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.
Go from your first step to master level. Three simple steps, all about System Design at Scale.
Get the basics of System Design at Scale right, and everything after gets easier.
Go past the basics. Advanced System Design at Scale is what sets you apart.
Masters work smart. Grafana + AI Assist can diagnose system issues from logs — in minutes, not hours.