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What I learned from Facebook system design interview courses after failing multiple times

When I first dove into Facebook’s system design interview courses, I felt like I was stepping into the deep end without a life vest. The problem? System design interviews are famously broad and open-ended, and Facebook’s expectations? High. What follows is my personal journey—failures, insights, and actionable strategies—that helped me turn confusion into clarity. If you’re prepping for your system design interview or simply want to master scalable system thinking, these lessons are for you.


1. Embrace Ambiguity: Learn to Own the Undefined

During my first mock interview, I froze. The prompt was something like, “Design Instagram’s photo-sharing backend.” It felt overwhelming: What scale? Which features? What trade-offs?

Why this happens: Facebook interviewers purposefully leave questions open-ended to evaluate your problem framing, assumptions, and communication skills.

What I learned:

  • Start by clarifying requirements. Ask questions like: “Are we targeting global scale or a regional rollout?” or “What’s the expected read/write ratio?”
  • Nail down scope early—avoid trying to solve every edge case upfront.
  • Explicitly state your assumptions instead of waiting for confirmations.

(Pro tip): Use the “4Ws and 1H” approach: Who are the users? What are the key features? When do they happen? Where will it be deployed? How should the system respond under load?

Takeaway: Ambiguity isn’t your enemy—it’s your canvas. Own it by structuring the unknown before coding starts.


2. Prioritize Scalability vs. Simplicity — Not Both

When I first read about Facebook’s scale—billions of users, petabytes of data—I assumed I had to design for scale immediately. So, I threw layers of caching, microservices, and distributed databases at my design.

Big mistake.

Why? Over-engineering early sacrifices maintainability and speed of delivery.

What changed? I learned to balance scalability with simplicity by:

  • Starting with a monolithic design or a single data center model
  • Designing vertical and horizontal scaling paths after the MVP
  • Identifying bottlenecks before optimizing; avoid premature scaling

For example, if designing the chat service, focus first on message delivery and consistency before tackling cross-region replication.

Resource: Check out Educative’s “Grokking the System Design Interview” to see breakdowns of MVP-first scalable designs.

Lesson: Start small, scale smart, and guarantee that each system component can evolve without massive rewrites.


3. Master the Building Blocks: Storage, Caching, Messaging, and Load Balancing

Facebook interviewers expect fluency in core architectural components.

During my early prep, I realized I was shaky on:

  • Choosing between SQL and NoSQL databases
  • When to add caching layers (and what to cache)
  • Designing asynchronous pipelines with message queues (Kafka, RabbitMQ)
  • Implementing load balancers (round robin, least connections)

I created flashcards for each component with:

  • Pros and cons
  • Common use cases
  • Real-world examples from Facebook’s infrastructure such as TAO graph database or Memcached caching
  • Tradeoffs between consistency, availability, and partition tolerance (CAP theorem)

(Solution): Use diagrams to walk interviewers through synchronous vs. asynchronous workflows or cache invalidation strategies.

Actionable insight: Know your tools deeply, but don’t just memorize — be ready to justify your choices based on requirements.


4. Always Design for Failures and Edge Cases

In one mock, I missed designing for failure modes — what happens if a database goes down? The interviewer nudged me: “How does your design handle partial outages?”

That moment stung, but it was a huge learning opportunity.

Here’s how I improved:

  • Added retry and circuit breaker patterns
  • Embraced redundancy with multi-region replicas
  • Planned fallback mechanisms (like read-only mode)
  • Discussed monitoring and alerting to detect failures early

Real-world nod: Facebook’s high-availability model profits from self-healing systems that gracefully degrade under load.

Lesson: Scalable design means not just handling success paths but engineering resilience for inevitable failures.


5. Communicate Clearly and Iterate

Let me be honest: I bombed some interviews because I talked too fast or too vaguely. Interviewers can’t read your mind.

How I fixed this:

  • Paused regularly to summarize what I’d proposed so far
  • Asked, “Does this make sense?” and “Should I dig deeper here?”
  • Wrote clear diagrams and sketched architecture layers on virtual whiteboards
  • Iterated design based on feedback instead of clinging to my first idea

This dialogue creates a collaborative environment. It’s not just an interrogation—it’s a design partnership.

Resource: DesignGurus.io offers videos emphasizing communication skills during system design interviews.


6. Practice Real Interview Questions and Mock Sessions Religiously

Reading posts and watching videos wasn’t enough. I had to do.

I used ByteByteGo’s curated question bank and simulated interviews with peers from my dev community.

Sample prompts I repeatedly tackled:

  • Design Facebook News Feed
  • Design Messenger
  • Design a social graph service
  • Design rate limiter API for Facebook Ads

Each session taught me to:

  • Think on my feet
  • Manage time wisely (avoid spending too long on a single component)
  • Present trade-offs
  • Get comfortable with partial solutions

Takeaway: Confidence breeds competence. Realistic practice makes your approach intuitive.


7. Learn from Failures — Your Growth Engine

I didn’t get Facebook’s offer after my first two rounds. Frustrating as hell.

But reviewing feedback taught me invaluable lessons: system design is a craft, honed by relentless learning and adaptation.

I journaled my mistakes, reread my diagrams, and sought mentorship. Slowly, my designs became cleaner, more thoughtful, and scalable.

Growth mindset: Every stumble is an opportunity. The best engineers I know flex their failures for future wins.


Final Thoughts

If you’re preparing for Facebook system design interviews, remember this: you’re learning a complex language—one that blends tech knowledge, critical thinking, and communication.

  • Embrace the unknown
  • Build from core components
  • Balance trade-offs
  • Plan for failures
  • Communicate with clarity
  • Practice intentionally
  • Reflect on your journey

You’re closer than you think. Keep pushing.


Resources to Level Up


Your next interview is less a test and more a storytelling session, where your engineering judgment shines. I hope my experience helps you tell that story well. Good luck out there!

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