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 is the primary advantage of a remote cache over a local cache in a multi-server environment?

All application instances share the same cache, ensuring consistency after invalidation, The key benefit is consistency across instances. When one server invalidates a cache entry, all servers see the invalidation because they share the same remote cache. With local caches, each server has its own copy, and invalidation on one server doesn't affect the others.

In an L1/L2 caching setup (local cache + Redis), what is the main challenge?

The local cache can serve stale data because it doesn't know when another server updates Redis, When Server A updates a key in Redis, Server B's local cache still has the old value. The local cache doesn't automatically sync with Redis. Solutions include short local TTLs, pub/sub invalidation, or accepting brief staleness. This is the core trade-off of multi-layer caching.

A typical Redis round-trip on the same availability zone takes approximately:

0.5-2 milliseconds, A Redis round trip within the same availability zone typically takes 0.5-2 milliseconds. This is 100-1000x slower than a local cache read (nanoseconds) but 10-100x faster than a typical database query (5-50ms). Remote caches occupy the middle ground in the performance spectrum.

Remote 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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