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 does the flag SDK evaluate rules locally instead of calling the flag service on every request?

A network call on every request would add unacceptable latency at scale, A service checking 50 flags per request would pay 50 network round trips if evaluation were remote. Local evaluation against an in-memory cache keeps the cost under a millisecond total.

What is the primary resilience advantage of feature flags over a traditional rollback pipeline?

A kill switch disables the bad code path in seconds without a redeploy, A traditional rollback requires a pipeline run that takes minutes. A kill switch flips traffic to the old code path within seconds of the flag change propagating to all SDK instances.

A risky new code path has a flag. The SDK loses connectivity to the flag service. What should the flag default to?

OFF, so a network partition does not accidentally enable risky code for everyone, Fail-closed for risky features. If the SDK cannot confirm the flag state, it should fall back to the safe default. A safety feature like a rate limiter would default to ON instead.

What is the biggest operational risk of a feature flag program that does not enforce cleanup?

Stale flags create hidden code branches that make testing exponentially harder, Every flag is a branch in the code. N flags create 2^N possible combinations. Uber reported over 5,000 stale flags in their monorepo. Without cleanup enforcement, the combinatorial complexity makes reasoning about the code nearly impossible.

Feature Flags for Resilience

Name: System Design Masterclass
Availability: InStock

in Reliability Resilience

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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