SD SystemDesignConcepts
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Learn System Design Concepts without too much talking.

Ace interviews and master modern system design—fast, with clear, practical lessons.

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Course Introduction
Scalability & Sharding
Caching Strategies
Consistency Models

Key System Design Concepts

1. Scalability Vertical vs Horizontal Q: How will this scale?
2. Latency vs Throughput Trade-offs for optimizing systems
3. CAP Theorem Distributed DB trade-offs
4. Availability vs Consistency Social vs financial systems

⚙️Traffic Handling & Performance
  • Load Balancing: L4 vs L7, health checks
  • Caching: Cache-aside, write-through, TTL
  • CDN: Content delivery for video/images
  • Rate Limiting: Protect APIs from abuse

🗄️Data Layer
  • SQL vs NoSQL: Which DB and why?
  • Database Indexing: Reasons for slow queries
  • Replication: Scaling reads, high availability
  • Sharding: Scaling writes, large datasets
  • Consistency Models: Strong vs eventual

🔄Async & Distributed Systems
  • Message Queues: Decoupling services
  • Event-Driven: Pub/Sub architectures
  • Idempotency: Safe retries
  • Distributed Txns: 2-phase commit basics

🏗️System Architecture
  • Microservices vs Monolith: Common interview Q
  • API Design: REST, versioning, pagination
  • Fault Tolerance: Retries, circuit breakers

Hear From Students

“After this course, I nailed my FAANG interviews. Clear, actionable content.”

Amit S. ex-Amazon

“No fluff, just real interview concepts.”

Sarah T. Startup Engineer

“The only resource I needed for system design prep.”

James C. Google SDE

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FAQ

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How is this different?

No-fluff, practical concepts, real interview questions, and concise explanations.