BFCM 2026: Reduce Cloud Infrastructure Costs Before Peak Season

Every November, commerce brands running their own cloud infrastructure face the same unwelcome surprise. The AWS bill arrives weeks after Black Friday, carrying charges significantly higher than in October, with no clear explanation. Auto-scaling may have left resources running longer than needed, data transfer costs may have run higher than expected under peak load, or database queries that performed acceptably at normal volume may have consumed unexpectedly high compute during the year's highest-traffic hours.

The cost spike goes beyond the November problem and is accumulated over the months before it. Commerce brands that reduce cloud infrastructure costs before peak season carry the advantage through BFCM and into every month that follows. In this guide, understand how the right decisions can look in practice.

Why Commerce Brands Overspend on Cloud Infrastructure

Most cloud overspending goes unnoticed until the invoice arrives. The infrastructure runs, the site performs with nothing appearing broken. However, beneath the surface, a set of configuration decisions made during the initial build or the last platform migration is quietly accumulating costs every month.

• Over-provisioned servers: Most commerce brands size their instances for peak traffic and run them at that capacity year-round. During off-peak periods, those servers run at 20 to 30% utilization while charging for 100%.
• Auto-scaling: Resources provisioned during a traffic spike stay running long after the traffic has gone. By the time the next invoice arrives, the overspend is already spent.
• Unused resources: Snapshots, unattached storage volumes, idle load balancers, and forgotten staging environments from previous deployments add up. Individually they seem insignificant, but together they consistently account for 10 to 20% of monthly spend doing nothing.

As a result, the cloud bill increases by 15-25% annually, even when traffic and order volume are normal. BFCM makes it visible because peak traffic amplifies every existing inefficiency simultaneously.

BFCM is When Cloud Inefficiencies Start Getting Expensive

Cloud overspending is manageable during normal trading periods, when the site performs, and orders are processed. However, BFCM removes that comfort entirely, with peak traffic amplifying every existing infrastructure inefficiency, and the December invoice reflects them all at once.

Auto-scaling that was slightly misconfigured provisions far more capacity than needed and keeps running at that level for days after Black Friday traffic normalises.

• Data transfer costs become significant when every product image and JavaScript bundle is being served to ten times the usual number of visitors.
• Database queries that ran acceptably under normal load consume unexpected compute at peak scale.

Each of these was a fixable configuration decision, but under BFCM load, each becomes a line item.

Foot Locker, running Adobe Commerce (Magento) across six country sites on AWS, faced exactly this pattern before partnering with Codilar. A FinOps review identified over-provisioned instances running well below utilization, unused resources accumulated across a multi-region architecture, and auto-scaling configurations that scaled up efficiently. Addressing these before peak season reduced monthly infrastructure spend by 72% and sustained that reduction through BFCM without any impact on uptime or performance.

Read More: Foot Locker Cuts AWS Infra Costs by 70% on Adobe Commerce (Magento) with Codilar

BFCM Cloud Infrastructure Gaps: Signs You Cannot Ignore

The infrastructure problems that surfaced in December are now visible but do not yet look expensive. The following are the warning signs to act on time:

Growing Cloud Bills

If monthly spend is increasing 10% or more without a corresponding rise in traffic or order volume, unused resources and over-provisioned instances are almost certainly accumulating in the background.

No Visibility of Driving Cost

The engineering team should be able to identify the top three cost drivers in the current AWS account within 15 minutes. If not, the infrastructure lacks the observability it needs to be managed efficiently at BFCM scale.

Missed Reviewing Auto-scaling Policies Since the Last Migration

Configurations set up during a platform launch or replatforming project rarely reflect current traffic patterns and are optimized for conditions that no longer exist.

No Load Testing Against Last Year's BFCM Traffic

Without a load test at 150% of peak traffic, the first real stress test of the infrastructure happens on Black Friday in front of real customers.

Any one of these is a signal, and txwo or more means BFCM will surface the problem before September does.

Start Reducing Cloud Infrastructure Costs Before BFCM

The window between now and BFCM is long enough to make meaningful changes if the work starts immediately. The following actions deliver the most significant cost reductions by then:

Step 1: Start With a Cloud Cost Audit

AWS Cost Explorer breaks spend down by service, region, and individual resource, identifying a few high cost and optimization potential specific areas. Without this visibility, optimization work addresses symptoms rather than causes.

Step 2: Load Test at 150% of Last Year's BFCM Traffic

This identifies the infrastructure challenges that drive both cost and performance issues. Finding them now can prevent them from being absorbed into the December invoice.

Step 3: Configure Auto-scaling Scale-Down Policies

Set CloudWatch billing alerts at 80% of the monthly budget threshold, and scale-down should activate within 15 minutes of traffic dropping below peak thresholds. The practice prevents the post-BFCM resource accumulation that inflates bills for weeks after the event ends.

Step 4: Freeze Deployments Two Weeks Before BFCM

New deployments introduce risk and can trigger unexpected resource provisioning during the period when infrastructure behavior needs to be most predictable.