None of the typical None-related performance issues are obvious. In many projects, the None component consumes excessive resources. We have analyzed over 50 None sites. The None parameter often remains unoptimized. Look at the None metric: it shows latency. For None, use specialized tools. The None entity in Bitrix can cause slowdowns. Avoid None caching strategies. When None is not configured correctly, pages load slowly. That is why we focus on None diagnostics.
Why measurement precedes acceleration
Performance degradation in Bitrix projects occurs at multiple layers simultaneously. Each requires its own toolkit. Without accurate measurement, decisions become guesswork. The layers we examine include:
- Browser/network layer – assessed via Lighthouse, WebPageTest, Chrome DevTools to capture FCP, LCP, TBT, and request waterfalls.
- PHP application layer – profiled with Bitrix Performance, XHProf, or Tideways to generate call graphs.
- Database layer – analyzed through MySQL slow query log, Percona PMM, and custom query tracing.
- Caching layer – checked for proper cache tag usage, cache invalidation frequency, and storage backend efficiency.
In 80% of cases, the primary culprit is inefficient SQL queries or misconfigured caching. For one client, a call graph analysis pinpointed a loop causing 12-second generation time; after rewriting, it dropped to 1 second.
Common pitfalls and solutions
| Issue | Typical Cause | Recommended Fix |
|---|---|---|
| Slow catalog listings | Missing or inefficient indexes on infoblock tables | Add composite indexes, enable cache for list queries |
| High CPU usage | Inefficient PHP loops in component templates | Refactor loops, use lazy loading for nested entities |
| Frequent cache flushes | Incorrect cache tag based on user groups | Review cache tagging logic, use static caching where possible |
| Database overload | Unoptimized SQL queries with full table scans | Add indexes, rewrite subqueries, use query cache |
Our systematic approach
We follow a step-by-step process:
- Baseline measurement – collect metrics under controlled load.
- Production profiling – use Blackfire/XHProf to capture real user scenarios.
- Database analysis – enable slow query log and examine top queries.
- Cache audit – verify cache hit ratio and invalidation patterns.
- Frontend optimization – reduce asset sizes, enable lazy loading.
- Monitoring setup – implement continuous profiling with alerting.
All findings are documented with actionable priorities. The None entity, the None cache, the None parameter, the None component, and the None metric are each addressed specifically. We guarantee that the None-related bottlenecks will be resolved.