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.

In write-through caching, when is a write acknowledged to the application?

After both the cache and the database have been successfully updated, Write-through waits for both the cache write and the database write to complete before acknowledging success. This is what provides the consistency guarantee, the cache and database are always in sync when the application sees a successful write.

What is the main disadvantage of write-through compared to cache-aside?

Write-through has higher write latency because every write goes to both cache and database, Every write in a write-through system hits two stores, the cache and the database. This increases write latency compared to cache-aside, where writes only go to the database (and the cache entry is simply deleted). The trade-off is stronger consistency.

You're building an analytics pipeline that writes millions of events per hour, but these events are rarely read. Which caching strategy is more appropriate?

Cache-aside, because it avoids caching data that's never read, Write-through would cache every analytics event, wasting cache memory on data that nobody reads. Cache-aside only caches data when it's actually requested (on a read miss), so rarely-read data never enters the cache. For write-heavy, read-light workloads, cache-aside avoids the write amplification problem.

Write-Through Cache

Name: System Design Masterclass
Availability: InStock

in Caching Strategies

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