DB
Database optimization
Query profiling, indexes, optimal schemas.
Performance
Practices for stores that handle peaks
Methods that deliver results in the first sprint: faster catalogs, stable checkout, and predictable performance during sales.
Focus
01
Catalog caching and personalization without slowdowns.
02
Fast filters, search, and pagination.
03
Metrics, alerts, and load testing.
Cache
Multi‑layer cache
Controlled cache at component, data, and HTTP levels. I isolate hot catalog segments and personalized blocks.
Catalog
Catalog optimization
Indexing, denormalization, and optimal filters for 100k+ SKUs.
Infra
Infrastructure and CDN
Horizontal scaling, media CDN, queues, and background jobs.
What the project includes
Techniques tailored to load, seasonality, and traffic profile.
Search
Search and filters
Fast search, relevance, and result caching.
QA
Load testing
Scenarios, stress tests, reports, and checklists.
How I measure impact
I track metrics before and after optimization to show real impact.
01
TTFB, LCP, catalog and search speed.
02
5xx errors, DB load, background job queues.
03
Cart conversion and checkout speed.
Load testing
Load scenarios
Scenarios for real peaks: checkout, payments, and search.
Observability
Monitoring and alerts
Alerts, error logs, monitoring disks, DB, and queues.
Typical optimization plan
A step‑by‑step approach that reduces risks and delivers quick wins.
Week 1
Audit and prioritization
Metrics, logging, bottleneck map.
Week 2
Quick improvements
Caching, indexes, filter and search optimization.
Week 3+
Scaling
CDN, queues, background jobs, resilience.
Need a performance audit?
I will prepare an optimization plan and a list of quick wins for your store.