50,000 Request Benchmark: Flat-PHP vs WordPress vs Next.js
What Was the Experimental Benchmark Methodology?
To eliminate network jitter and CDN caching bias, all tests were executed over an isolated internal virtual network against bare HTTP endpoints delivering an identical 14KB HTML payload containing standard metadata, typography, and SVG assets.
- Compute Environment: 1 vCPU (AMD EPYC 2.8GHz), 1,024 MB RAM, NVMe SSD storage.
- Operating System: Ubuntu 24.04 LTS with Linux Kernel 6.8.
- Test Stack 1 (Flat-PHP): PHP 8.3 OPcache on LiteSpeed/Apache, flat filesystem templates, zero database connections.
- Test Stack 2 (WordPress 6.7): Standard production install, MySQL 8.0, clean default theme with 4 core plugins (SEO, Security, Forms, Cache).
- Test Stack 3 (Next.js 15): Node.js 22 runtime, Server-Side Rendered (SSR) dynamic page without edge cache.
- Load Harness:
wrk -t4 -c250 -d60sexecuting 50,000 total requests across a 60-second burst window.
What Are the Comparative Latency and Throughput Results?
The table below documents empirical telemetry across all three systems under sustained 250-connection concurrency:
| Architecture | Throughput (Req/Sec) | p50 Latency | p95 Latency | Peak RAM | Error Rate |
|---|---|---|---|---|---|
| BKB Flat-PHP | 4,812 req/s | 4.2 ms | 9.4 ms | 38 MB | 0.00% |
| Next.js (Node.js SSR) | 724 req/s | 185.0 ms | 342.0 ms | 246 MB | 1.82% |
| WordPress + MySQL | 98 req/s | 680.0 ms | 1,420.0 ms | 780 MB | 42.80% |
Why Did WordPress Fail at 250 Concurrent Connections?
The primary bottleneck was the max_connections threshold in MySQL. When 250 requests hit simultaneously, WordPress attempted to establish a separate database handshake for each worker process:
- Connection Pool Saturation: MySQL reached its connection ceiling within 4.2 seconds, throwing
Error 1040: Too many connections. - Memory Thrashing: Each MySQL thread allocated buffer memory, forcing Linux kernel Out-Of-Memory (OOM) killer to terminate background daemons.
- Cascading Latency Spike: Requests trapped in the connection wait queue suffered a p95 latency exceeding 1,420 milliseconds, immediately triggering Google AI Overview timeout thresholds.
Why Does Sovereign Flat-PHP Maintain Sub-10ms Latency?
Flat-file PHP architecture bypasses the relational database abstraction layer entirely:
- Zero Socket Overhead: The web server executes the pre-compiled PHP opcode directly from memory without network or socket overhead.
- Predictable Memory Footprint: Peak RAM consumption remained constant at 38 megabytes regardless of request volume.
- Immunity to Connection Starvation: Because there is no external database daemon to saturate, flat-PHP scales linearly up to the physical packet throughput limit of the network interface.
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