Magento 2 Performance
Infrastructure Modernization
A leading online healthcare retailer in India running on Magento 2 faced significant performance scaling issues during peak search and checkout loads. Kevion Technologies rebuilt their caching layer, database query pathways, and modernized their hosting infrastructure with an auto-scaling AWS configuration.
Project Metrics
Project Overview
The client operates a major online healthcare store in India. Following their initial Magento 2 migration, they experienced database lock contentions and latency issues under high visitor volumes. They engaged Kevion Technologies to run a complete performance audit and infrastructure modernization.
Business Challenge
Under peak traffic, database lock contention and slow database search queries caused slow load times and checkout failures, while legacy server provisioning led to high hosting bills.
- ✕Database CPU utilization spiked to 100% during product searches.
- ✕Page load times degraded from 3s to over 8.2s under concurrent user load.
- ✕High server costs from over-provisioned, non-scaling EC2 instances.
- ✕Checkout sessions frequently dropped due to file-based session handling bottlenecks.
Project Goals
- ✓Stabilize server response time under 300ms.
- ✓Achieve sub-2-second page load times globally.
- ✓Configure auto-scaling AWS infrastructure to handle traffic spikes.
- ✓Reduce infrastructure hosting costs by at least 20%.
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 Enterprise |
| Deployment | Terraform & GitHub Actions |
Deployment Team
| Role | Developers Count |
|---|---|
| Infrastructure Architect | 1 engineer |
| Magento DevOps Engineer | 2 engineers |
| Database Administrator | 1 engineer |
| QA Load Tester | 1 engineer |
Discovery & Scoping
- 1Performance Profiling: Used database slow-query logs and transaction monitoring to trace bottlenecks.
- 2Architecture Auditing: Reviewed AWS configuration, network topography, and security policies.
- 3Index Assessment: Scanned database indexes and EAV schema tables for overhead.
Execution Phases
Phase 1: Phase 1: Performance Audit
Profiled web transactions, indexed tables, and traced database locks to locate bottlenecks.
Phase 2: Phase 2: Cache & Search Restructure
Configured Varnish for FPC, migrated sessions/objects to Redis, and offloaded search to Elasticsearch.
Phase 3: Phase 3: AWS Infrastructure Overhaul
Designed an auto-scaling multi-AZ architecture using Nginx nodes and Amazon Aurora MySQL databases.
Phase 4: Phase 4: Database & Query Tuning
Optimized database indexes, cleaned up search logs, and tuned PHP-FPM memory limits.
Phase 5: Phase 5: Load Testing & Go-Live
Executed load testing simulating 10,000 concurrent checkouts and launched with zero disruption.
Before vs. After
| Before | After |
|---|---|
| 8.2s page load time | 1.8s page load time |
| Database CPU at 100% under load | Database CPU steady below 35% |
| Over-provisioned fixed hosting | Auto-scaling AWS cloud setup |
| Frequent checkout failures | Stable checkout with zero dropped sessions |
Performance Improvements
Development Timeline
Technical Problems Solved
✕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
"Kevion Technologies restructured our infrastructure and optimized our store. Our load times have cut down significantly, and the platform has remained rock-solid through traffic spikes."
Lessons Learned
- •Offloading catalog query loads to Elasticsearch is critical to prevent database locking.
- •Auto-scaling structures must be configured with warm connection pooling for databases.
- •Edge page caching via Varnish solves the majority of perceived latency problems.
Why Kevion Technologies
- ✦Magento-specialized infrastructure and database engineering team.
- ✦Direct, hands-on developer access with no account managers.
- ✦Performance-focused optimizations backed by transparent metrics.
Planning a complex platform migration or custom integration?
Let's discuss your project parameters. Get a free custom scoping estimate and architecture consultation with our senior engineering team.
Related Services & Resources
Explore the service capabilities and guides behind this project.
Ready to Start Building?
Tell us about your project. We respond to all enquiries within 4 business hours (Mon–Sat, 9am–7pm IST) with a plan, timeline, and quote — no obligations.
Not ready for a full build? Start with a free consultation or a paid, fixed-scope discovery — see how we keep it low-risk.
General Enquiries
info@keviontechnologies.in
Support
support@keviontechnologies.in
Call Us
+91 75730 55757
Our Promise
Every inquiry is reviewed by a senior team member. You'll receive a personalised response — not a template — within 4 business hours (Standard hours: 8am-11pm IST. Global time zones supported via appointment).