Is this a video course?

No. This is an interactive, slide-based learning platform. Each lesson has rich text, animated diagrams, live code editors, and quizzes. You learn by reading, interacting, and doing, not by watching videos passively.

How long do I have access?

Forever. Both pricing tiers are one-time payments with lifetime access. This includes all current 766 lessons and any future content we add.

What level of experience do I need?

None. We start from absolute basics like 'What is latency?' and build up to distributed consensus protocols. The Foundation level assumes zero prior knowledge of system design.

How much does the system design course cost?

7.99 US dollars for lifetime access globally, or 499 Indian rupees for lifetime access in India. One-time payment, no subscription, no hidden fees. 11 lessons are free with no signup required.

What technologies are covered?

Everything from DNS and load balancers to Kubernetes, Kafka, distributed databases, consensus protocols, stream processing, security architecture, and observability. We cover principles and real-world implementations used at Netflix, Google, Amazon, Uber, Stripe, and more.

Is this useful for system design interview preparation?

Yes. The lessons are structured around the exact topics asked in system design interviews at FAANG and top-tier companies. Interactive diagrams help you practice whiteboard-style explanations. Covers everything from URL shortener design to distributed payment systems.

How is this different from ByteByteGo or Educative?

766 interactive lessons (4x more than most competitors), 16 different diagram types that build step by step, real production examples from Netflix, Google, Amazon, Uber, and Stripe, and lifetime access for a one-time payment of $7.99 instead of annual subscriptions costing 100 to 200 dollars per year.

What problem does the Backend for Frontend pattern solve?

Different clients (web, mobile, TV) have different data needs, and a single generic API either over-fetches or becomes cluttered with client-specific logic, A web app needs rich, detailed data. A mobile app needs compact, minimal data. A generic API serving both either sends too much data to mobile or too little to web. A BFF for each client type returns exactly the right data, optimized for that client's needs.

Who typically owns and maintains a BFF?

The frontend team, since they best understand their client's data needs and can iterate on the BFF independently, BFF ownership by the frontend team is the core principle. The mobile team knows exactly what data their app needs and how it should be structured. They iterate on the BFF as the app evolves, without coordinating with the backend team for every change.

When should you choose GraphQL over BFF?

When clients just need different subsets of the same data and you do not have client-specific server logic like different auth flows or caching strategies, GraphQL's field selection lets each client request exactly the fields it needs, which solves the over-fetching problem without per-client backends. But if clients need different server-side behavior (different auth, caching, error handling, or transformation logic), BFF gives you that control. GraphQL only solves the 'what data' problem, not the 'how to process it' problem.

What is the biggest operational risk of running multiple BFFs?

Code duplication: shared transformation logic drifts between BFFs, creating subtle behavioral differences that are hard to debug, BFFs share no database, they call the same backend services. But two BFFs often need identical transformation logic (date formatting, price calculation, user permission checks). Without shared libraries, this logic drifts and you get bugs where web shows one price and mobile shows another. Extract common code into libraries both BFFs import.

Backend for Frontend (BFF)

Name: System Design Masterclass
Availability: InStock

in Api Design Protocols

This lesson is part of the full System Design Masterclass. Unlock it along with 765 other lessons for a one-time payment.

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“The interactive diagrams alone are worth way more than the price.”

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