Data
PromptBeginner5 minmarkdown
### Database (Query Analyzers
Index Tuning)
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106,750 skills indexed with the new KISS metadata standard.
Showing 24 of 106,750Categories: General, Data, Cursor-rules, Communication, Creative, Coding & Debugging
General
PromptBeginner5 minmarkdown
- 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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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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### Frontend (Chrome DevTools
Lighthouse
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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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- 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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General
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- Consider the full system impact of optimizations
not just local improvements
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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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- Capture percentiles (p50
p95
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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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- [ ] Frontend metrics meet targets: LCP <2.5s
FID <100ms
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General
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After completing optimization
verify:
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General
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- Document trade-offs: readability vs performance
memory vs CPU
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General
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- Implement optimizations incrementally
measuring after each change
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General
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- Classify each bottleneck by type: CPU-bound
I/O-bound
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Coding & Debugging
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- Correlate bottlenecks with specific code paths
queries
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General
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- Profile memory usage including heap size
GC frequency
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