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.

Why is a shared cache (like Redis) better than local caches when you have multiple application instances?

All instances read from the same cache, so data fetched by one benefits all, The core advantage is shared state. When Server 1 caches a user profile in Redis, Server 2 can use that cached copy instead of querying the database again. With local caches, each server independently fetches and caches, wasting work.

You have 10 app servers, each handling 100 requests/second. Without a shared cache, each server independently queries the DB for the same popular product page. With Redis, how does the load change?

The DB sees roughly 1 query per TTL period instead of 1000/second, With a shared cache, only the first miss triggers a database query. All subsequent requests, across all 10 servers, get cache hits from Redis. Instead of 1000 requests/second hitting the DB, it's roughly 1 per TTL period (the first miss after each expiration). That's a massive reduction.

When would you choose Memcached over Redis?

When you have a pure caching workload and need multi-threaded performance, Memcached's strength is its simplicity and multi-threaded architecture. For a pure caching workload where you just need fast key-value storage and nothing else, Memcached's multi-threaded design can outperform single-threaded Redis under high concurrency. For anything beyond pure caching, Redis wins.

Application-Level Caching

Name: System Design Masterclass
Availability: InStock

in Caching Strategies

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.”

Anish K., Senior Engineer at a Bengaluru startup

All 766 interactive lessons

Step-by-step animated diagrams

Live code editors with real execution

Quizzes with instant feedback

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