Master distributed systems architecture. Learn scalability, sharding, caching strategies, and the CAP theorem to design high-traffic applications.
System Design is the gatekeeper for Senior and Staff engineering roles. This course teaches you to architect systems that handle millions of users. You will master core concepts like Load Balancing, Database Sharding, Caching patterns (Write-through vs Write-back), and Asynchronous Messaging. We dissect real-world architectures of companies like Netflix, Uber, and Twitter to understand trade-offs in Consistency, Availability, and Partition Tolerance (CAP Theorem).
Estimated completion time: 21 lessons • Self-paced learning • Lifetime access
No, focuses on high-level architecture and diagrams.
Yes, specifically targets FAANG system design interviews.
Yes, requires broad knowledge of full-stack tech.
Concepts apply to AWS, Azure, GCP, or on-prem.
3 recommended paths based on what you're learning
The natural next step after System Design at Scale? Becoming a Embedded Architect.
People who combine System Design at Scale with Observability tend to stand out. Here's how.
Semgrep AI can catch security bugs before they ship. It's like having an assistant on speed dial.