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Modernizing a High-Load E-Commerce Platform with Headless Architecture

Client
SENAT
Year
February 24, 2026
Service
Architecture Modernization / Headless Migration / Team Leadership
Screenshot 2026-02-24 at 16.22.47.png

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.