Explain Multi-cloud vs Hybrid Cloud.

Multi-cloud means using services from multiple public cloud providers, while hybrid cloud integrates on-premises/private cloud with one or more public clouds.

When to Use

  • Multi-cloud:

    • Avoid vendor lock-in.
    • Use best-of-breed services (e.g., GCP BigQuery + AWS Lambda).
    • Global availability and redundancy.
  • Hybrid cloud:

    • Regulatory or compliance needs.
    • Legacy systems that must remain on-prem.
    • Low-latency workloads requiring local presence.

Example

An e-commerce site keeps payment data on-prem (compliance), scales front-end traffic in AWS, and analyzes customer behavior with GCP BigQuery.

Want to practice these trade-offs hands-on? Check out Grokking System Design Fundamentals, Grokking the Coding Interview, or book Mock Interviews with ex-FAANG engineers.

Why Is It Important

Choosing the right model impacts resilience, cost, compliance, and agility. Many FAANG interviewers test how you map requirements to cloud models.

Interview Tips

  • Start with definitions.
  • Map to constraints: compliance, cost, latency, control.
  • Discuss identity, networking, observability, and failover.
  • Wrap up with risks and trade-offs.

Trade-offs

  • Multi-cloud: Resilience & choice but complex ops & egress fees.
  • Hybrid: Compliance & control but slower agility & higher overhead.

Pitfalls

  • Thinking multi-cloud gives “free portability.”
  • Ignoring cross-cloud latency/egress fees.
  • Inconsistent IAM or policy drift.
  • Underestimating networking and observability challenges.
TAGS
System Design Interview
System Design Fundamentals
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