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System Design Primer

donnemartin/system-design-primer

System Design Primer is a learning repository for designing large-scale systems and preparing for system design interviews.

Forks 56,616
Author donnemartin
Language Python
License NOASSERTION
Synced 2026-06-07

What it is

System Design Primer is a repository for learning how to design large-scale systems. It explains common backend architecture building blocks: load balancing, caching, databases, queues, CDNs, consistency, latency, and typical tradeoffs.

The project was created on GitHub in February 2017 and became especially known among people preparing for system design interviews. It reads less like an academic textbook and more like a practical overview of topics that come up when designing web services.

Checklist before a design discussion

This kind of list keeps the conversation focused on requirements and constraints before jumping to technology.

Language: Markdown
- What are the core use cases?
- What read/write volume should we expect?
- What can be cached?
- What data must stay consistent?
- Where are the failure points?

Why it is useful

The strength of the repository is that it connects terms to decisions. Instead of “learn Redis and Kafka”, the reader sees what problems caches, queues, replication, and sharding solve.

For interviews, it helps people speak in a structured way: requirements, API, data, scale, reliability, bottlenecks. For real work, it is a reminder that architecture starts with load and constraints, not trendy services.

Limits

It does not replace operational experience. Real architecture depends on team, budget, data, latency, compliance, and existing infrastructure. The repository gives a useful mental model, not universal ready-made answers.