Multi-Cloud
Design and operate across multiple cloud providers with proven patterns, cost optimization, and disaster recovery.
Core Topics
| Topic | Description |
|---|---|
| Fundamentals | Multi-cloud strategy, vendor lock-in, cloud-agnostic design, data governance |
| Interview Questions | 20+ Q&A covering architecture, cost, security, and implementation |
Key Concepts
- Vendor Lock-In Avoidance — Use containers, Kubernetes, and cloud-agnostic services
- Cost Optimization — Select cloud providers based on workload type and pricing
- Disaster Recovery — Multiple clouds provide built-in redundancy and failover
- Service Selection — Choose best-of-breed services from different providers
- Architecture Patterns — Active-active, primary-secondary, and workload distribution
Common Use Cases
- Avoid dependency on a single cloud provider
- Reduce cloud costs by 15-30% through optimization
- Ensure business continuity with multi-provider failover
- Access specialized services (GCP for ML, Azure for enterprise integration)
- Meet compliance and data residency requirements
Popular Resources
| Resource | Topic |
|---|---|
| AWS vs Azure vs GCP comparison | Cloud comparison guide (see Fundamentals) |
| Terraform Documentation | Infrastructure as Code across clouds |
| Kubernetes Multi-Cloud | Container orchestration everywhere |
| FinOps Foundation | Cloud cost optimization |
Contributing
Know great multi-cloud resources? Submit a PR to help the community learn!