General
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- Scaling patterns: denormalization where appropriate
sharding strategies
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sharding strategies
covering indexes
memoization
interpolation search
mergesort
Rabin-Karp
DFS
Set vs Array for uniqueness
page load metrics
their rationale
memory for CPU trade-offs)
memory limitations
implement caching
unnecessary re-renders
excessive garbage collection pauses
unnecessary joins
data volume
Lighthouse
missing indexes
memory profilers
p95
data-driven performance improvements while maintaining code quality and reliability.
worker threads
tree shaking