Retail & E-commerce · 2025
Zero-downtime cloud migration for a high-traffic retail platform

41%
lower infrastructure cost
- Client
- Omnichannel retailer (demo)
- Industry
- Retail & E-commerce
- Services
- Cloud Migration, DevOps & Automation
- Year
- 2025
01 Project overview
A retailer with 3M monthly visitors needed to exit an aging data center before peak season without risking revenue.
02 Business challenge
- A monolithic commerce platform and 120 virtual machines with poorly documented dependencies.
- Previous peak events caused outages costing an estimated $250k per hour.
- The data-center lease expired in nine months.
03 Solution architecture
How it was built.
Edge
Global CDN, WAF and bot protection in front of all traffic.
Compute
Containerized storefront on Kubernetes with horizontal autoscaling.
Data
Managed PostgreSQL with read replicas and online migration.
Operations
GitOps deployments, SLO dashboards and automated rollback.
Technologies used
- AWS
- EKS
- Terraform
- Argo CD
- Aurora PostgreSQL
- CloudFront
- Datadog
04 Implementation approach
Delivered in clear phases.
- 01 · Discover
Automated dependency mapping and 7R disposition for all workloads.
- 02 · Migrate
Five migration waves, each with rehearsed runbooks and rollback plans.
- 03 · Optimize
Rightsizing, savings plans and autoscaling tuned before peak season.
05 Results & impact
- Lower infrastructure cost
- 41%
- Customer-facing downtime
- 0 min
- Peak traffic handled
- 4.2×
- Release cadence (from monthly)
- Daily
“We went into peak season on new infrastructure and it was the calmest Black Friday we've had.”
— VP Engineering (Demo testimonial)
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Want results like these?
Planning a data-center exit or a migration before your busiest season? Let’s map the waves together.