Modern systems power everything, from streaming platforms serving billions of users to e-commerce sites processing millions of orders per second. Yet, the core principles of scalability behind these systems are surprisingly simple once you understand the foundations.

Grokking Scalable Systems helps you build that foundation step by step.

The course turns intimidating distributed system concepts into clear, visual, and interview-focused lessons that connect real-world challenges with practical design patterns.

You’ll learn how to:

1. Understand load balancing, caching, databases, and sharding — the essential tools that make systems scale.

2. Explore messaging, observability, and reliability to keep large systems efficient and fault-tolerant.

3. Use Little’s Law and quick estimation methods to reason about throughput, latency, and capacity.

Each topic is explained through real-world examples, helping you link theory with how big companies like Google or Netflix design and maintain their systems.

By the end, you’ll be able to:

• Analyze scalability and performance trade-offs confidently.
• Design architectures that scale to millions of users.
• Explain complex topics like consistency, replication, and fault tolerance in interviews or at work.

Whether you’re preparing for FAANG-level system design interviews or aiming to level up as a backend or distributed systems engineer, this course gives you the mindset and intuition of a true systems architect.