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AutoZone: App Performance

Improving App Performance by 200%

We boosted the app's speed, cutting loading times by over 200%. Our SEO enhancements surpassed client expectations, enhancing both user and developer experiences.

CLIENT INFO
AutoZone is a major player in automotive retail. It’s a huge e-commerce company operating through a complex application on mobile and web.
Industry
Automotive
Company type
Enterprise
Region
USA, Mexico, Puerto Rico, Brazil
tech INFO
We addressed performance challenges in AutoZone's React Native apps, focusing on optimizing the underperforming web app.
Technologies
React | JavaScript | Next.js | Node.js
Platforms
Web (Desktop & Mobile)
Tech Stack
Lighthouse | Bundle Analyzer | Source Map Explorer | React Dev Tools
highlight
200%

is how much we enhanced the app performance

Before 14.5s
After 2.5s
35k
lines of code
7
months of work
800
code commits
88%
decreased shimmer render time
50%
quicker load times for chats on subsequent visits
50%
faster rendering time for chats
18%
less frame junk when scrolling
before
The refresh time was 5-11 seconds
after
The refresh time was reduced to ~2 s

Instant Preview

Developers can instantly preview code changes on real devices without a complex setup.
AutoZone: App Performance
CHALLENGE

When AutoZone sought our expertise, the challenge was to address performance issues with their internal React Native apps, particularly the ones for delivery drivers and B2B auto parts ordering. 

As we delved into the project, our focus shifted to the AutoZone web app, already in development for two years with unsatisfactory performance. Recognizing the client's goal to improve web performance and SEO rankings on Google, we geared our efforts to help them achieve the desired results.

SOLUTIONS

CORE WEB VITALS

Working closely with the client's SEO team, we focused on Core Web Vitals metrics, including:

  • Time To Interactive, 
  • Largest Contentful Paint, 
  • First Contentful Paint, 
  • Cumulative Layout Shift with Time To First Byte 

LIGHTHOUSE MONITORING

Continuous monitoring with Lighthouse resulted in:

  • 200% improvement in app performance, 
  • faster loading times, 
  • and a significant boost in SEO rankings. 

Our efforts included optimizing a large shared JS bundle and leveraging tools like Bundle Analyzer and Source Map Explorer.

define
Identified confirmed/reported issues such as re-renders and created a backlog for potential improvements.
measure
Used Macro tool measurements.
ANALYZE
Selected the most promising performance changes.
IMPROVE
Implemented changes following React Native best practices.
CONTROL
Re-measured with the Marco tool and compared to the 4.58.0 native version.
Deployment
 Developed the release process for both Android and iOS.
API DESIGN
Proposed an API based on the Rive Android library features.
INTEGRATION
Implemented Rive SDK integration for Android and created an example app for testing.
iOS SUPPORT
Extended the integration to iOS after successful Android testing.
AUTOMATION
Created a Github Action workflow for automated library releases.
PUBLIC RELEASE
Made the library publicly available on platforms like CocoaPods and Maven.
DEPENDENCIES
Managing dependencies, including Expo and react-native packages for each new release.
RELEASES
Automating the release process with custom GitHub Actions.
TRAINING
Providing React Native training through pair programming, code reviews, and workshops.
RESULTS

We improved web app performance by 200% and increased SEO rankings.

