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
| Concept | Fault Tolerance | High Availability |
|---|---|---|
| Goal | Zero disruption | Minimal disruption |
| Technique | Redundancy + replication | Failover + monitoring |
| Downtime allowed | None | Seconds to minutes |
| Example | Dual power supplies, active-active DB | Auto-scaling, load balancer failover |
| Cost | Higher | Moderate |
🔗 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.
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