> ## Documentation Index
> Fetch the complete documentation index at: https://kw.hellenictechnologies.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Performance Overview

> Infrastructure performance tuning for speed and scale.

Performance is a feature. Slow infrastructure costs conversions, increases bounce rates, and frustrates users — and it is almost always fixable. Hellenic Technologies approaches infrastructure performance systematically: measure first, then optimise. We establish performance baselines, identify bottlenecks, implement targeted optimisations, and verify improvements with benchmarks. No guessing, no cargo-culting configuration changes that don't move the needle.

The most impactful performance optimisations are architectural: putting a CDN in front of static assets eliminates round-trips to origin; adding a Redis cache in front of a database eliminates repeated expensive queries; horizontal auto-scaling prevents resource saturation during traffic spikes. We implement these high-leverage changes first before tuning individual components. A well-architected stack with defaults often outperforms a poorly architected stack with every parameter tuned.

At the server level, performance comes from correct configuration of the application runtime and database engine for the workload. PHP-FPM pools sized for actual concurrent request volume, MySQL query cache and buffer pool configured for the dataset size, Nginx worker processes matched to CPU count — these parameters are workload-specific, not universal. We profile before tuning and verify after, documenting the baseline, change, and improvement for every optimisation.

**Infrastructure performance services:**

* Performance baseline establishment and bottleneck identification
* CDN integration for static asset and dynamic content acceleration
* Redis and Memcached caching layer design and implementation
* Database query optimisation: slow query analysis, index recommendations
* Auto-scaling configuration: triggers, cooldown periods, and capacity planning
* Server configuration tuning: web server, PHP-FPM, database engine parameters
* Load testing with k6 or Locust to validate performance under expected traffic
* Core Web Vitals optimisation: TTFB, LCP, FID, and CLS measurement
* Connection pooling configuration for database and service connections
* Performance monitoring dashboards with SLO tracking and alerting