functions | Cloud Functions | Serverless |
+| Fargate | Container Apps | Cloud Run | Managed containers |
+
+### Storage Services
+
+| AWS | Azure | GCP | Use Case |
+|-----|-------|-----|----------|
+| S3 | Blob Storage | Cloud Storage | Object storage |
+| EBS | Managed Disks | Persistent Disk | Block storage |
+| EFS | Azure Files | Filestore | File storage |
+| Glacier | Archive Storage | Archive Storage | Cold storage |
+
+### Database Services
+
+| AWS | Azure | GCP | Use Case |
+|-----|-------|-----|----------|
+| RDS | SQL Database | Cloud SQL | Managed SQL |
+| DynamoDB | Cosmos DB | Firestore | NoSQL |
+| Aurora | PostgreSQL/MySQL | Cloud Spanner | Distributed SQL |
+| ElastiCache | Cache for Redis | Memorystore | Caching |
+
+**Reference:** See `references/service-comparison.md` for complete comparison
+
+## Multi-Cloud Patterns
+
+### Pattern 1: Single Provider with DR
+
+- Primary workload in one cloud
+- Disaster recovery in another
+- Database replication across clouds
+- Automated failover
+
+### Pattern 2: Best-of-Breed
+
+- Use best service from each provider
+- AI/ML on GCP
+- Enterprise apps on Azure
+- General compute on AWS
+
+### Pattern 3: Geographic Distribution
+
+- Serve users from nearest cloud region
+- Data sovereignty compliance
+- Global load balancing
+- Regional failover
+
+### Pattern 4: Cloud-Agnostic Abstraction
+
+- Kubernetes for compute
+- PostgreSQL for database
+- S3-compatible storage (MinIO)
+- Open source tools
+
+## Cloud-Agnostic Architecture
+
+### Use Cloud-Native Alternatives
+
+- **Compute:** Kubernetes (EKS/AKS/GKE)
+- **Database:** PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL)
+- **Message Queue:** Apache Kafka (MSK/Event Hubs/Confluent)
+- **Cache:** Redis (ElastiCache/Azure Cache/Memorystore)
+- **Object Storage:** S3-compatible API
+- **Monitoring:** Prometheus/Grafana
+- **Service Mesh:** Istio/Linkerd
+
+### Abstraction Layers
+
+```
+Application Layer
+    ↓
+Infrastructure Abstraction (Terraform)
+    ↓
+Cloud Provider APIs
+    ↓
+AWS / Azure / GCP
+```
+
+## Cost Comparison
+
+### Compute Pricing Factors
+
+- **AWS:** On-demand, Reserved, Spot, Savings Plans
+- **Azure:** Pay-as-you-go, Reserved, Spot
+- **GCP:** On-demand, Committed use, Preemptible
+
+### Cost Optimization Strategies
+
+1. Use reserved/committed capacity (30-70% savings)
+2. Leverage spot/preemptible instances
+3. Right-size resources
+4. Use serverless for variable workloads
+5. Optimize data transfer costs
+6. Implement lifecycle policies
+7. Use cost allocation tags
+8. Monitor with cloud cost tools
+
+**Reference:** See `references/multi-cloud-patterns.md`
+
+## Migration Strategy
+
+### Phase 1: Assessment
+- Inventory current infrastructure
+- Identify dependencies
+- Assess cloud compatibility
+- Estimate costs
+
+### Phase 2: Pilot
+- Select pilot workload
+- Implement in target cloud
+- Test thoroughly
+- Document learnings
+
+### Phase 3: Migration
+- Migrate workloads incrementally
+- Maintain dual-run period
+- Monitor performance
+- Validate functionality
+
+### Phase 4: Optimization
+- Right-size resources
+- Implement cloud-native services
+- Optimize costs
+- Enhance security
+
+## Best Practices
+
+1. **Use infrastructure as code** (Terraform/OpenTofu)
+2. **Implement CI/CD pipelines** for deployments
+3. **Design for failure** across clouds
+4. **Use managed services** when possible
+5. **Implement comprehensive monitoring**
+6. **Automate cost optimization**
+7. **Follow security best practices**
+8. **Document cloud-specific configurations**
+9. **Test disaster recovery** procedures
+10. **Train teams** on multiple clouds
+
+## Reference Files
+
+- `references/service-comparison.md` - Complete service comparison
+- `references/multi-cloud-patterns.md` - Architecture patterns
+
+## Related Skills
+
+- `terraform-module-library` - For IaC implementation
+- `cost-optimization` - For cost management
+- `hybrid-cloud-networking` - For connectivity