What is the difference between fault tolerance and high availability?

System design interviewers love to ask:

“What’s the difference between fault tolerance and high availability?”

At first glance, they sound the same. But they describe two levels of resilience in distributed systems — one prevents failure from happening, the other minimizes its impact.

1️⃣ Quick definition to use in interviews

  • Fault tolerance → The system continues operating even if a component fails.
  • High availability (HA) → The system recovers quickly when a failure occurs.

In short:

Fault tolerance = No downtime at all. High availability = Minimal downtime.

2️⃣ Example that interviewers understand easily

Imagine you’re running a flight booking system:

  • If one server dies and users never notice → that’s fault tolerance.
  • If one server dies, users see a 5-second retry before it switches over → that’s high availability.

Both designs ensure reliability, but the tolerance approach costs more and is used where downtime is unacceptable (e.g., healthcare, finance).

3️⃣ How they work under the hood

ConceptFault ToleranceHigh Availability
GoalZero disruptionMinimal disruption
TechniqueRedundancy + replicationFailover + monitoring
Downtime allowedNoneSeconds to minutes
ExampleDual power supplies, active-active DBAuto-scaling, load balancer failover
CostHigherModerate

🔗 Read: High Availability System Design Basics

4️⃣ How to design for both in interviews

If asked “How would you make this system fault tolerant?”, mention:

  • Replication across zones (multi-AZ or multi-region)
  • Active-active architecture
  • Stateless app servers behind a load balancer
  • Automatic failover for databases
  • Health checks and retry logic

And follow up with:

“If 100% fault tolerance isn’t cost-effective, I’d aim for 99.99% availability with fast failover.”

This shows pragmatic engineering judgment — something interviewers value deeply.

🔗 Related: Data Replication Strategies in System Design

5️⃣ Example phrase to use during interviews

When comparing systems:

“Our chat app can tolerate a single server failure without user impact — that’s fault tolerance. But if an entire region goes down and the system recovers in seconds, that’s high availability.”

This makes your answer crisp, memorable, and technically correct.

💡 Interview Tip

End your answer with something like:

“I’d combine both — build for high availability first, then make critical components fault tolerant.”

This demonstrates layered thinking and real-world prioritization.

🎓 Learn More

Strengthen your reliability and failover skills inside 👉 Grokking the System Design Interview and Grokking System Design Fundamentals. Both include diagrams and examples showing how companies like Netflix and Amazon achieve fault tolerance.

TAGS
System Design Interview
System Design Fundamentals
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