Cloud Strategy: Scenario-Based Questions

Vendor lock-in refers to the difficulty of moving away from a specific cloud provider due to reliance on proprietary services. Mitigating lock-in involves designing with portability and abstraction in mind.

🔗 Lock-In Triggers

• Use of proprietary APIs (e.g., BigTable, DynamoDB, Lambda)
• Tight coupling to IAM, networking, or managed services
• No infrastructure abstraction or IaC portability

🧰 Design Strategies

• Use open-source or cross-cloud tools (e.g., PostgreSQL over Cloud SQL)
• Abstract infra with tools like Terraform, Pulumi
• Use containerization and orchestration (e.g., Docker + Kubernetes)
• Design APIs and logic to support backend swapping

📦 Abstraction Layers

• Wrap provider SDKs in your own service interfaces
• Use Envoy, OpenTelemetry, or OpenAPI to decouple observability and APIs
• Adopt cloud-agnostic CI/CD platforms (e.g., GitHub Actions, Argo CD)

✅ Best Practices

• Evaluate multi-cloud feasibility vs. complexity
• Choose open standards (e.g., S3-compatible storage)
• Run critical services in a portable format (e.g., containers, Helm charts)

🚫 Common Pitfalls

• Overengineering portability at the cost of velocity
• No fallback plan if a service becomes deprecated
• Assuming multi-cloud ≠ lock-in — both require design discipline

📌 Final Insight

Avoiding lock-in is a strategic choice. Balance pragmatism and portability — abstract where it matters, but don’t reinvent the wheel unless you must.