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 buffer pool (Postgres: shared buffers) in a database?

A region of RAM that stores frequently accessed data pages, The buffer pool is RAM allocated for caching data pages (the 8 KB or 16 KB blocks that contain actual row data and index entries). When a query needs data, the database checks the buffer pool first. A well-tuned instance has 99%+ hit rates, meaning almost all reads come from memory.

Why did MySQL 8.0 remove the query result cache?

Every write invalidated all cached queries for that table, causing more harm than good under write-heavy workloads, MySQL's query cache invalidated ALL cached results for a table whenever that table was written to. Under any significant write load, the cache spent more time invalidating entries than serving them, and the global lock on the cache became a concurrency bottleneck. It hurt performance more than it helped.

A nightly analytics job scans 50 million rows. The next morning, your API response times spike. What likely happened?

The sequential scan evicted hot data from the buffer pool (cache pollution), A full table scan of 50 million rows reads every data page into the buffer pool, evicting the hot, frequently-accessed pages that your API depends on. The next morning, those API queries hit cold cache, buffer pool misses that go to disk instead of memory. This is cache pollution, and it's why analytical workloads should run on read replicas.

Database Query 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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