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System Design Masterclass
System DesignAdvanced

System Design Masterclass

Architecture Patterns for Scalable Systems

Learn how to design systems that handle millions of users. From load balancers and caching strategies to database sharding and message queues — the complete guide to distributed systems design.

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3 lessons

Content pieces

⏱️

1h 10m read

Total time

📂

2 sections

Organized chapters

What You'll Learn

Design systems that scale to millions of concurrent users
Choose the right database architecture for different use cases
Implement effective caching strategies at every layer
Understand trade-offs in distributed system design
Apply consistency patterns (strong, eventual, causal)
Design for failure with redundancy and failover

Course Content

2 sections • 3 lessons

1

Fundamentals

Core concepts every system designer must understand.

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1.1

Scalability Principles

The fundamental principles that govern how systems scale — vertical vs horizontal, stateless design, and the CAP theorem.

article20 min read
2

Deep Dives

Detailed explorations of critical system design topics.

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2.1

Caching Strategies in Depth

From CDNs to application-level caches to database query caches — a comprehensive guide to caching at every layer of the stack.

ebook30 min read
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2.2

Database Scaling Patterns

Replication, sharding, partitioning, and when to use each. Scale your database to handle millions of queries.

article20 min read

Your Instructor

E

Elena Kowalski

Course Author

Staff Engineer specializing in distributed systems. Designed infrastructure at scale for social media and e-commerce platforms serving millions of users.

Start Learning

Prerequisites

  • Solid understanding of web application architecture
  • Experience building and deploying web applications
  • Basic understanding of databases and networking

Topics

ArchitectureScalabilityDistributed SystemsDatabasesCaching

Last updated: February 15, 2026