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Learn the core system design concepts from top to bottom. Each card covers one essential topic and points to the main guide plus deeper follow-ups, so readers can move from fundamentals to more advanced system design decisions in a clear order.
Start with the core idea of system design: request flow, trade-offs, and why architecture matters in production.
Follow a request through clients, servers, databases, and responses to build the right backend mental model.
Learn when to keep a monolith, when to split services, and what extra complexity microservices add.
Understand when one bigger machine is enough and when you need to scale safely across many servers.
Learn how API gateways handle routing, auth, rate limiting, and client-to-service traffic at one entry point.
See how traffic is distributed across healthy servers and why balancing strategy affects both scale and availability.
Understand the trade-off between consistency, availability, and partition tolerance in distributed systems.
Learn when strong consistency matters, when eventual consistency is enough, and what users experience in each case.
Learn how databases scale with replication, partitioning, sharding, and read-write trade-offs under growth.
Understand where caching helps, what not to cache blindly, and how invalidation affects speed and correctness.
Learn how CDNs reduce latency, protect the origin, and where edge caching works best.
Learn how timeouts, retries, circuit breakers, and bulkheads help systems fail gracefully under pressure.