Framework
Interview Approaches
How to structure the solution to a problem and answer step by step.
Books and courses on System Design Interview help you build your thinking, learn architectural patterns, and prepare for the interview format. This is not “learning answers”, but training a skill: how to collect requirements, select components and argue trade-offs.
Why read books on System Design Interview
- They give the structure: requirements → architecture → deep dive → trade-offs.
- They expand the vocabulary of solutions: caching, sharding, queues, indexes.
- Shows typical mistakes and expectations of interviewers.
- They help to train the pace and format of the answer.
Books and materials in this part
Wide overview of topics + practical tasks and checklists.
Fits: Quick start and navigation through basic topics.
A clear interview framework and analysis of classic problems.
Fits: Systematic preparation for interviews at the mid/senior level.
Structured solution process + lots of practice.
Fits: Practice step-by-step thinking and answer patterns.
Condensed framework + set of tasks for training.
Fits: Express preparation and development of the answer structure.
Focus on distributed transactions and common services.
Fits: Deepening and broadening your horizons after basic books.
ML specifics: data, metrics, MLOps, evaluation.
Fits: ML/AI direction and specialized interviews.
How to choose a source for yourself
For beginners, review materials and a system framework are suitable. If you are already confident in solving standard problems, move on to more in-depth books and specializations (for example, ML).
Comparison table of sources
| Source | Focus | Strengths | Suitable for |
|---|---|---|---|
| System Design Primer | General overview and tasks | Checklists, breadth, open-source | Start, topic navigation |
| Alex Xu | Classic problems | Clear interview framework | System preparation |
| Leetcode course | Solution process | Step-by-step structure and practice | Answer format training |
| Hacking SDI | Short framework | Concentrated and fast coverage | Express preparation |
| Acing SDI | Deeper into distributed systems | Case base and infrastructure services | Advanced level |
| ML System Design | ML/AI tasks | Metrics, data, ML pipeline | ML/AI interview |