Infrastructure that scales
with your revenue.
Autoscaling for Black Friday traffic, global CDN optimization, multi-region deployment, and real-time inventory sync — cloud architecture engineered for e-commerce performance, reliability, and cost efficiency.
Where the right infrastructure protects revenue.
Four scenarios where we consistently see e-commerce businesses unlock performance, reliability, and cost savings through better cloud architecture.
Traffic Spike Autoscaling
Before
Black Friday crashes the site for 45 minutes — $380K in lost revenue. Engineering pre-provisions 10x capacity for 3 days to cover a 4-hour peak. The rest of the year, 70% of provisioned capacity sits idle. Every flash sale is a risk event.
After
Autoscaling infrastructure that handles 50x traffic spikes without manual intervention. Predictive scaling pre-warms capacity before marketing pushes. Post-peak, resources scale back to baseline within minutes. Flash sales are a revenue event, not a risk event.
99.99% uptime on peak days
CDN & Edge Optimization
Before
Product pages loading in 3.2 seconds on mobile. Images served at full resolution regardless of device. No edge caching — every request hits the origin. International customers experiencing 4-5 second loads. Page speed costing an estimated 15% in conversion.
After
95% of storefront requests served from edge cache. On-demand image resizing delivers device-appropriate formats. Product pages load in under 1 second globally. Edge compute personalizes prices and availability without origin round-trips.
68% faster page loads
Multi-Region Deployment
Before
Single US-East deployment serving global customers. EU customers experiencing 300ms+ latency on checkout. GDPR compliance uncertain — customer data stored only in US region. Australian and Asian markets underperforming despite strong demand signals.
After
Active-active deployment in US, EU, and APAC with automated failover. Customer data stored in jurisdiction-compliant regions. Checkout latency under 100ms globally. Each region scales independently based on local traffic patterns.
Sub-100ms global latency
Real-Time Inventory Sync
Before
Inventory updates batch-process every 15 minutes. Customers purchase out-of-stock items during the sync gap — 8% of orders require cancellation emails. Marketplace listings show stale quantities. Warehouse and POS systems diverge throughout the day.
After
Event-driven inventory sync across all channels — website, marketplaces, POS, warehouse — with sub-second propagation. Available-to-promise calculations prevent overselling. Inventory reservations held during checkout to eliminate race conditions.
Zero oversell incidents
Built for the teams who own uptime and performance.
VP of E-Commerce
Every major sale event is a risk. Your infrastructure can't handle traffic spikes without over-provisioning, and the cloud bill keeps climbing without corresponding revenue growth. You need infrastructure that scales with demand and costs scale with revenue.
CMO planning aggressive growth
Your marketing drives traffic but the site can't handle it. Flash sale emails crash the storefront. International campaigns underperform because of latency. You need infrastructure that turns marketing investment into revenue, not outage reports.
Head of Customer Experience
Customers in Europe and Asia experience slow checkout. Inventory discrepancies cause oversell cancellations that damage trust. Order status is delayed because systems sync in batches. You need real-time, globally consistent infrastructure.
CTO managing cloud spend
Your cloud bill is 40% higher than it should be. Resources are over-provisioned to avoid outages. Nobody knows which services drive which costs. You need an architecture optimized for e-commerce economics — pay for peak performance, not peak provisioning.
From bottlenecks to bulletproof infrastructure.
Traffic Pattern Analysis
We analyze your traffic history, seasonal patterns, marketing calendar, and growth projections. We map every system in your commerce stack — storefront, OMS, WMS, ERP, payment processors — and identify bottlenecks, single points of failure, and scaling limits.
Scalable Architecture Design
We design the target architecture — compute strategy (containers, serverless, or hybrid), database topology, caching layers, CDN configuration, and multi-region strategy if needed. Every design decision is documented with rationale and cost projections.
Migration & Load Testing
We migrate workloads incrementally — no big-bang cutovers. Each component is load-tested with realistic traffic patterns (including spike scenarios) before going live. Rollback plans are tested and documented for every migration phase.
Monitoring & Cost Optimization
We deploy comprehensive observability — real-time dashboards, alerting on SLO violations, distributed tracing, and cost anomaly detection. Monthly optimization reviews identify right-sizing opportunities, pricing model changes, and architectural improvements.
Questions about cloud infrastructure for e-commerce.
How do you handle traffic spikes like Black Friday without over-provisioning?
