Magento 2 Migration and Performance: Online Healthcare Store
Case Study
An online healthcare store needed to leave Magento 1 before end-of-life. We moved the full product catalog, custom extensions, customer accounts, order history and SEO URL structure to Magento 2. Later, when peak search and checkout traffic caused database lock contention, we rebuilt the caching layer and database queries and moved hosting to an auto-scaling AWS setup.
Proof Snapshot
Project Overview
The client runs an online healthcare store. As the catalog and customer base grew, the legacy Magento 1 platform became hard to maintain, so they asked Kevion Technologies to move it to Magento 2 without losing SEO rankings or customer data. After the migration, higher visitor volumes exposed database lock contention and latency, and they brought us back for a performance audit and an infrastructure overhaul.
Business Challenge
Before the migration the store was slow, insecure on an unsupported Magento 1 install, hard to use on mobile and prone to checkout failures, with SEO rankings at risk during any move. After it, peak traffic caused database lock contention and slow search queries, and fixed server provisioning kept hosting bills high.
- ✕Magento 1 platform reached end-of-life, leaving security updates unsupported.
- ✕Website loading times were slow, especially on mobile and during peak traffic.
- ✕Checkout flow was slow and frequently failed during peak traffic.
- ✕Admin panel queries and database locks blocked order processing operations.
- ✕Database CPU saturated during product searches under load.
- ✕High server costs from over-provisioned, non-scaling EC2 instances.
- ✕Checkout sessions dropped due to file-based session handling bottlenecks.
Project Goals
- ✓Migrate from Magento 1 to Magento 2
- ✓Preserve all SEO value
- ✓Stabilize server response time and checkout under peak load
- ✓Configure auto-scaling AWS infrastructure to handle traffic spikes
- ✓Reduce infrastructure hosting costs
- ✓Prepare the platform for future integrations
Technical Architecture
Visual pipeline representing customer requests to backend processing data flows:
Technology Stack
| Layer | Technology |
|---|---|
| Ecommerce | Magento 2 |
| Database | Amazon Aurora MySQL |
| Cache Layers | Redis (Sessions/Object), Varnish (FPC) |
| Search Backend | Elasticsearch |
| Cloud Platform | AWS (EC2, Aurora, ElastiCache, S3) |
| Web Server Node | NGINX + PHP-FPM 8.3 |
| Security & CDN | Cloudflare |
| Version Control | Git |
| Deployment | Terraform & GitHub Actions |
Deployment Team
| Role | Developers Count |
|---|---|
| Project Manager | 1 engineer |
| Magento Developer | 2 engineers |
| Frontend Developer | 1 engineer |
| Infrastructure Architect | 1 engineer |
| Database Administrator | 1 engineer |
| QA Engineer | 1 engineer |
Discovery & Scoping
- 1Magento store audit and performance benchmarking.
- 2Database compatibility analysis for custom EAV schemas.
- 3Extension compatibility review & custom code audit.
- 4SEO URL redirect mapping and preservation strategy formulation.
- 5Performance profiling with database slow-query logs and transaction monitoring.
- 6AWS configuration, network and security policy review.
Execution Phases
Phase 1: Migration: Audit and planning
Magento store assessment, backup strategy, risk analysis, Magento 2 environment provisioning, database migration dry-runs and SEO planning.
Phase 2: Migration: Development and testing
Theme redevelopment, custom module migration, third-party integrations, then functional, checkout, mobile, performance and security testing.
Phase 3: Migration: Production launch
Zero-downtime cutover via DNS switch, cache warm-up, final QA, and monitoring.
Phase 4: Performance: Cache and search restructure
Profiled transactions and traced database locks, then configured Varnish for FPC, moved sessions and objects to Redis, and offloaded search to Elasticsearch.
Phase 5: Performance: AWS overhaul and tuning
Designed an auto-scaling multi-AZ architecture on Nginx nodes and Amazon Aurora MySQL, then tuned indexes and PHP-FPM memory limits.
Phase 6: Performance: Load testing and go-live
Load-tested heavy concurrent checkout traffic and switched over with no disruption.
Before vs. After
| Before | After |
|---|---|
| Magento 1 (end-of-life) | Magento 2 (supported) |
| Slow page loads under traffic | Consistently fast page loads |
| Frequent checkout failures | Stable checkout with no dropped sessions |
| Database CPU saturated under load | Database CPU comfortably within headroom |
| Over-provisioned fixed hosting | Auto-scaling AWS cloud setup |
| Manual deployment | CI/CD pipeline |
Performance Improvements
Development Timeline
Technical Problems Solved
✕Migrating legacy custom extensions
Solution: Re-engineered custom pricing logic into Magento 2 plug-in architecture while ensuring full compatibility.
✕Preserving SEO-friendly URLs
Solution: Formulated complete redirect maps for legacy catalog paths to prevent index drops or 404 spikes.
✕Preventing data inconsistencies
Solution: Executed automated validation scripts between source and target databases during dry-run synchronizations.
✕Database deadlock anomalies
Solution: Identified overlapping cron indexing jobs that locked inventory tables. Rescheduled cron events to run off-peak and tuned Aurora transaction isolation levels.
✕Varnish cache invalidation bugs
Solution: Modified Magento's caching tags layout to ensure catalog updates successfully purged Varnish edge paths without clearing the full page cache.
Business Results
Lessons Learned
- •SEO preservation must be part of the migration strategy from day one.
- •Early architecture planning reduces migration risk.
- •Offloading catalog query loads to Elasticsearch is critical to prevent database locking.
- •Auto-scaling structures must be configured with warm connection pooling for databases.
- •Automated deployments reduce production errors.
Why Kevion Technologies
- ✦Experienced Magento engineers.
- ✦Structured migration process.
- ✦Performance work grounded in clear before/after profiling.
- ✦Direct, hands-on developer access with no account managers.
- ✦Long-term support after launch.
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