We achieved these results by taking the following steps:
01
CODE REFACTORING
Kicked off the project with refactoring the whole socket.MIGRATION Migrated the codebase to TypeScript.
02
MIGRATION
Migrated the codebase to TypeScript.
03
DEPENDENCIES
Upgraded major dependencies such as Expo, React Navigation, and React Query.
04
PAYMENTS
Created two options: In-app purchase with Google Play or App Store and credit card payment.
05
linking
Sorted out links, integrated content, and implemented html rendering.
We provided full front-end support, project configuration, feature parity, and expert advice on technical and user experience. We also implemented a new design guideline, including dark mode with auto theme detection.
01
RN PAPER
Forked the React Native Paper library.
02
ci
Established continuous integration for automated code updates.
03
testing
Set up a Storybook for component testing.
04
design
Developed the basis of the design – color, layout, and typography.
Once we had the basics down, we started working on the UI library components. The components we developed included: AppBar, TextField. Button, Icon Button, Toast, which included animation and swipe-to-dismiss, Match Status, Search, and many more!
Apart from all the fixes and improvements, we provided metrics that should be tracked over time so the client knows exactly what to monitor and correct to maintain great performance levels long term.
16.8s
App start time, before 48.5s
 8.6s
Report screen load time, before 15.9s
2.5s
Sending a message, before 14.5s
60FPS
Average FPS on LHN
2.6s
Search screen load time, before 11.8s
01
Together
we acted as staff augmentation within Advantys’ team.
02
Engaged
in collaborative problem-solving and solution exploration.
03
supervised
by Advantys' CTO, the project utilized GitHub, Notion, and Slack for communication.
01
migrating
from a custom server-side rendering (SSR) solution to Next.js 
02
Focusing
on Core Web Vitals metrics
03
Optimizing
a large shared JS bundle 
04
Introducing
Fast Refresh for accelerated development iterations
The introduction of Fast Refresh in Next.js further accelerated development iterations. All in all, it contributed to an enhanced user and developer experience.In a span of several months, our team effectively overhauled the AutoZone app's performance, which initially struggled on both desktop and mobile devices. To find out more about the whole AutoZone project, head over to the case study on main case study title
01
strong
architecture with professional maintenance and continuous updates
02
high
code coverage with quality-compliant unit and integration tests
03
Comprehensive
testing, including end-to-end.
04
Faster
time-to-market with mobile process automation.
05
New PoC
features like biometrics and mobile health kit integration.
Last but not least, our collaboration significantly enhanced the knowledge of Thriva's development team regarding React and React Native.
Autozone app
  • Students new to programming and React Native
  • Web developers unfamiliar with device APIs and native apps
  • Native developers exploring web app frameworks and React Native's UX potential
  • React Native developers prototyping and sharing ideas
  • Library maintainers creating examples and documentation
  • Users providing reproducible cases for bug reports
  • Speakers and workshop presenters conducting live coding sessions
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CALLSTACK APPROACH

Leading-edge technologies

Operating within the React Universe, we harness advanced solutions in React.js and React Native. This enables perpetual app refinement, ensuring your platform evolves with your needs.

Agile collaboration

From the beginning we embed ourselves within AutoZone's teams, fostering alignment and transparency. Our collaborative model involves knowledge sharing - by joining an in-house team our developers become expert colleagues who can help.

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CALLSTACK APPROACH
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“The team at Callstack are the most experienced and trusted engineers in the React Native community and ecosystem.”

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DevRel + XD at EigenLayer / EigenDA

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In brief

We optimized the client’s mobile app performance and introduced a custom tool to measure performance regressions. We set up performance tests and documentation to enable a seamless transition of knowledge with the in-house team of developers.

Client Info
Entain is one of the world’s largest sports betting and gaming entertainment groups.
Industry
Commercial gaming
Company type
Enterprise
Region
Australia, Asia & Oceania
Tech Info
Performance optimization project with the best practices, approaches & tech solutions
Technologies
React Native | Native
Platforms
iOS | Android
Stack
Redux | Tanstack | Reassure | GraphQL

Performance Boost

87.5%

In 87.5% of the screens, the number of rerenders decreased or remained the same, which affected the acceleration of the initial performance.

React Universe

In brief

Leveraging tools like Lighthouse and Next.js functionalities, we significantly improved the app's performance, reducing loading times by at least 200%. The SEO improvements achieved exceeded the client's expectations, marking a successful collaboration that optimized the app for superior user and developer experiences.

Introduction

AutoZone is a major player in automotive retail with almost seven thousand stores worldwide. It’s a huge e-commerce company operating through a complex application on mobile and web.

In a span of several months, our team effectively overhauled the AutoZone app's performance, which initially struggled on both desktop and mobile devices.

Challenge

When AutoZone sought our expertise, the challenge was to address performance issues with their internal React Native apps, particularly the ones for delivery drivers and B2B auto parts ordering. 

As we delved into the project, our focus shifted to the AutoZone web app, already in development for two years with unsatisfactory performance. Recognizing the client's goal to improve web performance and SEO rankings on Google, we geared our efforts to help them achieve the desired results.

Solutions

Working closely with the client's SEO team, we focused on Core Web Vitals metrics, including:

  • Time To Interactive, 
  • Largest Contentful Paint, 
  • First Contentful Paint, 
  • Cumulative Layout Shift with Time To First Byte 

Continuous monitoring with Lighthouse resulted in:

  • 200% improvement in app performance, 
  • faster loading times, 
  • and a significant boost in SEO rankings. 

Our efforts included optimizing a large shared JS bundle and leveraging tools like Bundle Analyzer and Source Map Explorer.

Results

graph showing refresh time improvement

We improved web app performance by 200% and increased SEO rankings. We achieved these results by taking the following steps:

  • migrating from a custom server-side rendering (SSR) solution to Next.js, 
  • focusing on Core Web Vitals metrics, 
  • optimizing a large shared JS bundle, 
  • and introducing Fast Refresh for accelerated development iterations.

The introduction of Fast Refresh in Next.js further accelerated development iterations. All in all, it contributed to an enhanced user and developer experience.

The challenges we’ve solved so far

Related services

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