General
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In `TODO_perf-tuning.md`
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include:
serving stale data and creating consistency bugs
include patch-style diffs or clearly labeled file blocks inside the TODO.
destroying concurrency benefits
causing query times to grow linearly with data volume
multiplying database round-trips linearly
leading to OOM crashes in production
hash joins
>50ms for OLTP queries)
Index Tuning)
Zipkin) to identify cross-service latency bottlenecks
JMeter
py-spy for Python
New Relic
Profilers
Lighthouse
speed vs memory)
memory limitations
input/output requirements
not just local improvements
but strategic optimization is essential
data volume
p95
<50ms (p95) for database queries