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.

Active-active gives you better hardware utilization and faster failover than active-passive. What's the cost?

You must handle write conflicts that are impossible in active-passive, and consistency is weaker, In active-passive, one node writes, so conflicts can't happen. In active-active, both nodes write, so concurrent modifications to the same data create conflicts that must be detected and resolved. You also get eventual consistency instead of strong consistency.

Your active-active system uses last-write-wins conflict resolution. User A updates their address at timestamp T=100, User B updates it at T=101. Which address does the system keep?

User B's. T=101 is later, so the 'last write' wins, Last-write-wins compares timestamps and keeps the latest one. User B's write at T=101 beats User A's at T=100. User A's address is silently discarded. This is fast and automatic, but the user whose data was overwritten gets no notification.

The replication link between your two active-active nodes fails for 30 minutes. Both nodes continue accepting writes. What happens when the link recovers?

A burst of conflicts must be resolved for every entity that was modified on both nodes during the outage, This is the split-brain recovery scenario. Both nodes diverged for 30 minutes. When the link recovers, all changes from both sides replicate to the other. Any entity modified on both sides during the split is a conflict that needs resolution. LWW, merge, or manual review depending on your strategy.

Your active-active conflict rate suddenly jumps from 0.001% to 2%. What's most likely the cause?

Write affinity routing is broken, writes that should go to a specific node are hitting both nodes, A 200x jump in conflict rate almost always means the affinity routing broke. Writes that should be routed to a specific node are landing on both nodes, causing concurrent modifications to the same entities. Check the load balancer configuration and routing logic immediately.

Active-Active Configuration

Name: System Design Masterclass
Availability: InStock

in Data Replication Distribution

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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