Step 11: System Design Trade-offs
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Overview
This step covers fundamental trade-offs in system design that architects must navigate when making design decisions.
Topics Covered
1. Push vs Pull Architecture
- Push vs pull patterns
- When to use each
- Trade-offs and examples
2. Consistency vs Availability
- CAP theorem trade-offs
- Decision frameworks
- Real-world examples
3. SQL vs NoSQL
- Database selection trade-offs
- Use cases and decision framework
4. Memory vs Latency
- Caching strategies
- Memory optimization
- Performance trade-offs
5. Throughput vs Latency
- Performance optimization
- Batch vs real-time
- Trade-offs
6. Accuracy vs Latency
- Approximate algorithms
- Real-time vs batch processing
- Trade-offs
Quick Navigation
| Topic | File | Key Concepts |
|---|---|---|
| Push vs Pull | push-vs-pull.md | Event-driven, polling, real-time |
| Consistency vs Availability | consistency-vs-availability.md | CAP, trade-offs, decision |
| SQL vs NoSQL | sql-vs-nosql.md | Database selection |
| Memory vs Latency | memory-vs-latency.md | Caching, optimization |
| Throughput vs Latency | throughput-vs-latency.md | Performance, batching |
| Accuracy vs Latency | accuracy-vs-latency.md | Approximate, real-time |
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