Infrastructure that stays up on campaign day
Auto-scaling, hourly-billed infrastructure for stores whose traffic rises tenfold within hours. When the campaign ends, the cost drops too.
Do not spend the year’s biggest sales day crashing
Black Friday traffic can be ten times a normal day. Renting large hardware all year to meet it is wasteful; not renting it and taking the risk means direct revenue loss.
We simulate the expected traffic and find bottlenecks before the campaign.
Servers are added as traffic grows; resources are released as it declines.
Images and static content are served from the edge, reducing origin server load.
Filter out campaign bots with NetWaf so stock goes to real customers.
Recommended architecture
The standard architecture we build for high-traffic stores; the product catalog and cart scale separately.
What e-commerce teams say
Frequently asked questions about e-commerce cloud infrastructure
Yes. Auto-scaling adds servers as traffic grows and the CDN serves static content from the edge; bottlenecks are found and fixed ahead of time through pre-campaign load testing.
No. Thanks to hourly billing, the cost drops as you scale down; you do not have to rent large hardware all year just for the peak day.
Servers are automatically added to or removed from the application layer based on CPU and request metrics; the product catalog and cart can scale independently of each other.
The payment flow is kept in a dedicated secure segment with a NetWaf (WAF) in front of it; the cardholder data environment is isolated from other systems, narrowing the audit scope.
NetWaf bot management filters out automated bots so stock stays available to real customers; DDoS protection runs at the edge layer to protect the origin servers.
With managed PostgreSQL, a Redis cache and OpenSearch-based product search, the page response target is kept below 200 ms even at peak moments.
With CDN and object storage, images are served from the edge closest to the user; this reduces origin server load and pages open faster.
Yes. We run a load test that simulates the expected traffic before the campaign, review the architecture together, and stand ready with our team on peak day.
The store, which had crashed in the first hour the previous year, was migrated to a Kubernetes-based auto-scaling architecture. Two bottlenecks were found and fixed in pre-campaign load testing.
Talk to a team that knows your sector
A solution architect who has run projects in that sector joins the meeting. In the first meeting we produce an architecture draft and a cost range.
Schedule a meetingWe build solutions for every sector and need
The following are the architectures we build most often. Even if your need is not on the list, our solution architects design an end-to-end architecture tailored to your workload — at any scale.