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7/ 💬 Curious?. Want me to share the clustered Fastify template or full benchmarking setup? . Drop a 🔥 and I’ll share the GitHub link.

6/ ✅ Benchmark Summary

5/ 🛠️ Pro Tips. Avoid blocking code in handlers. Use fast-json-stringify. Replace console.log with pino. Monitor event loop lag (clinic.js). Keep payloads small & lean.

4/ 💡 Key Learning. “First optimize on a single core — then scale.”. Clustering will scale performance, but it can’t fix bad logic, sync code, or slow JSON ops. One slow handler = scaled bottleneck.

3/ ⚡ Clustered Mode.Enabled multi-core scaling using Node.js cluster module. Now:.~166,000 req/sec ✅. ~61ms avg latency 🔥. 0 errors 💯. 🚀 That’s nearly 50% more throughput with better latency!.

2/ 🧪 Single-Core Result. No clustering, just vanilla Fastify:.~108,000 req/sec. ~87ms avg latency. Some timeouts under load. 📌 Good, but not yet bulletproof.

1/ 🔍 Setup. Mac Studio (M2, 32 GB RAM). Node.js vXX. Fastify server with /ping route. Load tested with autocannon. app.get('/ping', (req, res) => {. res.send({ message: 'pong' });.});.

🧵 Fastify Performance Benchmarking on Mac Studio (32GB RAM). Here’s how I went from ~108k req/sec to 166k+ req/sec with clustering — and why optimizing on a single core first is the real win. #NodeJS #Fastify #WebPerf #BackendDev.

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