Modernizing a High-Load E-Commerce Platform with Headless Architecture
- Client
- SENAT
- Year
- February 24, 2026
- Service
- Architecture Modernization / Headless Migration / Team Leadership

Executive Overview
This project focused on modernizing a high-load e-commerce platform built on 1C-Bitrix without disrupting live business operations. Instead of a risky full rewrite, a pragmatic Headless architecture was introduced, preserving core business logic while dramatically improving frontend performance and scalability.
Business Challenge
- ~28,000 products with complex SKU structure
- Multi-region availability and pricing logic
- Slow catalog navigation and filtering
- SEO-critical structure that could not be broken
- Growing technical debt and release instability
Strategic Architecture Decision
Rather than replacing the legacy PHP backend, we preserved the stable revenue-generating core (orders, pricing, integrations) and decoupled the frontend.
- Backend: 1C-Bitrix (PHP)
- Frontend: Next.js (Headless approach)
- Search & Filtering: Elasticsearch
- CI/CD: GitLab CI + GitHub Actions
- Infrastructure: Dockerized environments
Key Leadership Contributions
- Led cross-functional teams (Backend / Frontend / QA)
- Designed scalable system architecture
- Introduced GitFlow and structured release management
- Implemented automated CI/CD pipelines
- Improved production stability via DevOps practices
- Integrated AI-powered search & recommendation systems
- Implemented ChatGPT-based internal workflow automation
Technical Deep Dive
Headless Migration Strategy
The migration avoided a "big-bang rewrite." The catalog layer was extracted and rebuilt in Next.js while preserving backend business logic. SEO-critical URLs and indexing logic were maintained to prevent ranking loss.
Search Architecture
Elasticsearch was introduced as a dedicated search engine with region-aware indexing. Catalog filtering became near-instant due to optimized query structures and cache layers.
DevOps & Stability
Full Docker-based environments ensured parity across development, staging, and production. Automated pipelines reduced deployment errors and improved release predictability.
Results
- Near-instant catalog navigation and filtering
- Zero SEO ranking loss during migration
- Improved release stability
- Reduced deployment risks
- Increased system scalability
- Improved production reliability
Impact as a Technical Leader
This project demonstrates pragmatic modernization: evolving a revenue-generating legacy system without operational downtime, while significantly improving performance, developer experience, and architectural scalability.