Performance Optimization of a Standalone App for a Cultural Institution

Performance optimization of a standalone app featuring high-resolution historical imagery.

Industry:  Cultural Institution

Region:  Isreal

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60-70%

faster load times for high-resolution images.

50%

Performance boost

30%

Reduction in resource usage

Project Overview

The client, a renowned cultural institution, had a standalone app designed to enrich visitor experiences at libraries and historical sites. The app featured extensive high-resolution historical imagery, aiming to transport users back in time with vivid visual details. However, the large image sizes (several GBs) significantly affected the app’s performance, leading to sluggish load times and unsatisfactory user experience.

Project Challenges

The key challenge we faced was the app’s standalone nature, which restricted our ability to conduct extensive testing or implement radical changes.

project-challenges
  • Solve the delays when access accessing frequently requested data, primarily due to excessive database queries.
  • A solution to eliminate waiting for high-resolution images to fully load
  • A more effective way to manage frequently accessed data without overwhelming the database became increasingly evident.

Solution

With limited tasks remaining, our team devised the following solutions, which involved implementing caching libraries and utilizing progressive loading techniques.

  • Utilized caching libraries such as Redis and Memcached to optimize data retrieval.
  • Reduced load times by storing frequently accessed data in memory, minimizing database requests.
  • Adopted Progressive Image Loading techniques using libraries like Progressive Image and React Progressive Image.
  • Enabled low-resolution versions of images to load first, providing a quick preview while higher-resolution images loaded in the background.

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