How to Scale Adobe Commerce for Black Friday Without Breaking the Bank
Traffic spikes during Black Friday kill unprepared stores. Here's the exact scaling checklist I run for clients 4 weeks before peak season — without requiring a complete infrastructure overhaul.
Praveen Chelumalla
Adobe Commerce & AI Consultant
I've helped prepare multiple Adobe Commerce stores for Black Friday and Cyber Monday. The ones that survive — and thrive — are never the ones with the biggest servers. They're the ones that did the preparation work 4–6 weeks out. Here's the exact checklist I use.
4 Weeks Out: Load Testing
Run a load test that simulates 3x your expected peak traffic. Use k6 or Gatling with realistic user journeys — not just homepage hits. You need to test product pages, category pages, add-to-cart, and checkout simultaneously. The bottleneck almost never appears on the homepage. It shows up in checkout.
3 Weeks Out: Caching Audit
Verify that Varnish is actually caching what it should. Use varnishlog and varnishstat to measure your cache hit rate — it should be above 85% for category and product pages. A 70% hit rate means 30% of requests are hitting PHP, and that 30% will bring down your site at 10x traffic.
2 Weeks Out: Database Optimisation
Run SHOW PROCESSLIST on your MySQL/MariaDB server under simulated load and identify slow queries. Check that your catalog_product_index_price and catalog_category_product_index tables are not being locked during peak hours. If you're on Adobe Commerce Cloud, enable the Read Replica feature to offload report and non-transactional queries.
1 Week Out: The Non-Technical Stuff
Freeze deployments 5 days before the sale. Brief your hosting/cloud provider on expected traffic — they can pre-scale infrastructure if you give notice. Set up real-time monitoring with PagerDuty or OpsGenie so you're woken up at 2am if something goes wrong, not at 9am when customers have already abandoned.