Optimise

Performance optimisation

Faster load times, lower API latency, and a smaller cloud bill — found by measuring, not guessing.

The problem

Performance problems are almost never where you think they are

The slow page is blamed on the frontend. The frontend blames the API. The API blames the database. Usually it is one query, one missing index, or one uncompressed asset — and it takes a profiler, not an opinion, to find it. We measure first and fix what the data points to.

What we do

What's included

Core Web Vitals and frontend load performance
API response time profiling and optimisation
Database query analysis and index review
Caching strategy — CDN, application, and database layer
Bundle size and asset delivery review
Cloud resource right-sizing and cost reduction

Stack we use here

Lighthouse
PostgreSQL
Redis
CloudFront
Node.js
Next.js

How it runs

Process

01
Measure baseline
Real numbers before any changes. Core Web Vitals, API p95 latency, slow query log — whatever is relevant to the problem.
02
Find the bottleneck
Profiling, not guessing. The fix is only as good as the diagnosis.
03
Fix and verify
Changes made one at a time so the impact of each is measurable. No bundled rewrites that make attribution impossible.
04
Document and hand over
What we changed, why, and what to watch so the gains do not quietly disappear.

Deliverables

What you end up with

Baseline and post-optimisation performance report
List of changes made with before/after measurements
Recommendations for ongoing monitoring
Documentation of any architectural changes

FAQ

We will not quote a number before we have measured. What we can say is that most applications have one or two high-impact issues that account for most of the problem — and those are usually fixable.

Rarely. Most performance problems are solved by targeted fixes — a query, a cache, an asset pipeline. We will tell you if something structural needs to change.

Where this sits

This is one stage of four. We do all of them.

01DesignDiscovery, UX flows, and a UI system.
02BuildWeb, mobile, and backend.
03DeployCloud infrastructure and CI/CD.
04RunMonitoring, scaling, and support.

Let's talk

What's included

Core Web Vitals and frontend load performance
API response time profiling and optimisation
Database query analysis and index review
Caching strategy — CDN, application, and database layer
Bundle size and asset delivery review
Cloud resource right-sizing and cost reduction

Stack we use here

Lighthouse
PostgreSQL
Redis
CloudFront
Node.js
Next.js

Process

Measure baseline

Real numbers before any changes. Core Web Vitals, API p95 latency, slow query log — whatever is relevant to the problem.

Find the bottleneck

Profiling, not guessing. The fix is only as good as the diagnosis.

Fix and verify

Changes made one at a time so the impact of each is measurable. No bundled rewrites that make attribution impossible.

Document and hand over

What we changed, why, and what to watch so the gains do not quietly disappear.