TechLead
System Design
ScalabilityDistributed SystemsInterview PrepReal-World Design

Master system design from fundamentals to production architectures. Learn to design scalable, reliable, and maintainable distributed systems.

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Learn System Design - Scalable Systems & Interview Preparation

Master system design from core concepts to real-world architectures. Learn scalability patterns, load balancing, caching, database sharding, and walk through complete designs of systems like URL shorteners, chat applications, video streaming platforms, and payment systems. Perfect for interview preparation and building production systems.

Prerequisites

Before diving into system design, you should have a solid understanding of programming fundamentals, basic networking concepts, and databases. Experience with building web applications will help you relate to the concepts discussed.

What You'll Learn

  • Scalability fundamentals & patterns
  • Load balancing algorithms & strategies
  • Caching at every layer
  • Database sharding & replication
  • CAP theorem & distributed consensus
  • Message queues & event streaming
  • Design real-world systems end-to-end
  • System design interview framework
  • Trade-off analysis & decision making
  • Monitoring & observability

Course Topics

Lesson 1
Beginner
20 min
Fundamentals of System Design
Learn the fundamentals of system design including scalability, reliability, availability, and how to approach system design interviews
Lesson 2
Beginner
18 min
Scalability Fundamentals
Master scalability fundamentals including vertical vs horizontal scaling, stateless services, database scaling, and real-world scaling strategies
Lesson 3
Intermediate
20 min
Load Balancing Deep Dive
Deep dive into load balancing algorithms, L4 vs L7 load balancers, health checks, and configuration examples with Nginx, HAProxy, and AWS ELB
Lesson 4
Intermediate
22 min
Caching Strategies
Master caching strategies including cache-aside, read-through, write-through patterns, eviction policies, Redis vs Memcached, and cache invalidation
Lesson 5
Intermediate
20 min
Database Sharding
Learn database sharding strategies including hash-based, range-based, and directory-based sharding, consistent hashing, and real-world examples from Instagram and Discord
Lesson 6
Intermediate
18 min
CAP Theorem Explained
Understand the CAP theorem with real-world examples, learn CP vs AP system trade-offs, PACELC extension, and how to choose the right consistency model
Lesson 7
Advanced
20 min
Consistent Hashing
Learn how consistent hashing works, why it solves the rehashing problem, virtual nodes for balance, and implement it in TypeScript with real-world use cases
Lesson 8
Intermediate
22 min
Message Queues and Event Streaming
Master message queues and event streaming with Kafka, RabbitMQ, and SQS comparisons, delivery guarantees, dead letter queues, and architectural patterns
Lesson 9
Intermediate
20 min
API Gateway Design
Learn API gateway design patterns including routing, authentication, rate limiting, request transformation, circuit breaker, and comparisons of Kong, AWS, and Nginx
Lesson 10
Intermediate
20 min
Rate Limiting Algorithms
Master rate limiting algorithms including token bucket, leaky bucket, fixed window, sliding window, and distributed rate limiting with TypeScript implementations
Lesson 11
Intermediate
18 min
Content Delivery Networks (CDN)
Learn how CDNs work including push vs pull strategies, edge caching, invalidation, TTL, and multi-CDN architectures for scalable content delivery
Lesson 12
Intermediate
20 min
Database Replication Strategies
Master database replication including master-slave, multi-master, synchronous vs async replication, consistency models, and conflict resolution
Lesson 13
Intermediate
22 min
SQL vs NoSQL at Scale
Compare SQL and NoSQL databases at scale including ACID vs BASE, document stores, key-value, column-family, and graph databases with decision frameworks
Lesson 14
Intermediate
25 min
System Design: URL Shortener
Design a URL shortener service like Bitly covering requirements, database schema, encoding strategies, read optimization, and analytics tracking
Lesson 15
Advanced
25 min
System Design: Social Media Feed
Design a social media feed like Twitter covering fan-out strategies, timeline generation, caching, media storage, and scaling for millions of users
Lesson 16
Advanced
25 min
System Design: Chat Application
Design a real-time chat application covering WebSocket connections, message storage, group chats, presence systems, and end-to-end encryption
Lesson 17
Advanced
22 min
System Design: Notification System
Design a scalable notification system covering push, SMS, email, and in-app notifications with priority queues, rate limiting, and delivery tracking
Lesson 18
Advanced
25 min
System Design: Video Streaming Platform
Design a video streaming platform like YouTube covering upload pipelines, transcoding, adaptive bitrate streaming, CDN delivery, and cost optimization
Lesson 19
Advanced
22 min
System Design: Search Autocomplete
Design a search autocomplete system using trie data structures, ranking algorithms, caching strategies, and real-time query processing at scale
Lesson 20
Advanced
22 min
System Design: Distributed Cache
Design a distributed caching system covering consistent hashing, replication, eviction policies, cache stampede prevention, and monitoring strategies
Lesson 21
Advanced
25 min
System Design: Payment System
Learn how to design a scalable payment system covering processing flows, idempotency, PCI-DSS security, and double-entry ledger accounting.
Lesson 22
Advanced
25 min
System Design: Ride-Sharing Service
Design a ride-sharing service like Uber or Lyft covering driver matching, geospatial indexing, ETA calculation, and surge pricing algorithms.
Lesson 23
Advanced
25 min
System Design: E-Commerce Platform
Design a scalable e-commerce platform covering product catalog, cart architecture, inventory management, order processing, and scaling for peak traffic.
Lesson 24
Beginner
18 min
Back-of-the-Envelope Estimation
Master back-of-the-envelope estimation for system design interviews with latency numbers, throughput calculations, and storage estimation techniques.
Lesson 25
Intermediate
20 min
Data Partitioning Strategies
Explore data partitioning strategies including horizontal and vertical partitioning, key-based and range-based sharding, and hot spot mitigation.
Lesson 26
Advanced
25 min
Distributed Consensus Algorithms
Understand distributed consensus algorithms including Paxos, Raft, leader election, and log replication used in ZooKeeper and etcd.
Lesson 27
Intermediate
20 min
Event-Driven Architecture
Learn event-driven architecture patterns including event sourcing, CQRS, event buses, and when to use event-driven design in distributed systems.
Lesson 28
Intermediate
22 min
Monitoring and Observability
Master monitoring and observability with the three pillars: logs, metrics, and traces. Learn about Prometheus, Grafana, alerting, SLOs, and dashboards.
Lesson 29
Beginner
20 min
System Design Interview Framework
A complete framework for acing system design interviews with step-by-step methodology, estimation techniques, and common mistakes to avoid.
Lesson 30
Intermediate
20 min
Trade-offs in System Design
Master trade-off analysis in system design covering consistency vs availability, SQL vs NoSQL, monolith vs microservices, and decision frameworks.

