Frontend Performance

About industry

User-friendly experiences are important in a lot of applications that are now fashioned to be digital. Performance test automation by QO-BOX is dedicated to keeping frontend performance healthy, at your place. Our approach is to discover inefficiencies in response times and ways to level-set them at the UI layer. Now we are using Automated performance stress testing to find key scenarios like page load time, how rapidly pages are rendering, and the responsiveness of UI. Using the latest tools and frameworks, we create realistic scenarios to test recipe creation/edit/display functionality. A comprehensive approach is followed- A- UI Performance Testing for stringent user interactions and their efficiencies (measuring what flows down to what is reduced to what reaches) API Performance Testing to Ensure Back End Integration is Smooth Infrastructure Monitoring for CPU and memory/Network inefficiencies Due to our tested pipeline and automation of every change through CI (continuous Integration) — we improve performance leading to better user experience, and reliability. This makes sure that the QO-BOX's frontend can easily and quickly be provided for its users.

Key Approaches

Benchmarks

Determine Response time thresholds and Optimize UI workflows

LOAD Testing with

Lighthouse, Selenium, Cypress, or Playwright — Automated UI Testing 1 API optimization using JMeter or Postman to make a responsive backend.

Integration of CI/CD

Implement SL Automation via Jenkins GitHub Actions, Azure DevOps Code & Resource Optimization — Lower asset load time and enable lazy loading and caching. Observing Infrastructure Metrics: FCP, LCP & TTI; monitor CPU Memory Network usages.

Code & Resource Optimization

Lower asset load time and enable lazy loading and caching. Observing Infrastructure Metrics: FCP, LCP & TTI; monitor CPU Memory Network usages.

Benefits

Before the User Experience is Enhanced – Page load times improve, transitions between pages are frictionless and the UI latencies are minimized. Detect performance bottlenecks early – Before the users notice the UI/API being slow.

Scalability & Reliability

Validates that UI is functioning well under different loads, so stability can be measured.

Efficient use of resources

CPU, memory, and network usage are optimized for more efficiency.

Integrate with CI/CD Seams

Starts performance tests automatically for your continuous integration and regression cycle.

Lower Manual Work

Automate the repetitive tests so that engineers spend their time in more useful aspects.Better UI / API Synchronization (Acc. Performance monitor API interactions to improve front-end)

Tools to be used for implementation

UI Performance Testing Tools

Lighthouse Webpage test
Selenium Grid
Cypress
Playwright

API Testing Tools (Ahrish)

JMeter
Postman
K6

Load Testing and Stress Tools

Gatling
Locust

Infrastructure & Network Monitoring Tools

New Relic
Datadog
Google Analytics
GT Metrix

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