๐—ฃ๐—ฟ๐—ผ๐—ณ๐—ถ๐—น๐—ถ๐—ป๐—ด ๐—ก๐—ผ๐—ฑ๐—ฒ.๐—ท๐˜€ ๐—”๐—ฝ๐—ฝ๐˜€: ๐—™๐—ถ๐—ป๐—ฑ ๐—ฎ๐—ป๐—ฑ ๐—™๐—ถ๐˜… ๐—•๐—ผ๐˜๐˜๐—น๐—ฒ๐—ป๐—ฒ๐—ฐ๐—ธ๐˜€

Node.js is fast. Bad code makes it slow. Stop guessing. Use profiling to find bottlenecks.

Use the built-in profiler. It captures stack traces. Run your app with the prof flag. Use the preprocess flag for readable output.

Use flame graphs to see data. Wide bars show hot spots. Tools like 0x and clinic.js create these graphs.

Measure event loop lag. High lag means slow response. Use the process.hrtime.bigint() API. Monitor this in production.

Find memory leaks. Use Chrome DevTools for heap snapshots. Look for detached nodes and large caches.

Use async_hooks or OpenTelemetry to trace requests. This helps with Express or Fastify.

Check your database first. Most performance problems start here. Look for N+1 query patterns.

Profile in production. Dev environments differ from production. Use tools like Datadog or N|Solid.

Source: https://dev.to/therizwansaleem/profiling-nodejs-applications-finding-and-fixing-performance-bottlenecks-1g0m Optional learning community: https://t.me/GyaanSetuAi