Frequently Asked Questions

What is system design?

System design is the process of defining the architecture, components, modules, interfaces, and data flow of a system to satisfy specified requirements. It involves making high-level decisions about scalability, reliability, and performance for distributed systems that can handle millions of users and massive amounts of data.

How to prepare for system design interviews?

To prepare for system design interviews, start by learning core concepts like load balancing, caching, database sharding, and message queues. Practice designing real-world systems such as URL shorteners, chat applications, and video streaming platforms. Use a structured framework: clarify requirements, estimate scale, design high-level architecture, then dive into component details.

What are the key system design concepts?

The key system design concepts include scalability (horizontal vs vertical), load balancing, caching strategies, database sharding and replication, CAP theorem, consistent hashing, message queues, API gateway design, and rate limiting. Understanding these building blocks allows you to architect systems that are scalable, reliable, and maintainable.

How long does it take to learn system design?

Learning system design fundamentals typically takes 4-8 weeks of dedicated study. Mastering the subject to confidently design complex distributed systems and pass system design interviews usually takes 3-6 months of consistent practice. Building real-world experience through hands-on projects and production systems accelerates learning significantly.

Ready to Master System Design?

Start with the fundamentals and work your way through real-world system designs. Whether you're preparing for interviews or building production systems, this course has you covered.

Start Learning System Design →