Node.js performance analytics and best practices
summary
Practical Node.js performance diagnostics and fixes: use console.time labels to measure code sections, run the V8/Node CPU profiler to find slow functions (example: one taking ~9000 ms), capture heap snapshots and inspect retained size to locate small-object memory leaks, and scale with the cluster module to 4 processes (or container replicas) when event-loop blocking causes ~10s request delays. Also includes load-testing to find breaking points and concrete configuration limits such as 512 MB per process.
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chapters (14)
- 0:00Node.js performance challenges
- 6:31Single-threaded model
- 12:29CPU-intensive functions
- 17:55Performance measurement
- 23:31Express routing risks
- 27:49Worker processes for CPU
- 31:33Scaling with clustering
- 35:28Memory management
- 40:23Debugging memory leaks
- 44:39Network performance analysis
- 48:14Load testing resilience
- 55:18Live data testing
- 57:25Micro vs macro optimizations
- 1:00:12Memory snapshots
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