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 Caffeine's W-TinyLFU algorithm solve that traditional LRU does not?

LRU only considers recency, not frequency, a scan of many items can evict frequently accessed data, LRU evicts the least recently used item. If a scan reads 10,000 items once each, they all become 'more recent' than your frequently-accessed hot data, pushing it out. W-TinyLFU tracks frequency too, an item accessed 500 times won't be evicted by a one-time scan item, because its frequency score is much higher.

What is the Count-Min Sketch used for in Caffeine?

Estimating how frequently each key is accessed, using minimal memory, The Count-Min Sketch is a probabilistic data structure that provides approximate frequency counts using very little memory. Caffeine uses it to estimate how often each key is accessed, so it can make eviction decisions based on frequency. It might slightly overcount but never undercount, good enough for eviction decisions.

You're migrating a Java application from Guava Cache to Caffeine. What changes are required?

Minimal changes. Caffeine's API was designed as a near-drop-in replacement for Guava Cache, Caffeine was intentionally designed with an API similar to Guava Cache. The migration is mostly changing imports and a few method names. Google themselves recommend Caffeine as the successor to Guava Cache. It's one of the easiest library migrations in the Java system.

Caffeine Cache

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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