Ngoptimalake performance Node dimulai saka ngukur kanggo nemokake bottleneck sing nyata — ora boleh nebak-nebak. Sampeyan profile panggunaan CPU, event loop, lan memory, banjur nerapke fixing sing targeted. Aturan emas: profile dhisik, optimalake apa sing bener-bener alon.
node --prof app.js
node --prof-process isolate-*.
npx clinic doctor -- node app.js
npx clinic flame -- node app.js
node --inspect app.js
Instrumen-instrumen kasebut ndadekake nampak ngendi wektu ilang — flame graph nudukake fungsi mana sing dominasi CPU, supaya sampeyan optimalake sing bener.
// ❌ synchronous CPU-heavy work blocks ALL request handling
function handler(req, res) {
const result = heavyComputation(); // freezes the event loop → every request stalls
res.json(result);
}
Amarga Node single-threaded kanggo JS, operasi sinkron sing dawa blokade kabeh. Monitor event-loop lag (ex. perf_hooks monitorEventLoopDelay); lag sing mundhak tegese ana sing nblokade loop. Gawe dening ngluwarna pekerjaan CPU menyang worker threads utawa queue.
✓ Fix N+1 database queries — the most common real bottleneck (batch/join instead)
✓ Add caching (in-memory/Redis) for repeated expensive operations
✓ Add database indexes for slow queries
✓ Use streams for large data instead of buffering it all in memory
✓ Parallelize independent async ops with Promise.all (avoid await waterfalls)
✓ Offload CPU-bound work to worker threads (keep the event loop free)
✓ Use connection pooling for DB/HTTP
✓ Enable gzip/brotli compression for responses
Many "Node is slow" problems are actually slow DB queries (N+1, missing indexes)
or external API latency — profiling reveals this so you fix the real cause.
npx autocannon http://localhost:3000 # measure requests/sec, latency before & after
Ukur sadurunge lan sawise saben perubahan supaya sampeyan ketok optimisasi bener-bener membantu.
Pekerjaan performance mung efektif yen didorong dening pengukuran — ngoptimalake bab sing salah mbuwang usaha lan nambah kompleksitas.
Ngerti carane profile (clinic.js/flame graphs/DevTools kanggo CPU, event-loop lag monitoring, heap analysis) ngandakke sampeyan nemokake bottleneck nyata, sing ing Node asring event loop sing mBlockade (gawe nganggo worker threads) utawa query database sing alon (N+1, missing indexes — asring culprit sing bener).
Gabung karo caching, streaming, parallelism, lan pooling — lan verify nganggo load tests — disiplin measure-then-fix iki sing ndadekake layanan sing alon dadi cepet lan scalable.