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WooCommerce performance cannot be sized from page views alone. Product campaigns, cart, checkout, payment webhooks and scheduled actions can create sudden database and PHP-FPM load. Infrastructure should be sized from real concurrent checkout and order activity.
Small stores can run on well-optimized WordPress hosting. Heavy checkout, many scheduled actions, custom integrations or sustained CPU/database load can justify VPS/VDS control. WooCommerce's own scaling guidance highlights traffic distribution as a major performance factor.
Even with caching, personalized cart and checkout requests reach PHP and the database. Payment webhooks and Action Scheduler generate additional background work.
Campaign traffic can concentrate on product, cart and checkout pages; WooCommerce also identifies traffic distribution as a key scaling factor.
Object caching can reduce database work, but poor cache policy, insufficient memory or problematic plugins can remain bottlenecks. Redis maxmemory and eviction policy need deliberate planning.
Inspect plugins, cron, PHP and system resources before changing production.
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wp plugin list --status=activewp cron event list --fields=hook,next_run_relative --format=tablephp -vfree -hiostat -xz 1 5mysqladmin status 2>/dev/null || trueThese are starting points only; validate against real checkout concurrency and database measurements.
Cache + optimized DB
Redis + workers + NVMe
Load test required
No. Small stores can use optimized WordPress hosting; VPS provides more control as checkout, integrations and database load grow.
Redis object cache can accelerate database objects; full-page caching checkout is a separate and risky concern.
Payments, subscriptions, webhooks and plugins can use Action Scheduler for background jobs; queue buildup can affect performance.
Share monthly orders, peak concurrency, plugin count and database size; we can plan VPS/VDS and Redis.