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 Kubernetes Deployment has 10 replicas with maxSurge=25% and maxUnavailable=25%. During a rolling update, what is the minimum number of ready pods guaranteed?

8 pods (10 minus 25% unavailable), maxUnavailable=25% of 10 is 2.5, rounded down to 2. So at most 2 pods can be unavailable, guaranteeing at least 8 ready pods at any point during the rollout. The safety floor is 10 - 2 = 8.

A 5-node database cluster uses Kubernetes rolling updates with default maxUnavailable=25%. Why is this dangerous?

25% of 5 nodes means 1 node unavailable, which can break quorum on a 3-node write quorum (only 4 of 5 are up, and if another fails, quorum is lost), A 5-node cluster with 3-node write quorum tolerates 2 failures. During a rolling update with 1 pod unavailable, the tolerance drops to 1. Any additional failure during the rollout window causes quorum loss. Set maxUnavailable to 0 for quorum-sensitive workloads.

New pods in a rolling deployment report ready immediately but crash under production load 30 seconds later. What is the root cause?

The readiness probe checks only that the process is running, not that the pod can actually handle production traffic (connection pools, caches, JIT warmup), A readiness probe that just checks process liveness lets cold pods join the service endpoint before warmup completes. Production traffic hits unwarmed connection pools and caches, causing failures. The probe should verify actual serving capability.

progressDeadlineSeconds is set to 600 (default). A new image has a bug that makes pods crash-loop. What happens?

After 600 seconds of no progress, the deployment is marked failed and the operator is alerted, while old pods continue serving, The progress deadline is a timeout on forward progress. If no new pod reaches ready within 600 seconds, the controller marks the deployment as failed. Old pods continue serving (they are not affected). The operator must manually run kubectl rollout undo to complete the rollback.

Rolling Deployments

Name: System Design Masterclass
Availability: InStock

in Reliability Resilience

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