E-commerce infrastructure that never drops a sale
Black Friday traffic, flash sales, viral moments — your platform must scale instantly or lose revenue. We build Kubernetes infrastructure that handles the spikes and protects the checkout.
The Technical Challenges of Modern Retail
Shoppers demand instant page loads, seamless checkouts, and consistent service across every channel — web, mobile, in-store, and fulfillment. A single Black Friday outage can cost millions and damage brand loyalty that takes years to rebuild.
Modern retail infrastructure must handle:
- Traffic spikes 10–20x above baseline during Black Friday, Cyber Monday, and flash sales
- PCI-DSS compliant payment processing with strict network segmentation and audit logging
- Real-time inventory sync across e-commerce, stores, warehouses, and third-party fulfillment
- AI-powered personalization serving recommendations in under 10 milliseconds
Traditional monolithic architectures cannot meet these demands. Retailers need cloud-native platforms on Kubernetes that scale automatically, fail gracefully, and optimize costs across seasonal cycles.
THNKBIG is a US-based Kubernetes consulting firm serving retailers across Texas, California, and nationwide. We bring deep experience with national chains and high-growth DTC brands — and we understand both the technology and the business realities of retail.
Purpose-built for retail
E-Commerce Scale
Black Friday doesn't wait for capacity planning. We build Kubernetes platforms that scale instantly to handle 10x normal traffic without breaking.
PCI-DSS Compliance
Payment processing requires strict security controls. We implement cardholder data environments that satisfy PCI-DSS requirements.
Omnichannel Platform
Web, mobile, in-store, fulfillment — retail spans multiple channels. We build platforms that unify data and serve consistent experiences.
Recommendation & Personalization
Deploy ML models for product recommendations and personalization at scale. Real-time inference without adding latency.
Retail-Specific Kubernetes Solutions
High-Traffic E-Commerce Platforms
Black Friday and viral moments can drive traffic 10x above normal — without warning. Traditional infrastructure either over-provisions (wasting money) or under-provisions (losing sales). Our Kubernetes platforms solve this.
- Event-driven auto-scaling with KEDA responds to business metrics, not just CPU
- Karpenter node provisioning adds capacity in under 45 seconds
- Distributed caching and CDN integration for sub-100ms page loads globally
- Load testing against realistic peak patterns — not just capacity estimates
One national retail chain achieved 99.97% Cyber Weekend uptime after implementing our scaling architecture — up from a 47-minute Black Friday outage the prior year.
PCI-DSS Compliant Payment Infrastructure
Payment processing requires strict PCI-DSS controls. Our Kubernetes-based cardholder data environments satisfy all requirements — including network segmentation, encryption, access controls, and audit logging.
- Strict microsegmentation via Kubernetes Network Policies and Calico
- Mutual TLS between all services via service mesh (Istio / Linkerd)
- Comprehensive audit logging for QSA assessments and incident investigation
- CCPA-compliant data handling for California retailers
Our clients consistently pass QSA assessments with minimal findings.
Omnichannel Inventory and Fulfillment
Modern retail requires real-time inventory accuracy across every channel. Customers expect BOPIS, ship-from-store, and marketplace availability to reflect live stock — not batch updates from the night before.
- Kafka-based event streaming syncs inventory across all channels within milliseconds
- Integrations with WMS, POS, SAP, Oracle, and marketplace APIs
- Event sourcing ensures complete audit trails for every inventory movement
- Single source of truth across distribution centers in Texas, California, and beyond
AI-Powered Personalization and Recommendations
Personalized shopping drives higher conversions and larger carts. Our ML platform infrastructure delivers real-time recommendations without adding latency to the shopping experience.
- Feature stores maintaining real-time customer and product embeddings
- Triton Inference Server for GPU-accelerated model serving under 10ms
- A/B testing infrastructure for continuous algorithm experimentation
- Integrates with existing CDPs and marketing automation tools
Scaling e-commerce infrastructure for a national retail chain
National Retail Chain — Dallas, TX
The Challenge
A 1,200+ store retailer's e-commerce platform suffered 47 minutes of Black Friday downtime, costing $2.1M in lost revenue. Manual scaling took 45+ minutes and baseline over-provisioning wasted $180K/month.
Our Approach
- Decomposed monolith into 24 independently scalable microservices on AWS EKS
- Deployed Karpenter for sub-minute node provisioning during traffic surges
- Implemented KEDA event-driven autoscaling based on business metrics
Results
99.97%
Cyber Weekend uptime
43%
Cost reduction
<45s
Scale response time
11.4x
Peak traffic handled
Why Retail Companies Choose THNKBIG
Retail operates on razor-thin margins. A checkout outage during peak hours doesn't just lose immediate sales — it drives shoppers to competitors and damages trust that takes years to rebuild.
THNKBIG is different from generalist consulting firms:
- Kubernetes specialists — not generalists who happened to learn K8s
- US-based engineers — in your time zone, understanding your business context
- Retail-proven — Black Friday scaling, PCI-DSS compliance, omnichannel inventory
- Result-focused — we deliver working infrastructure, not just proposals
Our clients in Dallas, Houston, Austin, Los Angeles, and San Francisco trust THNKBIG with their most critical e-commerce workloads. We partner from initial architecture through production deployment and ongoing cost optimization.
Frequently asked questions
Technology Partners
High-Availability E-Commerce Infrastructure on Kubernetes
Peak Traffic: The Core Challenge
E-commerce traffic is seasonal and unpredictable. Black Friday can spike 10–20x above baseline in minutes. Viral moments arrive without warning. Two bad options exist:
- Over-provision — Pay for Black Friday capacity 365 days a year
- Under-provision — Lose millions in sales when your checkout goes down
Kubernetes solves this through horizontal pod autoscaling, cluster autoscaling, and event-driven scaling with KEDA. Our retail platforms scale from baseline to peak demand in under 60 seconds — then scale back down to save costs.
Headless Commerce Architecture
Headless architecture separates frontend presentation from backend commerce logic. Each service scales independently — catalog, search, cart, and checkout can each handle their own peak load without affecting the others.
THNKBIG implements headless commerce on Kubernetes using Apache Kafka for event streaming. Our platforms serve millions of product API requests per day with sub-50ms response times — even during peak traffic when inventory data must be real-time accurate across every channel.
AI Personalization Infrastructure
Personalized recommendations typically improve conversion rate by 10–30%. But real-time personalization only works if your ML infrastructure can serve predictions within the latency budget of each page render.
- Recommendation APIs: under 20ms response time target
- Personalized search: under 100ms with live inventory accuracy
- GPU-accelerated model serving with Triton Inference Server
- A/B testing frameworks for continuous algorithm improvements
For retail companies in Dallas, Houston, Austin, Los Angeles, and nationwide, THNKBIG delivers the AI infrastructure that turns customer data into revenue.
Ready to make AI operational?
Whether you're planning GPU infrastructure, stabilizing Kubernetes, or moving AI workloads into production — we'll assess where you are and what it takes to get there.
US-based team · All US citizens · Continental United States only