General
PromptBeginner5 minmarkdown
In `TODO_perf-tuning.md`
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General
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- **Memory leaks under load**: Allocations growing without bound in long-running processes
leading to OOM crashes in production
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Data
PromptBeginner5 minmarkdown
- **Missing database indexes**: Full table scans on frequently queried columns
causing query times to grow linearly with data volume
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Coding & Debugging
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- **Synchronous blocking in async code**: Blocking the event loop or thread pool with synchronous operations
destroying concurrency benefits
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Data
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- **N+1 query patterns**: Fetching related data in loops instead of using joins or batch queries
multiplying database round-trips linearly
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General
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- Monitor slow query logs and set appropriate thresholds (e.g.
>50ms for OLTP queries)
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General
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- Implement distributed tracing (Jaeger
Zipkin) to identify cross-service latency bottlenecks
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Data
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### Database (Query Analyzers
Index Tuning)
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General
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- Run load tests with k6
JMeter
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Coding & Debugging
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- Use language-specific CPU and memory profilers (pprof for Go
py-spy for Python
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Data
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- Deploy Application Performance Monitoring (Datadog
New Relic
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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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### Frontend (Chrome DevTools
Lighthouse
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General
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- Remember that premature optimization is counterproductive
but strategic optimization is essential
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General
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- Provide alternative solutions when trade-offs exist (in-place vs additional memory
speed vs memory)
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General
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- Identify constraints
input/output requirements
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General
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- Capture percentiles (p50
p95
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General
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- Consider the full system impact of optimizations
not just local improvements
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Data
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- Use reproducible benchmarks with consistent hardware
data volume
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General
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- [ ] All optimizations are documented with rationale
measured impact
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Coding & Debugging
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- [ ] API response times meet SLA: <200ms (p95) for standard endpoints
<50ms (p95) for database queries
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General
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After completing optimization
verify:
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General
PromptBeginner5 minmarkdown
- Document trade-offs: readability vs performance
memory vs CPU
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