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Measure Before Fixing · Core Web Vitals · Database Query Tuning · Before-and-After Results

Make Your Application Fast, With Numbers to Prove It

Slow pages and timeouts are costing you users, sales and search visibility. We measure where your app loses time, fix the biggest bottlenecks and prove the improvement with before-and-after data.

What Is Application Performance Optimization?


Application performance optimization is the process of making a web application, API or SaaS product faster and able to handle more users by finding and fixing what slows it down. It covers measuring real performance, then improving front-end loading, back-end code, database queries, caching, infrastructure and third-party calls, and confirming the results with before-and-after data.


Codersarts provides application performance optimization services for web apps, APIs, SaaS platforms and e-commerce sites. We measure first, fix the biggest bottlenecks, improve Core Web Vitals and server response times, and prepare your app to handle traffic peaks, often without paying for bigger servers.


Slow pages lose users, sales and search rankings. We find the few bottlenecks causing most of the delay and fix them, with numbers to prove it.


Performance Optimization at a Glance


Question

Answer

What we optimize

Page load speed, Core Web Vitals, API response times, database queries, background jobs and scalability

Stacks

Node.js, Python, PHP, React, Next.js, Vue, Angular, Laravel, Django, PostgreSQL, MySQL, MongoDB

Method

Measure, identify bottlenecks, fix in order of impact, verify with before-and-after data

Tools

Lighthouse, PageSpeed Insights, WebPageTest, Chrome DevTools, APM tracing, query statistics, load testing

Deliverables

Performance report, prioritised fixes, implemented improvements and results

Pricing

Review and fixes estimated in advance, at $50 per hour with your approval

Ownership

All changes made in your repository and accounts



Why Application Speed Matters


  • Users leave slow apps. People abandon pages and checkouts that take several seconds to respond, and rarely come back

  • Search rankings. Google uses Core Web Vitals as part of its page experience signals, so slow pages can lose visibility

  • Conversions and revenue. Faster sign-up, search and checkout flows convert more visitors into customers

  • Infrastructure cost. Inefficient code and queries need bigger servers; fixing them often lowers the cloud bill

  • Reliability. Slow requests pile up under load and turn into timeouts and outages during traffic peaks

  • AI-powered features. Slow model calls, missing streaming and unnecessary repeat requests make AI features feel broken



Core Web Vitals Explained


Core Web Vitals are Google's measures of real user experience on a page. Each has a published "good" threshold, measured at the 75th percentile of real visits.


Metric

What it measures

Good

Largest Contentful Paint (LCP)

How quickly the main content appears

2.5 seconds or less

Interaction to Next Paint (INP)

How quickly the page responds to clicks, taps and typing

200 milliseconds or less

Cumulative Layout Shift (CLS)

How much the layout jumps around while loading

0.1 or less


Time to First Byte (TTFB), how long the server takes to start responding, is not a Core Web Vital, but a slow TTFB delays everything else, so we measure it too.



Where Performance Problems Usually Hide


Layer

Common causes

Typical fixes

Front end

Large JavaScript bundles, unoptimized images, render-blocking scripts and fonts, too many third-party tags

Code splitting, modern image formats and sizes, lazy loading, deferring scripts, removing unused tags

Back end

Slow endpoints, repeated work on every request, synchronous calls to slow services

Profiling, caching results, moving slow work to background jobs, parallel requests

Database

Missing indexes, N+1 queries, large unfiltered queries, lock contention

Indexes, query rewrites, pagination, connection pooling

Caching

No caching, or caches that expire too often

HTTP caching, CDN caching, application and query caching with Redis

Infrastructure

Under-sized servers, servers far from users, no compression

Right-sizing, a content delivery network, HTTP/2 or HTTP/3, compression

Third parties

Slow payment, analytics, chat and AI providers

Timeouts, retries with limits, asynchronous loading and streaming responses



Our Performance Optimization Process


  1. Set goals. We agree which pages, flows and endpoints matter most and what "fast enough" means for each, for example LCP under 2.5 seconds on product pages or API responses under 300 milliseconds.

  2. Measure. We collect real user data where available, run lab tests with Lighthouse and WebPageTest, trace back-end requests and analyse database query statistics.

  3. Find the bottlenecks. We identify where time is actually spent, rather than guessing. In most apps, a few causes account for most of the delay.

  4. Prioritise. You receive a report ranking each fix by expected impact and effort.

  5. Fix. We implement the approved fixes in small, tested changes through your normal deployment process.

  6. Verify. We measure again and report before-and-after results for every target.

  7. Protect the gains. We add performance checks and monitoring so future releases do not quietly undo the improvements.



Database Performance Tuning


The database is the most common cause of slow applications. We look for:


  • N+1 queries, where a page runs one query per item instead of one query for all items

  • Missing or unused indexes, found from query plans and statistics

  • Large queries that load far more rows or columns than the page needs

  • Long transactions and locks that block other requests

  • Connection limits reached during peaks, solved with connection pooling

  • Table bloat and outdated statistics that slow PostgreSQL and MySQL over time


Ongoing database care is available through our Managed Database service.



Front-End Performance


For browser-based applications, we focus on what users feel:


  • Reducing JavaScript sent to the browser through code splitting and removing unused libraries

  • Serving images in modern formats at the right size for each device

  • Loading fonts and third-party scripts without blocking the page

  • Server-side rendering or static generation for pages that do not need to be built in the browser

  • Reserving space for images and ads so the layout does not jump

  • Making interactions responsive by breaking up long tasks on the main thread



Scalability and Load Testing


An app that is fast for one user can still fail for a thousand. Before launches, campaigns or seasonal peaks, we run load tests with tools such as k6 or Locust that simulate realistic traffic, and find the point where response times rise or errors begin. We then fix the bottleneck, whether it is a database limit, a missing cache, a single slow endpoint or an under-sized server, and test again. You receive a clear statement of how much traffic the app handles comfortably today.



