🧭 System Design L6

Staff-level system-design case studies: define correctness, find bottlenecks, recover safely and limit blast radius.

30 lessons · about 0.5 hours

Start the first lesson →

Start Here

The learning loop and a repeatable interview framework.

  1. 01The L6 System-Design Thinking Loop A repeatable Staff-level answer: define correctness, size the load, design failure paths, and measure recovery.Advanced1 min read
  2. 12System Design Interview Framework A seven-step path from an ambiguous prompt to a clear, trade-off-aware architecture discussion.Advanced1 min read

Core System Design Concepts

Capacity, traffic, APIs, data, caching and communication building blocks.

  1. 07Capacity, Availability, Latency and CAP The constraints that shape every distributed design: load, response time, uptime and partition-time policy.Advanced1 min read
  2. 08Caching, Consistent Hashing and Sharding Move reads close to users, distribute data safely, and understand cache and database consistency costs.Advanced1 min read
  3. 10Proxies, APIs and Real-Time Protocols Pick REST, RPC, queues, long polling, WebSockets, TCP or UDP based on the interaction shape.Advanced1 min read
  4. 11Batch vs Stream and Data Modeling Choose when work runs and shape data for correctness first, then deliberately denormalize proven read bottlenecks.Advanced1 min read
  5. 23Networking, DNS and Traffic Routing Understand the request path from OSI layers and DNS through load balancers, anycast and reverse proxies.Advanced1 min read
  6. 24API Contracts, Gateways and Security Make APIs evolvable and safe with explicit formats, versioning, idempotency, gateway policy, authentication and authorization.Advanced1 min read
  7. 25Real-Time, Pub/Sub, Webhooks and CDC Choose the right push or event mechanism and keep event delivery observable, idempotent and replayable.Advanced1 min read
  8. 26Database Internals, Replication and Scaling Connect storage-engine choices, durability, replicas, query plans, pooling and data layout to real production behaviour.Advanced1 min read

Distributed Reliability

Correctness, coordination, overload control, time and scale-oriented data structures.

  1. 02Exactly-Once Payment Processing Safe payment retries need a durable idempotency record, atomic state transition and provider-side deduplication.Advanced1 min read
  2. 03Timeouts, Retries & Backpressure A slow dependency should consume a bounded budget, not create an infinite retry storm.Advanced1 min read
  3. 06Debug Latency Like an Investigator High CPU is not required for high latency. Follow percentile shape and trace wait time before scaling blindly.Advanced1 min read
  4. 09Distributed Coordination: Consensus, Heartbeats and Gossip Use strong agreement, lightweight failure detection, integrity checks and membership propagation for the right problems.Advanced1 min read
  5. 27Time, Consistency and Distributed Transactions Reason about clocks, ordering, split brain, locks, CRDTs and transactions without promising impossible global certainty.Advanced1 min read
  6. 28Data Structures for Scale Use geospatial indexes and probabilistic structures to make huge queries practical while understanding their error bounds.Advanced1 min read

Architecture and Operations

Choose system shapes, analytical platforms and safe production releases.

  1. 19Architecture Patterns at Scale Choose client-server, microservices, serverless, event-driven or peer-to-peer architecture based on ownership, failure boundaries and operational cost.Advanced1 min read
  2. 29Big Data: ETL, Warehouses and Streaming Build reliable analytical pipelines with batch/stream processing, lake and warehouse layers, and explicit freshness contracts.Advanced1 min read
  3. 30Releases, Observability and Production Safety Ship changes safely with rollout strategy, flags, migration discipline, rollback plans and observable service-level outcomes.Advanced1 min read

Case Studies

Apply the concepts to real production-style design problems.

  1. 04Flash Sale: 10 Million Buyers, No Oversell A queue smooths traffic but does not reserve stock. The durable inventory owner decides the winner atomically.Advanced1 min read
  2. 05Premiere-Night Video Streaming Let millions press Play together by separating small control-plane APIs from CDN-delivered video bytes.Advanced1 min read
  3. 13Design a URL Shortener Generate durable short links, redirect in milliseconds, prevent abuse and keep analytics off the redirect path.Advanced1 min read
  4. 14Design a Chat Application Deliver live messages without losing them by separating durable messages from fan-out, presence and offline notifications.Advanced1 min read
  5. 15Design a Ride-Sharing Service Match riders and drivers with a geo index, safely lease availability, and treat location as a fast-changing stream.Advanced1 min read
  6. 16Design a File Storage Service Upload bytes directly to object storage while the API owns durable metadata, authorization, sharing and synchronization.Advanced1 min read
  7. 17Design a Polite Web Crawler Crawl at scale without revisiting endlessly or overwhelming hosts: normalize, deduplicate and schedule per host.Advanced1 min read
  8. 18Design a Reliable Notification System Deliver email, SMS, push and in-app messages with preferences, isolation, idempotency, provider failover and auditable states.Advanced1 min read
  9. 20Design a Social Media Feed Build a fast home feed with fan-out choices, durable post storage, eventual consistency and safeguards for celebrity hot keys.Advanced1 min read
  10. 21Design an E-Commerce Checkout Keep browsing scalable while protecting the correctness-critical path: inventory reservation, idempotent payment, order creation and durable events.Advanced1 min read
  11. 22Design a Logging and Monitoring Platform Ingest high-volume telemetry reliably, separate hot search from cheap retention, and make alerting useful rather than noisy.Advanced1 min read