Worker Pool Patterns
Also Known As
worker pool
process pool
parallel workers
TL;DR
Fixed pool of pre-spawned workers for parallel tasks — avoiding per-task process spawn overhead.
Explanation
A worker pool maintains N pre-spawned workers ready to accept tasks. Benefits: no per-task spawn overhead (50ms each), bounded resource usage, backpressure. PHP implementations: amphp/parallel for process pools, Laravel Horizon for queue workers.
Common Misconception
✗ Spawning a new process per task is equivalent to a pool — process spawning costs 10-100ms; pre-spawned workers handle tasks in <1ms overhead.
Why It Matters
1000 images with per-process spawn wastes 50+ seconds in overhead — a pre-spawned pool of 8 workers processes all in parallel efficiently.
Common Mistakes
- Pool larger than CPU cores for CPU-bound work
- No backpressure
- Not restarting crashed workers
- Shared mutable state between workers
Code Examples
✗ Vulnerable
foreach ($images as $img) { $p = new Process(['php','resize.php',$img]); $p->start(); }
✓ Fixed
$pool = new DefaultPool(8);
$promises = array_map(fn($img) => $pool->enqueue(new CallableTask('resize',[$img])), $images);
await Promise\all($promises);
References
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Added
16 Mar 2026
Edited
22 Mar 2026
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Related categories
⚡
DEV INTEL
Tools & Severity
🟠 High
⚙ Fix effort: Medium
⚡ Quick Fix
Size your PHP-FPM worker pool: pm.max_children = available_RAM / average_worker_memory; use pm = dynamic for variable traffic and pm = static for steady high-throughput loads
📦 Applies To
PHP 5.0+
web
cli
🔗 Prerequisites
🔍 Detection Hints
pm.max_children default or guessed value; OOM kills due to too many workers; pm=ondemand causing cold start latency on burst traffic
Auto-detectable:
✓ Yes
php-fpm-status
datadog
prometheus
⚠ Related Problems
🤖 AI Agent
Confidence: Medium
False Positives: Medium
✗ Manual fix
Fix: High
Context: File
Tests: Update