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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leading to OOM crashes in production
>50ms for OLTP queries)
hash joins
Zipkin) to identify cross-service latency bottlenecks
JMeter
py-spy for Python
Profilers
memory limitations
Lighthouse
but strategic optimization is essential
speed vs memory)
input/output requirements
not just local improvements
p95
<50ms (p95) for database queries
measured impact
memory vs CPU
verify:
FID <100ms
I/O-bound
measuring after each change
queries
p95
GC frequency