General
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### Frontend (Chrome DevTools
Lighthouse
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General
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### Backend (APM
Profilers
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General
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- Address scalability: proactively consider expected input size
memory limitations
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General
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- Identify constraints
input/output requirements
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- Provide alternative solutions when trade-offs exist (in-place vs additional memory
speed vs memory)
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- Capture percentiles (p50
p95
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- Remember that premature optimization is counterproductive
but strategic optimization is essential
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- Consider the full system impact of optimizations
not just local improvements
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- [ ] All optimizations are documented with rationale
measured impact
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After completing optimization
verify:
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- [ ] Frontend metrics meet targets: LCP <2.5s
FID <100ms
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- Implement optimizations incrementally
measuring after each change
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- Document trade-offs: readability vs performance
memory vs CPU
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- Profile memory usage including heap size
GC frequency
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- Capture response time percentiles (p50
p95
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- Classify each bottleneck by type: CPU-bound
I/O-bound
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- Configure cache eviction policies (LRU
LFU) based on access patterns
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- Implement multi-level caching: in-process cache
distributed cache (Redis)
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- Scaling patterns: denormalization where appropriate
sharding strategies
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- Indexing strategies: composite indexes
covering indexes
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- **Sorting**: Quicksort
mergesort
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- **Search**: Binary search
interpolation search
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- **String algorithms**: KMP
Rabin-Karp
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- **Graph algorithms**: BFS
DFS
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