| Scale | High-Level Design (HLD) | Low-Level Design (LLD) |
|---|---|---|
| Small (1-10 users) | Simple architecture overview, main components, basic data flow | Basic class diagrams, simple APIs, data structures |
| Medium (100-10K users) | Detailed modules, interfaces, technology choices, data storage overview | Detailed class relationships, method signatures, error handling, database schema |
| Large (100K-1M users) | Scalable architecture, microservices boundaries, integration points | Component interactions, concurrency control, caching strategies, security details |
| Very Large (10M+ users) | Distributed systems design, data partitioning, failover strategies | Detailed protocol design, API versioning, performance optimizations |
What LLD covers vs HLD - Scaling Approaches Compared
At small scale, HLD may lack enough detail to guide developers, causing confusion. At large scale, LLD can become too complex and hard to maintain. The first bottleneck is often the gap between HLD and LLD--if HLD is too vague, LLD becomes inconsistent; if LLD is too detailed without clear HLD, teams lose alignment.
- Modular Design: Break system into clear modules in HLD, then detail each in LLD.
- Standardized Templates: Use consistent formats for HLD and LLD to ensure clarity.
- Iterative Refinement: Start with broad HLD, progressively add LLD details as project grows.
- Tool Support: Use diagramming and documentation tools to keep HLD and LLD synchronized.
- Communication: Regular team reviews to align understanding between HLD and LLD.
Design effort scales with project size:
- Small projects: HLD ~1-2 days, LLD ~2-3 days
- Medium projects: HLD ~1-2 weeks, LLD ~2-4 weeks
- Large projects: HLD ~1 month, LLD ~2-3 months
- Very large projects: HLD and LLD require ongoing updates, multiple teams
Misalignment between HLD and LLD can cause rework, increasing cost and delaying delivery.
Start by explaining the purpose of HLD and LLD:
- HLD: Big picture, components, and their relationships.
- LLD: Detailed design, classes, methods, and data structures.
Discuss how they evolve with scale and the importance of keeping them aligned. Mention common bottlenecks and how to solve them. Use simple examples to illustrate.
Your project has a clear HLD but developers struggle with implementation details. What is your first action?
Answer: Enhance the LLD by adding detailed class diagrams, method definitions, and data schemas to guide developers clearly.