Performance Optimization for AI-Powered Apps


  • Streaming responses so users see AI output as it is generated rather than waiting for the whole answer

  • Caching repeated prompts and results where answers do not need to be regenerated

  • Background processing for long AI tasks, with progress updates instead of frozen pages

  • Model choice, using smaller, faster models for simple tasks

  • Timeouts and retry limits so a slow provider does not hold up the whole app


For AI cost reductions, see our LLM Cost Optimization Audit.



Caching Strategy


Caching is often the single biggest performance win, but caching the wrong things causes stale data and bugs. We design caching layer by layer:


Layer

What it caches

Example

Browser

Static files such as scripts, styles, fonts and images

Long cache lifetimes with versioned file names

Content delivery network

Pages and assets close to users around the world

Cloudflare or CloudFront caching for public pages

Application

Results of expensive calculations or API calls

Redis cache for pricing, recommendations or reports

Database

Repeated query results and computed summaries

Materialised views or summary tables for dashboards


Every cache has a clear rule for when it is refreshed, so users never see outdated prices, stock levels or account data.



Performance Budgets


After the fixes, we set simple performance budgets, such as a maximum JavaScript bundle size, a maximum LCP for key pages and a maximum response time for key endpoints. Automated checks in your deployment pipeline warn when a change would break a budget, so performance is protected without anyone having to remember to check.



Performance Optimization vs Bigger Servers


Approach

Effect

Downside

Upgrade to bigger servers

Can help when servers are genuinely overloaded

Costs more every month and does not fix slow code, queries or front-end loading

Add more servers

Handles more users

Adds cost and complexity; database bottlenecks remain

Optimize the application

Fixes the root causes of delay

Needs engineering time once, then saves money every month


We often find that optimization lets an app run on the same or smaller infrastructure. For a review of cloud spending, see our Cloud Cost Audit.



Mobile Performance Matters Most


Most visitors arrive on phones, often over slower networks and on less powerful devices than the laptops used for development. A page that feels instant on a desktop can take several seconds on a mid-range phone. We test on realistic mobile conditions, prioritise fixes that help mobile users most, and use real user data from Google's Chrome User Experience Report and your own analytics, rather than relying only on lab scores from a fast office connection.



Signs Your Application Needs Performance Work


  • Pages take more than a few seconds to show their main content on mobile

  • Google Search Console reports poor Core Web Vitals

  • The app slows down or times out at busy times

  • Customers complain about slow search, dashboards or reports

  • The cloud bill grows faster than your user numbers



Common Quick Wins


In many applications, a few changes deliver most of the improvement:


  • Adding two or three missing database indexes

  • Compressing and resizing the largest images

  • Removing an unused analytics or chat script

  • Caching a slow, frequently requested API response



Who Performance Optimization Is For


  • SaaS products with slow dashboards, reports or search

  • E-commerce and booking sites where speed affects conversion

  • Marketing sites with custom back ends that need better Core Web Vitals

  • Apps preparing for launches, campaigns or seasonal peaks

  • Teams whose apps were built quickly, including with AI coding tools, and now need tuning



What You Receive


  • A performance report with measurements, bottlenecks and a prioritised fix list

  • Implemented fixes, delivered through pull requests

  • Before-and-after results for every agreed target

  • Load test results where included

  • Recommendations for monitoring and keeping performance stable



Performance Optimization Pricing


Performance Review


We measure, profile and report on the agreed pages and endpoints, with a prioritised fix list and estimates. Charged at $50 per hour, with the number of hours agreed in advance.


Performance Fixes and Load Testing


Implemented against the approved estimate at $50 per hour, with before-and-after results.


Ongoing Performance Monitoring


Response time and error monitoring, with alerts and monthly trends, are included in Managed Run, starting at $1,000 per month. See also Application Monitoring.



What Is Not Included


  • Redesigning the user interface or rewriting the application

  • Cloud, content delivery network or tool subscription costs

  • Guaranteed search ranking changes, which depend on many factors beyond speed

  • Optimization of third-party platforms you do not control



Frequently Asked Questions


What is application performance optimization?

It is the process of measuring where an application is slow and fixing the causes in front-end code, back-end code, database queries, caching and infrastructure, then verifying the improvement.

Largest Contentful Paint of 2.5 seconds or less, Interaction to Next Paint of 200 milliseconds or less and Cumulative Layout Shift of 0.1 or less, measured at the 75th percentile of visits.

The most common causes are slow database queries, missing caching, large JavaScript bundles, unoptimized images and slow third-party services. Measurement shows which applies to your app.

Sometimes, but usually only briefly. Slow queries, code and front-end loading stay slow on bigger servers, so we fix the root causes first.

The review and fixes are charged at $50 per hour against estimates you approve in advance.

Yes. We simulate realistic traffic with tools such as k6 or Locust, find the limits and fix the bottlenecks before your peak events.

Yes. We add streaming, caching, background processing, faster models for simple tasks and sensible timeouts.

We measure every agreed target before and after the work and include the results in a report.



Make Your Application Fast Again


Tell us which pages or features feel slow and when the problem happens. We will measure your app and send a prioritised list of fixes.


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