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 normalizer pattern solve?

Converting messages from multiple different formats into a single common format so downstream services only handle one structure, The normalizer eliminates format diversity. Instead of every downstream service parsing JSON, XML, CSV, and Protobuf, the normalizer converts all incoming messages to one common format. Downstream services only need one parser.

You need to integrate a new data source that sends Protobuf messages. What changes are needed?

Add a Protobuf translator to the normalizer, zero changes to downstream services, The normalizer's power: add a new translator for the new format, and the output is the same common format every downstream service already understands. No downstream changes needed. This is the Open/Closed principle applied to data integration.

Normalizer Pattern

Name: System Design Masterclass
Availability: InStock

in Messaging Event Systems

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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Foundation lessons free, try before you buy

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India

₹999₹499/lifetime

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Foundation lessons free, try before you buy

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

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All 766 interactive lessons

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