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.

A mobile event happens at 10:00:15 but arrives at the server at 10:07:00. Which bucket does a processing time tumbling window put it in?

The 10:07 bucket based on when the server received it, Processing time windows use the server wall clock, not the event timestamp. The event lands in whatever bucket the server clock says is current at arrival time, regardless of when the event actually happened.

What causes a Flink pipeline to stop emitting windowed results even though Kafka is still producing events?

One idle Kafka partition stalls the watermark, which prevents all downstream windows from firing, The watermark is the minimum of max_event_ts across all source partitions. If one partition is idle, its watermark never advances, and the minimum stays frozen. All windows downstream of that watermark never fire. The fix is WatermarkStrategy.withIdleness().

What does BoundedOutOfOrderness(Duration.ofSeconds(5)) configure?

The maximum event time delay the watermark tolerates before treating subsequent events as late, BoundedOutOfOrderness sets the allowed lag. The watermark is max_event_ts minus the allowed lag. Events with timestamps older than the watermark are considered late and handled by allowedLateness or side outputs.

Time-Based Windows

Name: System Design Masterclass
Availability: InStock

in Stream Batch Processing

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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“The interactive diagrams alone are worth way more than the price.”

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