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.

Your Prometheus instance is running out of disk. You currently keep 15-second resolution data for 90 days. What's the most effective fix?

Implement downsampling, keep 15-second resolution for 2 weeks, then downsample to 1-minute or 5-minute resolution for older data, Downsampling is the standard approach for balancing resolution and storage. Recent data stays at full resolution for debugging active issues. Older data gets aggregated into coarser intervals, you lose the ability to see 15-second spikes from a month ago, but you keep the trends and patterns that actually matter for historical analysis.

You add a 'customer_id' label to your request latency metric. You have 200,000 customers. What's the consequence?

Each customer creates a separate time series, potentially generating millions of series that overwhelm the TSDB, High-cardinality labels like customer_id are the #1 killer of time-series databases. With 200K customers and even 3 HTTP methods and 5 status codes, you'd create 200K x 3 x 5 = 3 million time series from a single metric. Use logs or tracing for per-customer data, not metric labels.

Time-Series Metrics

Name: System Design Masterclass
Availability: InStock

in Observability Monitoring

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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India

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Foundation lessons free, try before you buy

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

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All 766 interactive lessons

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