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DevOps & Ops

Performance Optimisation

Making applications faster where it is actually slow: measured first, fixed at the cause, and verified against real user data rather than a lab score.

Overview

Performance work goes wrong when it starts from a list of general recommendations rather than from a measurement. Teams spend a sprint on image formats when the actual delay is one database query running on every page load, or optimise a page that nobody visits.

The sequence that works is measure, find the largest contributor, fix that, measure again. It is less satisfying than a checklist and it produces most of the gain from a small number of changes.

Who this is for

  • Companies whose site is slow and nobody knows which part
  • Businesses failing Core Web Vitals with conversion suffering for it
  • Teams whose application degrades under load in ways they cannot predict
What's included

How we approach performance optimisation

The specific pieces of work a typical engagement covers. Scope is agreed up front — nothing here is a surprise line item later.

  • Real user measurement

    Performance as your actual visitors experience it, on their devices and connections, rather than from a test machine on a fast line.

  • Profiling

    Finding where the time actually goes: server, database, network or rendering. Usually one of these dominates and the rest are noise.

  • Front-end optimisation

    Bundle size, image handling, font loading and render-blocking resources, addressed in order of measured impact.

  • Back-end and database

    Query analysis, indexing and caching. A single unindexed query is frequently the whole problem.

  • Caching strategy

    What can be cached, for how long, and how it is invalidated. Caching without a clear invalidation plan creates worse problems than it solves.

  • Load testing

    Behaviour under realistic traffic, including what happens when a dependency slows rather than fails.

How it runs

From first call to measured result

The same sequence every time, so you always know what happens next.

  1. Measure

    Instrument real user monitoring and establish a baseline before changing anything.

  2. Find the cause

    Profile until the largest contributor is identified rather than guessed at.

  3. Fix

    Address the biggest item, then re-measure. Repeat while the return is still worth the effort.

  4. Protect

    Add performance budgets and monitoring so regressions are caught in the pipeline rather than by customers.

Why it's worth doing

Outcomes, not deliverables

A pile of artefacts isn't progress. These are the changes the work is meant to produce — and what we report against.

  • Faster where it matters

    Measuring first means effort goes to the pages and paths people actually use.

  • Conversion and ranking together

    Core Web Vitals improvements affect both search visibility and conversion rate, which makes them unusually easy to justify.

  • Predictable under load

    Load testing turns capacity from an assumption into a known figure.

  • Regressions caught early

    Performance budgets in the pipeline stop the slow drift back that follows most optimisation projects.

Questions

Common questions about Performance Optimisation

The things people ask before they get in touch. If yours is not here, ask us directly.

Why is our site slow?

It could be almost anything, and guessing is why performance projects fail. The most common single causes we find are an unindexed database query on a common path, oversized images, and third-party scripts. Which one applies to you needs measuring.

Do lab scores like Lighthouse matter?

As a diagnostic, yes. As a target, they mislead, because they measure one page on one simulated device. Real user monitoring on your actual traffic is what should drive decisions and what search engines use.

How much faster can we realistically get?

It depends entirely on the cause. Sites with one dominant problem often improve dramatically from a single fix. Sites that are broadly heavy improve gradually across many changes. The measurement stage tells us which you are within days.

Will performance work help our search rankings?

Somewhat directly through Core Web Vitals, and more indirectly through conversion and engagement. It is rarely the largest SEO lever available, and it is one of the few that improves revenue at the same time.

Thinking about Performance Optimisation?

Tell us what you are trying to change. If we are not the right fit we will say so, and point you somewhere better.

Looking at the wider picture?

Performance Optimisation usually sits alongside other work in DevOps, Infrastructure & Technical Operations. Browse the full area to see what it connects to.

All of DevOps, Infrastructure & Technical Operations