| Users | Changes in System |
|---|---|
| 100 users | Simple inheritance and method overrides work well. Few subclasses needed. Low complexity. |
| 10,000 users | More subclasses created for variations. Code reuse helps maintainability. Performance still good. |
| 1,000,000 users | Many subclasses cause code bloat. Template methods may become complex. Need to optimize method calls and reduce duplication. |
| 100,000,000 users | System complexity high. Template method pattern alone insufficient. Need to combine with other patterns (e.g., Strategy) and optimize for concurrency and scalability. |
Template Method pattern in LLD - Scalability & System Analysis
The first bottleneck is code complexity and maintainability as the number of subclasses grows. This leads to harder debugging and slower development.
- Refactor common steps into shared helper classes to reduce subclass count.
- Use composition with Strategy pattern to replace deep inheritance hierarchies.
- Apply caching for repeated method results to improve performance.
- Optimize method calls by minimizing overrides and using final methods where possible.
- For concurrency, ensure thread-safe implementations of template methods.
At 1,000 users, method call overhead is negligible.
At 1,000,000 users, frequent method calls in deep inheritance can add latency (milliseconds per request).
Storage cost grows with number of subclasses and code size, but usually minimal compared to runtime costs.
Bandwidth is unaffected by pattern choice.
Start by explaining the pattern's purpose: defining a skeleton of an algorithm with steps overridden by subclasses.
Discuss how it helps code reuse and enforces a fixed process.
Then analyze scalability: what happens when many subclasses exist and how complexity grows.
Finally, suggest improvements like composition and caching to handle scale.
Your database handles 1000 QPS. Traffic grows 10x. What do you do first?
Answer: Although this question is about database, for Template Method pattern scaling, first address code complexity by refactoring and using composition to keep the system maintainable and performant.
