Faster pages, smaller infrastructure bills.

Core Web Vitals

LCP, INP and CLS brought inside Google's thresholds and held there, measured on real visits rather than lab scores.

Front-end delivery

JavaScript, images, fonts and rendering optimised so the browser paints usable content sooner and stays responsive.

Edge & caching architecture

Serving from the edge and caching the right things, so origin servers are hit less often and responses arrive faster.

Database & query optimisation

The slow queries and missing indexes behind most tail latency, found and fixed at the source rather than masked.

Load & scale readiness

Load-tested headroom before your peak, so campaigns and trading spikes are an event you planned for, not survived.

Cost per request

The infrastructure bill treated as a metric: less work per request means the same traffic on smaller, cheaper servers.

Performance engineering is the discipline of making a system fast and cheap to run at the same time — from the browser rendering the page to the database answering the query. It treats speed as a measured engineering property, not a one-off tuning pass, so pages stay quick and infrastructure bills stay proportionate as traffic grows.

Core Web Vitals are Google's field metrics for real user experience: Largest Contentful Paint (loading), Interaction to Next Paint (responsiveness) and Cumulative Layout Shift (visual stability). The 2025 'good' thresholds are LCP under 2.5 seconds, INP under 200 milliseconds and CLS under 0.1, measured at the 75th percentile of real visits.

Usually, yes. Core Web Vitals are a Google ranking signal, so passing them removes a handicap in search, and faster pages consistently lift conversion because fewer visitors abandon while waiting. We report both search and revenue impact rather than page-speed scores in isolation.

Yes, both — because a fast front end on a slow back end still feels slow. We work across the browser (JavaScript, images, fonts, rendering), the delivery layer (edge, caching, compression) and the server (database queries, application code, infrastructure), so the whole path from click to content is engineered together.

By making each request do less work: caching at the edge so origin servers are hit less often, tuning database queries so they use less CPU and memory, and removing wasteful compute. Cost per request falls, so you serve the same or higher traffic on smaller, cheaper infrastructure.

Most engagements run six to twelve weeks from diagnostic to handed-over improvements, depending on how deep the problems reach. We start with a two to three week diagnostic that measures the real bottlenecks, so effort goes to the changes that move the numbers rather than guesswork.