We design autoscaling architectures that respond to demand in real time rather than pre-provisioning for peak. The approach depends on your stack: for containerized workloads (ECS, EKS, or Kubernetes), we configure horizontal pod autoscaling based on request rate, CPU, and custom metrics like cart additions per second. For serverless components (Lambda, CloudFront Functions), scaling is automatic. For databases, we use read replicas with connection pooling, or Aurora Serverless v2 which scales compute in increments of 0.5 ACU without connection drops. We also implement predictive scaling — using historical traffic patterns (last year's Black Friday data, marketing calendar) to pre-warm capacity 30 minutes before anticipated spikes. Load testing with realistic traffic patterns validates the scaling behavior before every major sale event.
What is the right CDN strategy for an e-commerce storefront?
A well-configured CDN should serve 85-95% of storefront requests from edge cache, keeping origin load minimal. We implement a multi-layer caching strategy: static assets (images, CSS, JS) get long TTLs with cache-busting hashes; product listing pages get short TTLs (60-300 seconds) with stale-while-revalidate so they're always fast but never more than a few minutes stale; product detail pages use edge-side includes (ESI) or edge compute to personalize price and availability while caching the page shell; and checkout/cart pages bypass cache entirely. For images specifically, we implement on-demand resizing at the edge — a single source image generates device-appropriate sizes without storing every variant. This typically reduces image bandwidth by 40-60% and eliminates the need to pre-generate image variants during product imports.
How do you maintain PCI compliance in a cloud environment?
PCI compliance in the cloud is about reducing scope, not building a fortress. We architect the payment flow so cardholder data never enters your environment — payment forms use tokenized elements from Stripe, Braintree, or Adyen that submit directly to the processor. This keeps your infrastructure at SAQ A or SAQ A-EP level. Beyond payment isolation, we implement defense-in-depth: VPC segmentation with private subnets for application and database tiers, security groups restricting traffic to minimum required paths, WAF rules protecting against OWASP Top 10, encrypted data at rest (AES-256) and in transit (TLS 1.3), CloudTrail audit logging with tamper-proof log storage, and automated vulnerability scanning. We deliver a PCI compliance matrix documenting which controls are handled by AWS (physical security, hypervisor), which by our architecture (network segmentation, encryption), and which require your operational procedures (access reviews, incident response).
How do you optimize cloud costs for e-commerce workloads?
E-commerce workloads have a unique cost profile — highly variable traffic (10x or more between baseline and peak), heavy image/media serving, and database-intensive catalog operations. We optimize across four dimensions. First, right-sizing: we analyze actual resource utilization and downsize over-provisioned instances — most e-commerce sites are running 2-4x more compute than they need during off-peak. Second, pricing models: Reserved Instances or Savings Plans for baseline capacity, Spot Instances for batch processing (image resizing, report generation, search indexing), and on-demand only for the spike delta. Third, CDN offloading: moving static and semi-static content to the edge reduces origin compute by 60-80%. Fourth, database optimization: read replicas for catalog queries, caching layer (ElastiCache) for session and product data, and connection pooling to maximize throughput per instance. Typical savings: 35-50% reduction in monthly cloud spend without performance regression.
When should an e-commerce business go multi-region versus staying single-region?
Single-region with a global CDN is sufficient for most e-commerce businesses — even those selling internationally. The CDN handles latency-sensitive content (pages, images, assets) and the origin round-trip for checkout and API calls adds 100-200ms for distant users, which is acceptable for most transactions. Multi-region becomes necessary when: (1) you have regulatory requirements to store customer data in specific jurisdictions (GDPR data residency, China's PIPL), (2) your checkout conversion data shows meaningful drop-off from high-latency regions, (3) you need 99.99%+ availability and single-region failover isn't sufficient, or (4) you operate physical fulfillment in multiple regions and need low-latency inventory sync. Multi-region adds significant operational complexity — database replication, conflict resolution, deployment orchestration, cost doubling — so we recommend it only when the business case justifies the engineering investment.
E-commerce cloud experts, not generic DevOps
Generic cloud consultancies optimize for availability. We optimize for revenue. Every architecture decision — autoscaling policy, caching strategy, database topology — is evaluated against its impact on conversion rate, page speed, and cost per transaction. As a US LLC with LATAM cloud engineering talent, we deliver senior infrastructure architects and DevOps engineers at 40-60% less than US-only agencies, with the e-commerce domain knowledge to make the right trade-offs.
Revenue-aware architecture
Every decision optimized for conversion and cost efficiency
40-60% cost savings
US LLC + LATAM delivery — senior talent, competitive rates
Ready to build infrastructure that scales with demand?
Tell us about your current infrastructure challenges — traffic spikes, slow page loads, high cloud costs, or inventory sync issues. We'll analyze your architecture and show you where performance and cost improvements are available.