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Enterprise Software & Cloud Modernization

HyperScale — Monolith Decoupling & High-Throughput Commerce Cloud

Modernization of legacy retail architecture into event-driven Kubernetes microservices handling 85,000 peak orders/minute.

CLIENT SECTOR
Omnichannel Retail & E-Commerce
SCALE / VOLUME
85,000/min (Peak Orders Processed with Zero Downtime)
HyperScale — Monolith Decoupling & High-Throughput Commerce Cloud
85,000/min

Peak Black Friday orders processed without degradation

100%

Zero downtime achieved across 4 consecutive peak holiday seasons

68% Lower

Cloud infrastructure operational spend via Kubernetes autoscaling

< 80ms

Global edge cache response latency via Cloudflare Workers

EXECUTIVE SUMMARY

Project Overview

AltosForge led the cloud-native modernization of a 15-year-old monolithic enterprise retail system into a decoupled, event-driven Kubernetes architecture. Handling 85,000 orders per minute during Black Friday flash sales, the system cut cloud infrastructure costs by 68% while delivering 100% availability across 4 consecutive peak seasons.

THE BOTTLENECK

Cascading Failures During Peak Traffic and Frozen Deployment Cycles

✕

The retailer suffered catastrophic multi-hour outages during peak holiday sales, costing an estimated $4.2M in abandoned carts.

✕

A single database bottleneck in the monolithic Java application locked checkout queues when inventory levels changed.

✕

Deploying even minor UI tweaks required 8-hour weekend downtime windows and months of regression testing.

✕

Infrastructure costs were ballooning due to over-provisioned, idle on-premise servers throughout the off-season.

ENGINEERING SOLUTION

Strangler Fig Migration to Event-Driven Microservices with Kafka & Edge Caching

We executed a zero-downtime phased migration replacing the monolithic core with scalable microservices and edge computing.

✓

Distributed Kafka Event Sourcing Core

Decoupled order placement from inventory updates, eliminating database lock contention during traffic surges.

✓

Amazon EKS Auto-Scaling Pod Cluster

Kubernetes infrastructure automatically scaling from 20 to 600 pods in response to incoming HTTP request queue depth.

✓

Global Edge Caching on Cloudflare Workers

Static product catalog and dynamic pricing cache distributed across 300+ global edge locations with sub-80ms response.

✓

Automated Canary GitOps Deployment Pipeline

ArgoCD deployment pipeline enabling continuous 5-minute production deployments with automatic rollback on error spike.

PRODUCTION ARCHITECTURE

Technology Stack & Infrastructure

Java Spring Boot 3Go (Golang)Apache KafkaCloudflare WorkersRedis EnterpriseAmazon EKSPostgreSQLTerraformDatadog
“

For the first time in our company history, Black Friday was a calm, non-event for our engineering leadership. Not a single customer experienced a slowdown or error.

David Chen
Chief Information Officer • Omnichannel Retail Enterprise

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