Time-series database performance under ecommerce load: real benchmark results
Your monitoring stack becomes your worst enemy during traffic spikes if you pick the wrong time-series database. I've seen checkout systems lose visibility during Black Friday precisely when teams needed it most.
A typical ecommerce platform handling 50K daily orders generates 2.4M metric points hourly. That's 665 metrics per second at baseline, spiking to 4,200+ during flash sales. Your database choice determines whether you maintain observability or go blind when it matters.
The setup
I benchmarked InfluxDB 2.7, Prometheus 2.45, and TimescaleDB 2.11 on identical hardware: 8 cores, 32GB RAM, NVMe storage. No resource contention, no excuses.
