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.

What does concurrencyPolicy: Forbid mean on a CronJob?

If the previous scheduled run is still running when the next one is due, the new run is skipped entirely, Forbid prevents overlapping runs. If your nightly backup usually takes 30 minutes but one night takes 2 hours, the next scheduled run is skipped while the first is still going. This prevents resource contention and duplicate processing. 'Allow' would start a second run in parallel. 'Replace' would kill the running job and start fresh.

Why should you always set activeDeadlineSeconds on Jobs?

To prevent a stuck or slow job from running indefinitely, consuming resources and potentially blocking other workloads, Without a deadline, a job that hangs (waiting on a locked database, stuck in an infinite loop, blocked on a network call) runs forever. It consumes CPU, memory, and potentially a PersistentVolume. activeDeadlineSeconds is a safety net that kills the job after a reasonable time, freeing resources and surfacing the failure through Job status.

What is the retry backoff pattern for failed Job pods?

Exponential: 10s, 20s, 40s, 80s, up to a maximum of 6 minutes between retries, Kubernetes uses exponential backoff for Job retries: 10s, 20s, 40s, 80s, 160s, 320s, capped at 6 minutes. This prevents a failing job from overwhelming the cluster with rapid pod creation. Combined with backoffLimit, it ensures the job eventually gives up if the problem is persistent.

Jobs and CronJobs

Name: System Design Masterclass
Availability: InStock

in Kubernetes Containers

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

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