{"id":7671,"date":"2026-09-11T05:00:00","date_gmt":"2026-09-11T03:00:00","guid":{"rendered":"https:\/\/ecommsolvers.com\/staging\/black-friday-prep-with-magento-the-secret-to-99-9-uptime\/"},"modified":"2026-10-25T23:52:21","modified_gmt":"2026-10-25T22:52:21","slug":"black-friday-prep-with-magento-the-secret-to-99-9-uptime","status":"publish","type":"post","link":"https:\/\/ecommsolvers.com\/en\/black-friday-prep-with-magento-the-secret-to-99-9-uptime\/","title":{"rendered":"Black Friday prep with Magento: the secret to 99.9% uptime"},"content":{"rendered":"\t\t
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Black Friday preparation on Magento delivers 99.9% uptime when load testing, auto-scaling infrastructure, a properly configured CDN, and strict code freeze rules are all put in place together, in a coordinated way, before the campaign. In our experience, most business leaders focus only on the marketing campaign and promotional pricing, while technical preparation, without which even the best campaign can collapse due to downtime, takes a back seat. In many cases, Black Friday outages do not stem from unexpected, unavoidable failures but from predictable, testable bottlenecks that could have been identified in time. This article explains which concrete steps ensure that a Magento store runs stably and without interruption even during its biggest traffic peak.<\/p>\n\n

Load testing: the foundation of preparation<\/h2>\n\n

Load testing is the step that objectively tells you how much real traffic the system can handle, before Black Friday’s live traffic asks the same question with much higher stakes. In our experience, most online stores have never faced the level of traffic they need to handle on Black Friday, so their real capacity limits can only be discovered in advance, under safe conditions, through simulated testing. In the cases we have analyzed, the companies that avoided downtime were those that had a full-scale load test carried out at least a month before Black Friday, simulating one and a half to two times the expected peak traffic, so they could operate with a comfortable capacity buffer on the day itself.<\/p>

\"Load<\/figure>\n\n

Which specific scenarios should the load test cover?<\/h2>\n\n

The load test needs to cover add-to-cart, the payment process, and order completion running simultaneously at high volume, because these are the most critical processes requiring database writes and the most sensitive to load. When is testing product pages alone not enough? When the test does not simulate real customer behavior, including cart abandonment and simultaneous order processing in the admin, because real Black Friday traffic includes these patterns too, not just simple page loads.<\/p>\n\n

Auto-scaling: dynamically expanding capacity at traffic peaks<\/h2>\n\n

Auto-scaling is the mechanism that lets server capacity grow automatically, without manual intervention, as traffic increases, and then return to the baseline once the peak has passed. In many cases, we have found that stores running on Adobe Commerce Cloud or other cloud infrastructure<\/a> get through Black Friday peak traffic with significantly less risk, because automatic scaling responds to load fluctuations in real time. With a statically sized, self-hosted infrastructure, this has to be planned and tested manually in advance.<\/p>\n\n

When is enabling auto-scaling not enough on its own?<\/h2>\n\n

Auto-scaling alone is not enough if the database layer is not prepared for the increased number of concurrent write operations, because adding server capacity does not solve a database-level bottleneck. Who is auto-scaling infrastructure primarily for? Any B2B or B2C Magento store<\/a> with significant traffic spikes during seasonal campaigns that are hard to predict in advance, because for them static capacity planning leads either to over-provisioning or to risky under-provisioning.<\/p>\n\n

\n\n\n\n\n\n\n\n\n
Preparation element<\/strong><\/td>\nWhat it provides<\/strong><\/td>\nRisk of neglecting it<\/strong><\/td>\n<\/tr>\n<\/thead>\n
Load testing<\/td>\nUncovers real capacity limits in advance<\/td>\nUnexpected crash under live traffic<\/td>\n<\/tr>\n
Auto-scaling<\/td>\nDynamic capacity expansion at peak times<\/td>\nOverloaded, slow, or failing system<\/td>\n<\/tr>\n
CDN (Fastly\/Cloudflare)<\/td>\nFast, global delivery of static content<\/td>\nOverloaded origin server, slow loading<\/td>\n<\/tr>\n
Code freeze<\/td>\nStable, unchanged codebase during the campaign<\/td>\nUnexpected bug mid-campaign<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n

CDN: the role of Fastly and Cloudflare in uptime<\/h2>\n\n

A CDN, typically Fastly or Cloudflare, plays a critical role in uptime during Black Friday, because it takes the delivery of static content (images, CSS, and JavaScript files) off the origin server and serves it from servers geographically closer to the user. In our experience, most clients achieve the biggest, immediately measurable stability gains when they finalize the CDN configuration weeks before the campaign rather than experimenting with settings in the last days before Black Friday, because a misconfigured cache rule can cause problems at exactly the most critical moment.<\/p>\n\n

Which CDN settings should you check before the campaign?<\/h2>\n\n

Before the campaign, you must check cache TTL settings, image optimization rules, and DDoS protection thresholds, because on Black Friday the risk of malicious, automated traffic also rises significantly alongside the increased traffic. Should you deliberately warm up the CDN cache before the campaign starts? Yes, because a system that starts with a “cold” cache lets considerably more load through to the origin server in the first few minutes, just when traffic is already peaking.<\/p>\n\n

Code freeze: protecting stability during the campaign<\/h2>\n\n

A code freeze is the rule that no new code is deployed to production during a defined period before and during the Black Friday campaign, because every change, even the smallest, can potentially introduce a new, unforeseen bug into an otherwise stable system. In our experience, most outages during a campaign are caused not by traffic overload but by a last-minute, insufficiently tested change, which makes the code freeze one of the cheapest yet most effective risk reduction measures.<\/p>\n\n

When should the code freeze start, and how long should it last?<\/h3>\n\n

The code freeze should start at least one to two weeks before Black Friday and last for the entire campaign, until traffic returns to normal, because the traffic spike can continue for days after the official Black Friday date. When should you avoid making exceptions to the code freeze? In every case except a critical bug that is security-related or directly threatens the campaign. Every other change should be postponed until after the campaign, when a bug can no longer jeopardize all your traffic.<\/p>\n\n

To achieve 99.9% uptime during Black Friday, work through the following steps in good time and in order:<\/h4>\n\n
    \n
  1. A full-scale load test at one and a half to two times the expected traffic, at least one month before the campaign.<\/li>\n\n
  2. Setting up and testing auto-scaling infrastructure with real load scenarios.<\/li>\n\n
  3. Finalizing the CDN configuration and warming up the cache before the campaign starts.<\/li>\n\n
  4. Introducing a code freeze at least one to two weeks before Black Friday.<\/li>\n\n
  5. Putting enhanced, real-time monitoring in place for the entire campaign.<\/li>\n<\/ol>\n\n

    During the pre-campaign technical review, make sure to check the following elements:<\/h4>\n\n