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Shopware 6 Migration and Custom DevOps Implementation for Pet Retail E-commerce Platform

softkraft.co

Retail

eCommerce

Consumer products & services

Key Challenges Identified in Current System

Structural deficits in existing Shopware 5 system, failed migration attempts to Shopware 6, incompatible CrefoPay plugin for headless architecture, lack of DevOps processes, and need for customized plugins to support advanced e-commerce features

About the Client

Pet retailer since 1969 operating 22 retail stores and 2 online shops in Germany & Austria, specializing in exclusive brands, animal-friendly livestock units, and digital adoption centers

Project Objectives and Goals

Successfully migrate from Shopware 5 to Shopware 6
Develop custom plugins to address missing functionality
Implement headless checkout/payment integration with payment gateways
Establish DevOps processes with AWS Fargate containerization
Improve storefront performance and SEO capabilities

Functional Requirements Overview

Data migration from Shopware 5 to Shopware 6
Custom plugin development for Shopware 6
Headless checkout system with dynamic payment gateway integration
Figma-based high-fidelity storefront design implementation
CI/CD pipeline with Gitlab and Postman automated testing

Preferred Technologies and Frameworks

Shopware 6

PHP (backend)

Vue.js (Storefront & Admin)

AWS Fargate

Gitlab CI/CD

Postman

Required System Integrations

CrefoPay payment gateway
AWS CloudWatch Logs
BlueMatador monitoring
CloudFormation templates
External stock management system

Key Non-Functional Requirements

Auto-scaling containerized applications
Sub-second storefront response times
99.9% system uptime SLA
PCI-DSS compliant payment processing
Real-time monitoring with anomaly detection

Estimated Business Impact and Benefits

300% improvement in storefront response times, 50% reduction in manual stock management efforts, enhanced SEO capabilities for increased organic traffic, scalable containerized architecture supporting 10x traffic growth, and automated testing workflows reducing deployment risks by 70%