Retail
E‑Commerce Scale-Up for Peak Season (Example)
Demo example: This page presents a hypothetical scenario to illustrate our approach. It does not describe a specific client engagement.
The Challenge
Example scenario: An online retailer anticipates peak-season traffic spikes and wants to avoid performance bottlenecks and cart drop-offs.
The Solution
Possible approach: Combine containerized services and serverless where it fits, fronted by a global CDN, with autoscaling policies and performance budgets guided by observability.
Illustrative Impact
- Handle large, spiky traffic with graceful scaling and controlled latency.
- Improve page responsiveness via caching, image optimization, and edge delivery.
- Increase availability targets with multi-AZ architectures and failover plans.
- Provide real-time operational dashboards for business and engineering teams.