Web performance.

A site that takes three seconds to respond is a site people stop visiting. We profile, instrument and optimize your stack — from CDN to database engine — so speed becomes an edge, not a drag.

Diagnose first

Before changing anything, we measure. Traces, flamegraphs, CPU profiles, query plans. Performance isn't guessed — it's measured, then fixed.

• End-to-end performance audit (front, back, DB)
• Continuous production profiling
• N+1, lock and contention hunting
• Real-user Core Web Vitals measurement
• Architecture review for scalability

Optimize every floor

Tuned Nginx, multi-layer caching, CDN set up right, rewritten SQL queries, indexes placed with judgment, pooled connections. No silver bullet — just meticulous work, layer by layer.

Scalability — 100% uptime, guaranteed

When a client requires real availability and a contractual performance SLA, we don't improvise — we deploy a fully redundant architecture. Here's a representative example: a high-traffic institutional site, two mirrored backends, replicated database, shared cache, common NFS storage, and a front proxy distributing load with least_conn. If one box dies, the other takes over — with no visible outage.

What makes this architecture resilient isn't a magic component — it's the discipline of redundancy. Every stateful piece has a plan B: the database is replicated, files live on shared NFS, the cache is reachable from both nodes, deployments replay via rsync from GitLab. We can take a backend down at noon for maintenance — nobody notices.

• Transparent failover at proxy level (least_conn + healthchecks)
• MariaDB master → replica replication, reads distributed
• Shared Valkey / Redis cache reachable from both app nodes
• Common NFS storage: one source of truth for the code
• Reproducible deploy via GitLab CI + atomic rsync
• Zero-downtime maintenance: drain a backend, fail over, patch, return