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 can a GC pause break a distributed lock?

The client's process freezes, the lock expires, another client acquires it, then the original client resumes thinking it still holds the lock, During a GC pause, your process is completely frozen, it can't renew the lock, check the clock, or do anything. If the pause exceeds the lock's TTL, the lock expires. Another process acquires it. When your process resumes, it has no idea the lock expired and proceeds to access the shared resource, violating mutual exclusion.

How does a fencing token prevent the GC pause problem?

The storage system rejects writes from clients with outdated tokens, so a stale lock holder's writes are blocked, Each lock acquisition gets a monotonically increasing token. Client A gets token 33, pauses, lock expires, Client B gets token 34. B writes with token 34. When A wakes up and tries to write with token 33, the storage rejects it because 33 < 34. The data stays safe.

When is Redlock appropriate to use?

For efficiency locks where double-execution wastes resources but doesn't cause data corruption, Redlock is fast and works well for 'efficiency' locks, preventing duplicate work, cron job deduplication, rate limiting. If the lock fails and two workers process the same job, it's wasteful but not dangerous. For 'correctness' locks where double-execution causes data corruption, use ZooKeeper or etcd with fencing tokens.

Distributed Locks

Name: System Design Masterclass
Availability: InStock

in Distributed Systems Core

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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