Grokking Scalable Systems for Interviews
Learn how FAANG engineers design systems that handle billions of users - from caching and sharding to observability and fault tolerance.
Course Overview
This course is the next step in our System Design Learning Path. If you have already taken "Grokking the System Design Interview" and strengthened your foundation with "Grokking System Design Fundamentals", it’s time to take your skills to the next level with Grokking Scalable Systems for Interviews, an advanced system design course focused on building and scaling real-world distributed systems. Every FAANG-level engineer knows this secret: designing systems that work is easy, designing systems that scale is what separates good engineers from great ones. Grokking Scalable Systems teaches you how to design large-scale architectures that stay fast, reliable, and fault-tolerant under real-world traffic. You’ll go far beyond interview theory - exploring how distributed systems, caching, replication, load balancing, observability, and security all come together in production. Through bite-sized lessons, diagrams, and real-world examples, you’ll finally understand the trade-offs that power every major tech system, from Netflix’s streaming pipelines to Instagram’s feed.
What you'll learn in Grokking Scalable Systems for Interviews
- Learn how to design scalable, fault-tolerant systems that can handle millions of users.
- Understand distributed system concepts like consistency, quorum, and message delivery semantics.
- Gain real-world insights into observability, deployments, and graceful degradation.
- Master caching, sharding, and replication to boost performance and reliability at scale.
- Build resilient APIs with idempotency, rate limiting, retries, and backoff strategies.
- Think like a senior engineer: make trade-offs between consistency, latency, and availability with confidence.
Course Content
Caching
API Basics
What are the Main API Pagination Strategies (offset, cursor, keyset), and When Should I Use Each?
What are HTTP Conditional Requests (ETag, If‑None‑Match, Last‑Modified) and How They Reduce Load?
What Is the Difference between Rate Limiting and Throttling and Quotas?
What Are Idempotency Keys and How to Implement Them Safely for Payments
Databases
What are SQL Isolation Levels (Read Committed, Repeatable Read, Serializable), and What Anomalies Do They Prevent?
What Is a Write‑Ahead Log (WAL), and How Does It Ensure Durability?
What Is the Difference Between Synchronous and Asynchronous Replication, and When Should I Use Read Replicas?
What Is MVCC (Multi‑Version Concurrency Control), and How Does It Enable Concurrent Reads and Writes?
What Are Safe Patterns for Online Schema Changes vs. Offline Migrations?
Sharding and Partitioning
Messaging and Streaming
What Do At‑most‑once, At‑least‑once, And Exactly‑once Delivery Semantics Mean?
What Are Idempotent Producers And Consumers, And How Do De‑duplication Keys Work?
What Is Message Ordering, How Do Partition Keys Affect It, And When Can Ordering Break?
What Are Windowing And Watermarking In Streaming Systems, In Simple Terms?
Consistency and Replication
Security
What Are The Trade‑offs Between Server‑stored Sessions And JWTs for Authentication?
What Is The Difference Between TLS And MTLS, And When Is MTLS Appropriate For Service‑to‑service Auth?
What Is Secrets Management, And How Do Environment Variables, KMS, And Vault Compare?
What Is A Replay Attack, And How Is It Different from Idempotency Issues?
Time and IDs
Conclusion
What people say about our courses
About the Author
Arslan Ahmad
Industry Expertise & Leadership
Arslan Ahmad is the lead author of Grokking Scalable Systems for Interviews. As the founder of Design Gurus and a former FAANG hiring manager, he has worked at industry giants like Facebook (now Meta) and Microsoft.
He has conducted hundreds of system design interviews, giving him unique insight into what top tech companies look for in candidates.
The course also incorporates expertise from senior engineers at Google, Meta, Amazon, Microsoft, and Uber, ensuring you learn system design best practices from professionals who have built and scaled real-world systems.
500+
Interviews Conducted
10k+
Students Taught
Related Courses
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FAQs
What is Grokking Scalable Systems?
Grokking Scalable Systems is an system design course that teaches you how to build and scale distributed systems like those used at Google, Netflix, and Amazon, covering caching, sharding, load balancing, replication, observability, and more.
Who should take this course?
This course is designed for software engineers, backend developers, and architects preparing for senior-level system design interviews or building large-scale production systems in their day-to-day work.
How is this course different from Grokking the System Design Interview?
While "Grokking the System Design Interview" focuses on interview problem-solving frameworks, "Grokking Scalable Systems for Interviews" dives deeper into the real-world engineering principles behind scalable architectures, including performance, reliability, and fault tolerance.
Do I need to complete any other courses before this one?
It’s recommended to first take "Grokking System Design Fundamentals" and "Grokking the System Design Interview", which build your foundation for the advanced topics covered in "Grokking Scalable Systems for Interviews".
What topics are covered in Grokking Scalable Systems?
You’ll learn scalability principles, load balancing, API design, database internals, sharding and caching strategies, distributed messaging, consistency models, observability, and deployment reliability; all explained with real-world scenarios.
Will this course help me in system design interviews at FAANG companies?
Absolutely. This course bridges the gap between interview theory and production reality, helping you confidently answer advanced system design questions and discuss scalability trade-offs in FAANG and top tech company interviews.
