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 TCP slow start a problem for short-lived HTTP connections?

The connection finishes before TCP ramps up to full throughput, so data transfers at a fraction of available bandwidth, TCP slow start begins with a 14 KB congestion window and doubles it each round trip. A request that takes 3 round trips total never reaches full speed. Connection reuse (HTTP keep-alive) bypasses this by sending data over an already-warmed connection with a large congestion window.

Why does Google's BBR congestion control algorithm outperform Cubic on long-distance links?

BBR estimates available bandwidth directly and sends at that rate, while Cubic only slows down after packet loss, causing it to permanently underuse bandwidth on links with even 0.1% random loss, Cubic reduces its sending rate when packets are lost, then slowly probes for more capacity. On long-distance links with occasional random loss (even 0.1%), Cubic stays perpetually underutilized. BBR models the bottleneck bandwidth and minimum RTT directly, sending at the optimal rate regardless of occasional loss. Google saw 14% throughput improvement in developing countries after deploying BBR on YouTube.

When should you disable Nagle's algorithm (set TCP_NODELAY)?

For latency-sensitive applications (game servers, trading systems, real-time protocols) where buffering small writes adds unacceptable delay, Nagle's algorithm buffers small writes (under MSS) to combine them into fewer packets. This improves throughput for bulk transfers but adds latency for small, frequent messages. Game servers sending 60 updates per second, trading systems sending individual orders, and SSH sessions all need TCP_NODELAY to avoid buffering delay.

TCP Optimization

Name: System Design Masterclass
Availability: InStock

in Cloud Infrastructure

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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